Search is not available for this dataset
id string | submitter string | authors string | title string | comments string | journal-ref string | doi string | report-no string | categories string | license string | abstract string | versions list | update_date timestamp[s] | authors_parsed list | prompt string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1306.4534 | Antonio Lima | Antonio Lima, Manlio De Domenico, Veljko Pejovic, Mirco Musolesi | Exploiting Cellular Data for Disease Containment and Information
Campaigns Strategies in Country-Wide Epidemics | 9 pages, 9 figures. Appeared in Proceedings of NetMob 2013. Boston,
MA, USA. May 2013 | null | null | School of Computer Science University of Birmingham Technical Report
CSR-13-01 | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Human mobility is one of the key factors at the basis of the spreading of
diseases in a population. Containment strategies are usually devised on
movement scenarios based on coarse-grained assumptions. Mobility phone data
provide a unique opportunity for building models and defining strategies based
on very precise i... | [
{
"version": "v1",
"created": "Wed, 19 Jun 2013 13:22:11 GMT"
}
] | 2013-06-20T00:00:00 | [
[
"Lima",
"Antonio",
""
],
[
"De Domenico",
"Manlio",
""
],
[
"Pejovic",
"Veljko",
""
],
[
"Musolesi",
"Mirco",
""
]
] | TITLE: Exploiting Cellular Data for Disease Containment and Information
Campaigns Strategies in Country-Wide Epidemics
ABSTRACT: Human mobility is one of the key factors at the basis of the spreading of
diseases in a population. Containment strategies are usually devised on
movement scenarios based on coarse-grai... |
1305.3633 | Mohammad Pourhomayoun | Mohammad Pourhomayoun, Peter Dugan, Marian Popescu, Denise Risch, Hal
Lewis, Christopher Clark | Classification for Big Dataset of Bioacoustic Signals Based on Human
Scoring System and Artificial Neural Network | To be Submitted to "ICML 2013 Workshop on Machine Learning for
Bioacoustics", 6 pages, 4 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a method to improve sound classification
performance by combining signal features, derived from the time-frequency
spectrogram, with human perception. The method presented herein exploits an
artificial neural network (ANN) and learns the signal features based on the
human perception knowledg... | [
{
"version": "v1",
"created": "Wed, 15 May 2013 20:53:39 GMT"
},
{
"version": "v2",
"created": "Mon, 17 Jun 2013 20:29:14 GMT"
}
] | 2013-06-19T00:00:00 | [
[
"Pourhomayoun",
"Mohammad",
""
],
[
"Dugan",
"Peter",
""
],
[
"Popescu",
"Marian",
""
],
[
"Risch",
"Denise",
""
],
[
"Lewis",
"Hal",
""
],
[
"Clark",
"Christopher",
""
]
] | TITLE: Classification for Big Dataset of Bioacoustic Signals Based on Human
Scoring System and Artificial Neural Network
ABSTRACT: In this paper, we propose a method to improve sound classification
performance by combining signal features, derived from the time-frequency
spectrogram, with human perception. The me... |
1305.3635 | Mohammad Pourhomayoun | Mohammad Pourhomayoun, Peter Dugan, Marian Popescu, Christopher Clark | Bioacoustic Signal Classification Based on Continuous Region Processing,
Grid Masking and Artificial Neural Network | To be Submitted to "ICML 2013 Workshop on Machine Learning for
Bioacoustics", 6 pages, 8 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we develop a novel method based on machine-learning and image
processing to identify North Atlantic right whale (NARW) up-calls in the
presence of high levels of ambient and interfering noise. We apply a continuous
region algorithm on the spectrogram to extract the regions of interest, and
then use gri... | [
{
"version": "v1",
"created": "Wed, 15 May 2013 20:59:03 GMT"
},
{
"version": "v2",
"created": "Mon, 17 Jun 2013 20:28:33 GMT"
}
] | 2013-06-19T00:00:00 | [
[
"Pourhomayoun",
"Mohammad",
""
],
[
"Dugan",
"Peter",
""
],
[
"Popescu",
"Marian",
""
],
[
"Clark",
"Christopher",
""
]
] | TITLE: Bioacoustic Signal Classification Based on Continuous Region Processing,
Grid Masking and Artificial Neural Network
ABSTRACT: In this paper, we develop a novel method based on machine-learning and image
processing to identify North Atlantic right whale (NARW) up-calls in the
presence of high levels of ambi... |
1306.4207 | Ragesh Jaiswal | Ragesh Jaiswal and Prachi Jain and Saumya Yadav | A bad 2-dimensional instance for k-means++ | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The k-means++ seeding algorithm is one of the most popular algorithms that is
used for finding the initial $k$ centers when using the k-means heuristic. The
algorithm is a simple sampling procedure and can be described as follows:
{quote} Pick the first center randomly from among the given points. For $i >
1$, pick a... | [
{
"version": "v1",
"created": "Tue, 18 Jun 2013 14:22:12 GMT"
}
] | 2013-06-19T00:00:00 | [
[
"Jaiswal",
"Ragesh",
""
],
[
"Jain",
"Prachi",
""
],
[
"Yadav",
"Saumya",
""
]
] | TITLE: A bad 2-dimensional instance for k-means++
ABSTRACT: The k-means++ seeding algorithm is one of the most popular algorithms that is
used for finding the initial $k$ centers when using the k-means heuristic. The
algorithm is a simple sampling procedure and can be described as follows:
{quote} Pick the first ce... |
1211.6014 | Vincent A Traag | Bal\'azs Cs. Cs\'aji, Arnaud Browet, V.A. Traag, Jean-Charles
Delvenne, Etienne Huens, Paul Van Dooren, Zbigniew Smoreda and Vincent D.
Blondel | Exploring the Mobility of Mobile Phone Users | 16 pages, 12 figures | Physica A 392(6), pp. 1459-1473 (2013) | 10.1016/j.physa.2012.11.040 | null | physics.soc-ph cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Mobile phone datasets allow for the analysis of human behavior on an
unprecedented scale. The social network, temporal dynamics and mobile behavior
of mobile phone users have often been analyzed independently from each other
using mobile phone datasets. In this article, we explore the connections
between various feat... | [
{
"version": "v1",
"created": "Mon, 26 Nov 2012 16:30:59 GMT"
}
] | 2013-06-17T00:00:00 | [
[
"Csáji",
"Balázs Cs.",
""
],
[
"Browet",
"Arnaud",
""
],
[
"Traag",
"V. A.",
""
],
[
"Delvenne",
"Jean-Charles",
""
],
[
"Huens",
"Etienne",
""
],
[
"Van Dooren",
"Paul",
""
],
[
"Smoreda",
"Zbigniew",
""
... | TITLE: Exploring the Mobility of Mobile Phone Users
ABSTRACT: Mobile phone datasets allow for the analysis of human behavior on an
unprecedented scale. The social network, temporal dynamics and mobile behavior
of mobile phone users have often been analyzed independently from each other
using mobile phone datasets. ... |
1306.3294 | Quan Wang | Quan Wang, Kim L. Boyer | Feature Learning by Multidimensional Scaling and its Applications in
Object Recognition | To appear in SIBGRAPI 2013 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present the MDS feature learning framework, in which multidimensional
scaling (MDS) is applied on high-level pairwise image distances to learn
fixed-length vector representations of images. The aspects of the images that
are captured by the learned features, which we call MDS features, completely
depend on what ki... | [
{
"version": "v1",
"created": "Fri, 14 Jun 2013 04:43:40 GMT"
}
] | 2013-06-17T00:00:00 | [
[
"Wang",
"Quan",
""
],
[
"Boyer",
"Kim L.",
""
]
] | TITLE: Feature Learning by Multidimensional Scaling and its Applications in
Object Recognition
ABSTRACT: We present the MDS feature learning framework, in which multidimensional
scaling (MDS) is applied on high-level pairwise image distances to learn
fixed-length vector representations of images. The aspects of t... |
1306.3474 | Yijun Wang | Yijun Wang | Classifying Single-Trial EEG during Motor Imagery with a Small Training
Set | 13 pages, 3 figures | null | null | null | cs.LG cs.HC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Before the operation of a motor imagery based brain-computer interface (BCI)
adopting machine learning techniques, a cumbersome training procedure is
unavoidable. The development of a practical BCI posed the challenge of
classifying single-trial EEG with a small training set. In this letter, we
addressed this problem... | [
{
"version": "v1",
"created": "Fri, 14 Jun 2013 18:24:19 GMT"
}
] | 2013-06-17T00:00:00 | [
[
"Wang",
"Yijun",
""
]
] | TITLE: Classifying Single-Trial EEG during Motor Imagery with a Small Training
Set
ABSTRACT: Before the operation of a motor imagery based brain-computer interface (BCI)
adopting machine learning techniques, a cumbersome training procedure is
unavoidable. The development of a practical BCI posed the challenge of
... |
1306.3003 | Xuhui Fan | Xuhui Fan, Yiling Zeng, Longbing Cao | Non-parametric Power-law Data Clustering | null | null | null | null | cs.LG cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | It has always been a great challenge for clustering algorithms to
automatically determine the cluster numbers according to the distribution of
datasets. Several approaches have been proposed to address this issue,
including the recent promising work which incorporate Bayesian Nonparametrics
into the $k$-means cluster... | [
{
"version": "v1",
"created": "Thu, 13 Jun 2013 01:20:50 GMT"
}
] | 2013-06-14T00:00:00 | [
[
"Fan",
"Xuhui",
""
],
[
"Zeng",
"Yiling",
""
],
[
"Cao",
"Longbing",
""
]
] | TITLE: Non-parametric Power-law Data Clustering
ABSTRACT: It has always been a great challenge for clustering algorithms to
automatically determine the cluster numbers according to the distribution of
datasets. Several approaches have been proposed to address this issue,
including the recent promising work which in... |
1306.3058 | Sebastien Paris | S\'ebastien Paris and Yann Doh and Herv\'e Glotin and Xanadu Halkias
and Joseph Razik | Physeter catodon localization by sparse coding | 6 pages, 6 figures, workshop ICML4B in ICML 2013 conference | null | null | null | cs.LG cs.CE stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a spermwhale' localization architecture using jointly a
bag-of-features (BoF) approach and machine learning framework. BoF methods are
known, especially in computer vision, to produce from a collection of local
features a global representation invariant to principal signal transformations.
Our ide... | [
{
"version": "v1",
"created": "Thu, 13 Jun 2013 09:05:08 GMT"
}
] | 2013-06-14T00:00:00 | [
[
"Paris",
"Sébastien",
""
],
[
"Doh",
"Yann",
""
],
[
"Glotin",
"Hervé",
""
],
[
"Halkias",
"Xanadu",
""
],
[
"Razik",
"Joseph",
""
]
] | TITLE: Physeter catodon localization by sparse coding
ABSTRACT: This paper presents a spermwhale' localization architecture using jointly a
bag-of-features (BoF) approach and machine learning framework. BoF methods are
known, especially in computer vision, to produce from a collection of local
features a global rep... |
1306.3084 | Doriane Ibarra | Jorge Hernandez (CMM), Beatriz Marcotegui (CMM) | Segmentation et Interpr\'etation de Nuages de Points pour la
Mod\'elisation d'Environnements Urbains | null | Revue fran\c{c}aise de photogrammetrie et de t\'el\'edection 191
(2008) 28-35 | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Dans cet article, nous pr\'esentons une m\'ethode pour la d\'etection et la
classification d'artefacts au niveau du sol, comme phase de filtrage
pr\'ealable \`a la mod\'elisation d'environnements urbains. La m\'ethode de
d\'etection est r\'ealis\'ee sur l'image profondeur, une projection de nuage de
points sur un pla... | [
{
"version": "v1",
"created": "Thu, 13 Jun 2013 11:27:58 GMT"
}
] | 2013-06-14T00:00:00 | [
[
"Hernandez",
"Jorge",
"",
"CMM"
],
[
"Marcotegui",
"Beatriz",
"",
"CMM"
]
] | TITLE: Segmentation et Interpr\'etation de Nuages de Points pour la
Mod\'elisation d'Environnements Urbains
ABSTRACT: Dans cet article, nous pr\'esentons une m\'ethode pour la d\'etection et la
classification d'artefacts au niveau du sol, comme phase de filtrage
pr\'ealable \`a la mod\'elisation d'environnements ... |
1306.2795 | Ronan Collobert | Pedro H. O. Pinheiro, Ronan Collobert | Recurrent Convolutional Neural Networks for Scene Parsing | null | null | null | Idiap-RR-22-2013 | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Scene parsing is a technique that consist on giving a label to all pixels in
an image according to the class they belong to. To ensure a good visual
coherence and a high class accuracy, it is essential for a scene parser to
capture image long range dependencies. In a feed-forward architecture, this can
be simply achi... | [
{
"version": "v1",
"created": "Wed, 12 Jun 2013 11:56:57 GMT"
}
] | 2013-06-13T00:00:00 | [
[
"Pinheiro",
"Pedro H. O.",
""
],
[
"Collobert",
"Ronan",
""
]
] | TITLE: Recurrent Convolutional Neural Networks for Scene Parsing
ABSTRACT: Scene parsing is a technique that consist on giving a label to all pixels in
an image according to the class they belong to. To ensure a good visual
coherence and a high class accuracy, it is essential for a scene parser to
capture image lon... |
1306.2864 | Catarina Moreira | Catarina Moreira and Andreas Wichert | Finding Academic Experts on a MultiSensor Approach using Shannon's
Entropy | null | Journal of Expert Systems with Applications, 2013, volume 40,
issue 14 | 10.1016/j.eswa.2013.04.001 | null | cs.AI cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Expert finding is an information retrieval task concerned with the search for
the most knowledgeable people, in some topic, with basis on documents
describing peoples activities. The task involves taking a user query as input
and returning a list of people sorted by their level of expertise regarding the
user query. ... | [
{
"version": "v1",
"created": "Wed, 12 Jun 2013 15:35:57 GMT"
}
] | 2013-06-13T00:00:00 | [
[
"Moreira",
"Catarina",
""
],
[
"Wichert",
"Andreas",
""
]
] | TITLE: Finding Academic Experts on a MultiSensor Approach using Shannon's
Entropy
ABSTRACT: Expert finding is an information retrieval task concerned with the search for
the most knowledgeable people, in some topic, with basis on documents
describing peoples activities. The task involves taking a user query as in... |
1306.2459 | Sutanay Choudhury | Sutanay Choudhury, Lawrence Holder, George Chin, John Feo | Fast Search for Dynamic Multi-Relational Graphs | SIGMOD Workshop on Dynamic Networks Management and Mining (DyNetMM),
2013 | null | null | null | cs.DB | http://creativecommons.org/licenses/publicdomain/ | Acting on time-critical events by processing ever growing social media or
news streams is a major technical challenge. Many of these data sources can be
modeled as multi-relational graphs. Continuous queries or techniques to search
for rare events that typically arise in monitoring applications have been
studied exte... | [
{
"version": "v1",
"created": "Tue, 11 Jun 2013 09:21:42 GMT"
}
] | 2013-06-12T00:00:00 | [
[
"Choudhury",
"Sutanay",
""
],
[
"Holder",
"Lawrence",
""
],
[
"Chin",
"George",
""
],
[
"Feo",
"John",
""
]
] | TITLE: Fast Search for Dynamic Multi-Relational Graphs
ABSTRACT: Acting on time-critical events by processing ever growing social media or
news streams is a major technical challenge. Many of these data sources can be
modeled as multi-relational graphs. Continuous queries or techniques to search
for rare events tha... |
1306.2539 | Albane Saintenoy | Albane Saintenoy (IDES), J.-M. Friedt (UMR 6174), Adam D. Booth, F.
Tolle (Th\'eMA), E. Bernard (Th\'eMA), Dominique Laffly (GEODE), C. Marlin
(IDES), M. Griselin (Th\'eMA) | Deriving ice thickness, glacier volume and bedrock morphology of the
Austre Lov\'enbreen (Svalbard) using Ground-penetrating Radar | null | Near Surface Geophysics 11 (2013) 253-261 | null | null | physics.geo-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Austre Lov\'enbreen is a 4.6 km2 glacier on the Archipelago of Svalbard
(79 degrees N) that has been surveyed over the last 47 years in order of
monitoring in particular the glacier evolution and associated hydrological
phenomena in the context of nowadays global warming. A three-week field survey
over April 2010... | [
{
"version": "v1",
"created": "Tue, 11 Jun 2013 14:45:13 GMT"
}
] | 2013-06-12T00:00:00 | [
[
"Saintenoy",
"Albane",
"",
"IDES"
],
[
"Friedt",
"J. -M.",
"",
"UMR 6174"
],
[
"Booth",
"Adam D.",
"",
"ThéMA"
],
[
"Tolle",
"F.",
"",
"ThéMA"
],
[
"Bernard",
"E.",
"",
"ThéMA"
],
[
"Laffly",
"Dominique",
... | TITLE: Deriving ice thickness, glacier volume and bedrock morphology of the
Austre Lov\'enbreen (Svalbard) using Ground-penetrating Radar
ABSTRACT: The Austre Lov\'enbreen is a 4.6 km2 glacier on the Archipelago of Svalbard
(79 degrees N) that has been surveyed over the last 47 years in order of
monitoring in par... |
1306.2597 | Tao Qin Dr. | Tao Qin and Tie-Yan Liu | Introducing LETOR 4.0 Datasets | null | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | LETOR is a package of benchmark data sets for research on LEarning TO Rank,
which contains standard features, relevance judgments, data partitioning,
evaluation tools, and several baselines. Version 1.0 was released in April
2007. Version 2.0 was released in Dec. 2007. Version 3.0 was released in Dec.
2008. This vers... | [
{
"version": "v1",
"created": "Sun, 9 Jun 2013 09:58:00 GMT"
}
] | 2013-06-12T00:00:00 | [
[
"Qin",
"Tao",
""
],
[
"Liu",
"Tie-Yan",
""
]
] | TITLE: Introducing LETOR 4.0 Datasets
ABSTRACT: LETOR is a package of benchmark data sets for research on LEarning TO Rank,
which contains standard features, relevance judgments, data partitioning,
evaluation tools, and several baselines. Version 1.0 was released in April
2007. Version 2.0 was released in Dec. 2007... |
1306.1850 | Ayad Ghany Ismaeel | Ayad Ghany Ismaeel, Anar Auda Ablahad | Enhancement of a Novel Method for Mutational Disease Prediction using
Bioinformatics Techniques and Backpropagation Algorithm | 5 pages, 8 figures, 1 Table, conference or other essential info | International Journal of Scientific & Engineering Research, Volume
4, Issue 6, June 2013 pages 1169-1173 | null | null | cs.CE q-bio.QM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The noval method for mutational disease prediction using bioinformatics tools
and datasets for diagnosis the malignant mutations with powerful Artificial
Neural Network (Backpropagation Network) for classifying these malignant
mutations are related to gene(s) (like BRCA1 and BRCA2) cause a disease (breast
cancer). Th... | [
{
"version": "v1",
"created": "Fri, 7 Jun 2013 21:53:25 GMT"
}
] | 2013-06-11T00:00:00 | [
[
"Ismaeel",
"Ayad Ghany",
""
],
[
"Ablahad",
"Anar Auda",
""
]
] | TITLE: Enhancement of a Novel Method for Mutational Disease Prediction using
Bioinformatics Techniques and Backpropagation Algorithm
ABSTRACT: The noval method for mutational disease prediction using bioinformatics tools
and datasets for diagnosis the malignant mutations with powerful Artificial
Neural Network (B... |
1306.2084 | Maximilian Nickel | Maximilian Nickel, Volker Tresp | Logistic Tensor Factorization for Multi-Relational Data | Accepted at ICML 2013 Workshop "Structured Learning: Inferring Graphs
from Structured and Unstructured Inputs" (SLG 2013) | null | null | null | stat.ML cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Tensor factorizations have become increasingly popular approaches for various
learning tasks on structured data. In this work, we extend the RESCAL tensor
factorization, which has shown state-of-the-art results for multi-relational
learning, to account for the binary nature of adjacency tensors. We study the
improvem... | [
{
"version": "v1",
"created": "Mon, 10 Jun 2013 01:45:49 GMT"
}
] | 2013-06-11T00:00:00 | [
[
"Nickel",
"Maximilian",
""
],
[
"Tresp",
"Volker",
""
]
] | TITLE: Logistic Tensor Factorization for Multi-Relational Data
ABSTRACT: Tensor factorizations have become increasingly popular approaches for various
learning tasks on structured data. In this work, we extend the RESCAL tensor
factorization, which has shown state-of-the-art results for multi-relational
learning, t... |
1306.2118 | E.N.Sathishkumar | E.N.Sathishkumar, K.Thangavel, T.Chandrasekhar | A Novel Approach for Single Gene Selection Using Clustering and
Dimensionality Reduction | 6 pages, 4 figures. arXiv admin note: text overlap with
arXiv:1306.1323 | International Journal of Scientific & Engineering Research, Volume
4, Issue 5, May-2013, page no 1540-1545 | null | null | cs.CE cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We extend the standard rough set-based approach to deal with huge amounts of
numeric attributes versus small amount of available objects. Here, a novel
approach of clustering along with dimensionality reduction; Hybrid Fuzzy C
Means-Quick Reduct (FCMQR) algorithm is proposed for single gene selection.
Gene selection ... | [
{
"version": "v1",
"created": "Mon, 10 Jun 2013 07:28:51 GMT"
}
] | 2013-06-11T00:00:00 | [
[
"Sathishkumar",
"E. N.",
""
],
[
"Thangavel",
"K.",
""
],
[
"Chandrasekhar",
"T.",
""
]
] | TITLE: A Novel Approach for Single Gene Selection Using Clustering and
Dimensionality Reduction
ABSTRACT: We extend the standard rough set-based approach to deal with huge amounts of
numeric attributes versus small amount of available objects. Here, a novel
approach of clustering along with dimensionality reducti... |
1305.0445 | Yoshua Bengio | Yoshua Bengio | Deep Learning of Representations: Looking Forward | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep learning research aims at discovering learning algorithms that discover
multiple levels of distributed representations, with higher levels representing
more abstract concepts. Although the study of deep learning has already led to
impressive theoretical results, learning algorithms and breakthrough
experiments, ... | [
{
"version": "v1",
"created": "Thu, 2 May 2013 14:33:28 GMT"
},
{
"version": "v2",
"created": "Fri, 7 Jun 2013 02:35:21 GMT"
}
] | 2013-06-10T00:00:00 | [
[
"Bengio",
"Yoshua",
""
]
] | TITLE: Deep Learning of Representations: Looking Forward
ABSTRACT: Deep learning research aims at discovering learning algorithms that discover
multiple levels of distributed representations, with higher levels representing
more abstract concepts. Although the study of deep learning has already led to
impressive th... |
1306.1716 | Alexander Petukhov | Alexander Petukhov and Inna Kozlov | Fast greedy algorithm for subspace clustering from corrupted and
incomplete data | arXiv admin note: substantial text overlap with arXiv:1304.4282 | null | null | null | cs.LG cs.DS math.NA stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We describe the Fast Greedy Sparse Subspace Clustering (FGSSC) algorithm
providing an efficient method for clustering data belonging to a few
low-dimensional linear or affine subspaces. The main difference of our
algorithm from predecessors is its ability to work with noisy data having a
high rate of erasures (missed... | [
{
"version": "v1",
"created": "Fri, 7 Jun 2013 13:14:50 GMT"
}
] | 2013-06-10T00:00:00 | [
[
"Petukhov",
"Alexander",
""
],
[
"Kozlov",
"Inna",
""
]
] | TITLE: Fast greedy algorithm for subspace clustering from corrupted and
incomplete data
ABSTRACT: We describe the Fast Greedy Sparse Subspace Clustering (FGSSC) algorithm
providing an efficient method for clustering data belonging to a few
low-dimensional linear or affine subspaces. The main difference of our
alg... |
1104.2930 | Donghui Yan | Donghui Yan, Aiyou Chen, Michael I. Jordan | Cluster Forests | 23 pages, 6 figures | Computational Statistics and Data Analysis 2013, Vol. 66, 178-192 | 10.1016/j.csda.2013.04.010 | COMSTA5571 | stat.ME cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With inspiration from Random Forests (RF) in the context of classification, a
new clustering ensemble method---Cluster Forests (CF) is proposed.
Geometrically, CF randomly probes a high-dimensional data cloud to obtain "good
local clusterings" and then aggregates via spectral clustering to obtain
cluster assignments ... | [
{
"version": "v1",
"created": "Thu, 14 Apr 2011 21:29:10 GMT"
},
{
"version": "v2",
"created": "Mon, 18 Apr 2011 05:06:04 GMT"
},
{
"version": "v3",
"created": "Thu, 23 May 2013 21:17:26 GMT"
}
] | 2013-06-07T00:00:00 | [
[
"Yan",
"Donghui",
""
],
[
"Chen",
"Aiyou",
""
],
[
"Jordan",
"Michael I.",
""
]
] | TITLE: Cluster Forests
ABSTRACT: With inspiration from Random Forests (RF) in the context of classification, a
new clustering ensemble method---Cluster Forests (CF) is proposed.
Geometrically, CF randomly probes a high-dimensional data cloud to obtain "good
local clusterings" and then aggregates via spectral cluste... |
1306.1298 | Allon G. Percus | Cristina Garcia-Cardona, Arjuna Flenner, Allon G. Percus | Multiclass Semi-Supervised Learning on Graphs using Ginzburg-Landau
Functional Minimization | 16 pages, to appear in Springer's Lecture Notes in Computer Science
volume "Pattern Recognition Applications and Methods 2013", part of series on
Advances in Intelligent and Soft Computing | null | null | null | stat.ML cs.LG math.ST physics.data-an stat.TH | http://creativecommons.org/licenses/publicdomain/ | We present a graph-based variational algorithm for classification of
high-dimensional data, generalizing the binary diffuse interface model to the
case of multiple classes. Motivated by total variation techniques, the method
involves minimizing an energy functional made up of three terms. The first two
terms promote ... | [
{
"version": "v1",
"created": "Thu, 6 Jun 2013 05:32:00 GMT"
}
] | 2013-06-07T00:00:00 | [
[
"Garcia-Cardona",
"Cristina",
""
],
[
"Flenner",
"Arjuna",
""
],
[
"Percus",
"Allon G.",
""
]
] | TITLE: Multiclass Semi-Supervised Learning on Graphs using Ginzburg-Landau
Functional Minimization
ABSTRACT: We present a graph-based variational algorithm for classification of
high-dimensional data, generalizing the binary diffuse interface model to the
case of multiple classes. Motivated by total variation tec... |
1209.1797 | Eitan Menahem | Eitan Menahem, Alon Schclar, Lior Rokach, Yuval Elovici | Securing Your Transactions: Detecting Anomalous Patterns In XML
Documents | Journal version (14 pages) | null | null | null | cs.CR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | XML transactions are used in many information systems to store data and
interact with other systems. Abnormal transactions, the result of either an
on-going cyber attack or the actions of a benign user, can potentially harm the
interacting systems and therefore they are regarded as a threat. In this paper
we address ... | [
{
"version": "v1",
"created": "Sun, 9 Sep 2012 13:02:49 GMT"
},
{
"version": "v2",
"created": "Tue, 11 Sep 2012 05:48:34 GMT"
},
{
"version": "v3",
"created": "Wed, 5 Jun 2013 13:19:42 GMT"
}
] | 2013-06-06T00:00:00 | [
[
"Menahem",
"Eitan",
""
],
[
"Schclar",
"Alon",
""
],
[
"Rokach",
"Lior",
""
],
[
"Elovici",
"Yuval",
""
]
] | TITLE: Securing Your Transactions: Detecting Anomalous Patterns In XML
Documents
ABSTRACT: XML transactions are used in many information systems to store data and
interact with other systems. Abnormal transactions, the result of either an
on-going cyber attack or the actions of a benign user, can potentially harm... |
1306.0974 | Jiuqing Wan | Jiuqing Wan, Li Liu | Distributed Bayesian inference for consistent labeling of tracked
objects in non-overlapping camera networks | 19 pages, 8 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | One of the fundamental requirements for visual surveillance using
non-overlapping camera networks is the correct labeling of tracked objects on
each camera in a consistent way,in the sense that the captured tracklets, or
observations in this paper, of the same object at different cameras should be
assigned with the s... | [
{
"version": "v1",
"created": "Wed, 5 Jun 2013 03:50:58 GMT"
}
] | 2013-06-06T00:00:00 | [
[
"Wan",
"Jiuqing",
""
],
[
"Liu",
"Li",
""
]
] | TITLE: Distributed Bayesian inference for consistent labeling of tracked
objects in non-overlapping camera networks
ABSTRACT: One of the fundamental requirements for visual surveillance using
non-overlapping camera networks is the correct labeling of tracked objects on
each camera in a consistent way,in the sense... |
1306.1083 | Puneet Kumar | Pierre-Yves Baudin (INRIA Saclay - Ile de France), Danny Goodman,
Puneet Kumar (INRIA Saclay - Ile de France, CVN), Noura Azzabou (MIRCEN,
UPMC), Pierre G. Carlier (UPMC), Nikos Paragios (INRIA Saclay - Ile de
France, LIGM, ENPC, MAS), M. Pawan Kumar (INRIA Saclay - Ile de France, CVN) | Discriminative Parameter Estimation for Random Walks Segmentation:
Technical Report | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Random Walks (RW) algorithm is one of the most e - cient and easy-to-use
probabilistic segmentation methods. By combining contrast terms with prior
terms, it provides accurate segmentations of medical images in a fully
automated manner. However, one of the main drawbacks of using the RW algorithm
is that its para... | [
{
"version": "v1",
"created": "Wed, 5 Jun 2013 12:48:02 GMT"
}
] | 2013-06-06T00:00:00 | [
[
"Baudin",
"Pierre-Yves",
"",
"INRIA Saclay - Ile de France"
],
[
"Goodman",
"Danny",
"",
"INRIA Saclay - Ile de France, CVN"
],
[
"Kumar",
"Puneet",
"",
"INRIA Saclay - Ile de France, CVN"
],
[
"Azzabou",
"Noura",
"",
"MIRCEN,\n UPMC"
... | TITLE: Discriminative Parameter Estimation for Random Walks Segmentation:
Technical Report
ABSTRACT: The Random Walks (RW) algorithm is one of the most e - cient and easy-to-use
probabilistic segmentation methods. By combining contrast terms with prior
terms, it provides accurate segmentations of medical images i... |
1306.0886 | Felix X. Yu | Felix X. Yu, Dong Liu, Sanjiv Kumar, Tony Jebara, Shih-Fu Chang | $\propto$SVM for learning with label proportions | Appears in Proceedings of the 30th International Conference on
Machine Learning (ICML 2013) | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the problem of learning with label proportions in which the training
data is provided in groups and only the proportion of each class in each group
is known. We propose a new method called proportion-SVM, or $\propto$SVM, which
explicitly models the latent unknown instance labels together with the known
grou... | [
{
"version": "v1",
"created": "Tue, 4 Jun 2013 19:35:31 GMT"
}
] | 2013-06-05T00:00:00 | [
[
"Yu",
"Felix X.",
""
],
[
"Liu",
"Dong",
""
],
[
"Kumar",
"Sanjiv",
""
],
[
"Jebara",
"Tony",
""
],
[
"Chang",
"Shih-Fu",
""
]
] | TITLE: $\propto$SVM for learning with label proportions
ABSTRACT: We study the problem of learning with label proportions in which the training
data is provided in groups and only the proportion of each class in each group
is known. We propose a new method called proportion-SVM, or $\propto$SVM, which
explicitly mo... |
1210.0091 | Hong Zhao | Hong Zhao, Fan Min, William Zhu | Test-cost-sensitive attribute reduction of data with normal distribution
measurement errors | This paper has been withdrawn by the author due to the error of the
title | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The measurement error with normal distribution is universal in applications.
Generally, smaller measurement error requires better instrument and higher test
cost. In decision making based on attribute values of objects, we shall select
an attribute subset with appropriate measurement error to minimize the total
test ... | [
{
"version": "v1",
"created": "Sat, 29 Sep 2012 10:22:55 GMT"
},
{
"version": "v2",
"created": "Mon, 3 Jun 2013 03:15:51 GMT"
}
] | 2013-06-04T00:00:00 | [
[
"Zhao",
"Hong",
""
],
[
"Min",
"Fan",
""
],
[
"Zhu",
"William",
""
]
] | TITLE: Test-cost-sensitive attribute reduction of data with normal distribution
measurement errors
ABSTRACT: The measurement error with normal distribution is universal in applications.
Generally, smaller measurement error requires better instrument and higher test
cost. In decision making based on attribute valu... |
1303.0309 | Krikamol Muandet | Krikamol Muandet and Bernhard Sch\"olkopf | One-Class Support Measure Machines for Group Anomaly Detection | Conference on Uncertainty in Artificial Intelligence (UAI2013) | null | null | null | stat.ML cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose one-class support measure machines (OCSMMs) for group anomaly
detection which aims at recognizing anomalous aggregate behaviors of data
points. The OCSMMs generalize well-known one-class support vector machines
(OCSVMs) to a space of probability measures. By formulating the problem as
quantile estimation o... | [
{
"version": "v1",
"created": "Fri, 1 Mar 2013 21:50:09 GMT"
},
{
"version": "v2",
"created": "Sat, 1 Jun 2013 13:42:46 GMT"
}
] | 2013-06-04T00:00:00 | [
[
"Muandet",
"Krikamol",
""
],
[
"Schölkopf",
"Bernhard",
""
]
] | TITLE: One-Class Support Measure Machines for Group Anomaly Detection
ABSTRACT: We propose one-class support measure machines (OCSMMs) for group anomaly
detection which aims at recognizing anomalous aggregate behaviors of data
points. The OCSMMs generalize well-known one-class support vector machines
(OCSVMs) to a ... |
1306.0152 | Eugenio Culurciello Eugenio Culurciello | Eugenio Culurciello, Jonghoon Jin, Aysegul Dundar, Jordan Bates | An Analysis of the Connections Between Layers of Deep Neural Networks | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present an analysis of different techniques for selecting the connection
be- tween layers of deep neural networks. Traditional deep neural networks use
ran- dom connection tables between layers to keep the number of connections
small and tune to different image features. This kind of connection performs
adequately... | [
{
"version": "v1",
"created": "Sat, 1 Jun 2013 21:37:25 GMT"
}
] | 2013-06-04T00:00:00 | [
[
"Culurciello",
"Eugenio",
""
],
[
"Jin",
"Jonghoon",
""
],
[
"Dundar",
"Aysegul",
""
],
[
"Bates",
"Jordan",
""
]
] | TITLE: An Analysis of the Connections Between Layers of Deep Neural Networks
ABSTRACT: We present an analysis of different techniques for selecting the connection
be- tween layers of deep neural networks. Traditional deep neural networks use
ran- dom connection tables between layers to keep the number of connection... |
1306.0326 | Tomasz Kajdanowicz | Tomasz Kajdanowicz, Przemyslaw Kazienko, Wojciech Indyk | Parallel Processing of Large Graphs | Preprint submitted to Future Generation Computer Systems | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | More and more large data collections are gathered worldwide in various IT
systems. Many of them possess the networked nature and need to be processed and
analysed as graph structures. Due to their size they require very often usage
of parallel paradigm for efficient computation. Three parallel techniques have
been co... | [
{
"version": "v1",
"created": "Mon, 3 Jun 2013 08:44:32 GMT"
}
] | 2013-06-04T00:00:00 | [
[
"Kajdanowicz",
"Tomasz",
""
],
[
"Kazienko",
"Przemyslaw",
""
],
[
"Indyk",
"Wojciech",
""
]
] | TITLE: Parallel Processing of Large Graphs
ABSTRACT: More and more large data collections are gathered worldwide in various IT
systems. Many of them possess the networked nature and need to be processed and
analysed as graph structures. Due to their size they require very often usage
of parallel paradigm for effici... |
1306.0424 | Lionel Tabourier | Abdelhamid Salah Brahim, Lionel Tabourier, B\'en\'edicte Le Grand | A data-driven analysis to question epidemic models for citation cascades
on the blogosphere | 18 pages, 9 figures, to be published in ICWSM-13 proceedings | null | null | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Citation cascades in blog networks are often considered as traces of
information spreading on this social medium. In this work, we question this
point of view using both a structural and semantic analysis of five months
activity of the most representative blogs of the french-speaking
community.Statistical measures re... | [
{
"version": "v1",
"created": "Mon, 3 Jun 2013 14:17:54 GMT"
}
] | 2013-06-04T00:00:00 | [
[
"Brahim",
"Abdelhamid Salah",
""
],
[
"Tabourier",
"Lionel",
""
],
[
"Grand",
"Bénédicte Le",
""
]
] | TITLE: A data-driven analysis to question epidemic models for citation cascades
on the blogosphere
ABSTRACT: Citation cascades in blog networks are often considered as traces of
information spreading on this social medium. In this work, we question this
point of view using both a structural and semantic analysis ... |
1306.0505 | Juan Guan | Kejia Chen, Bo Wang, Juan Guan, and Steve Granick | Diagnosing Heterogeneous Dynamics in Single Molecule/Particle
Trajectories with Multiscale Wavelets | null | null | null | null | physics.data-an physics.bio-ph q-bio.QM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We describe a simple automated method to extract and quantify transient
heterogeneous dynamical changes from large datasets generated in single
molecule/particle tracking experiments. Based on wavelet transform, the method
transforms raw data to locally match dynamics of interest. This is accomplished
using statistic... | [
{
"version": "v1",
"created": "Mon, 3 Jun 2013 17:12:20 GMT"
}
] | 2013-06-04T00:00:00 | [
[
"Chen",
"Kejia",
""
],
[
"Wang",
"Bo",
""
],
[
"Guan",
"Juan",
""
],
[
"Granick",
"Steve",
""
]
] | TITLE: Diagnosing Heterogeneous Dynamics in Single Molecule/Particle
Trajectories with Multiscale Wavelets
ABSTRACT: We describe a simple automated method to extract and quantify transient
heterogeneous dynamical changes from large datasets generated in single
molecule/particle tracking experiments. Based on wave... |
1305.7438 | Tian Qiu | Tian Qiu, Tian-Tian Wang, Zi-Ke Zhang, Li-Xin Zhong, Guang Chen | Heterogeneity Involved Network-based Algorithm Leads to Accurate and
Personalized Recommendations | null | null | null | null | physics.soc-ph cs.IR cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Heterogeneity of both the source and target objects is taken into account in
a network-based algorithm for the directional resource transformation between
objects. Based on a biased heat conduction recommendation method (BHC) which
considers the heterogeneity of the target object, we propose a heterogeneous
heat cond... | [
{
"version": "v1",
"created": "Fri, 31 May 2013 15:01:25 GMT"
}
] | 2013-06-03T00:00:00 | [
[
"Qiu",
"Tian",
""
],
[
"Wang",
"Tian-Tian",
""
],
[
"Zhang",
"Zi-Ke",
""
],
[
"Zhong",
"Li-Xin",
""
],
[
"Chen",
"Guang",
""
]
] | TITLE: Heterogeneity Involved Network-based Algorithm Leads to Accurate and
Personalized Recommendations
ABSTRACT: Heterogeneity of both the source and target objects is taken into account in
a network-based algorithm for the directional resource transformation between
objects. Based on a biased heat conduction r... |
1305.7454 | Uwe Aickelin | Jan Feyereisl, Uwe Aickelin | Privileged Information for Data Clustering | Information Sciences 194, 4-23, 2012 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many machine learning algorithms assume that all input samples are
independently and identically distributed from some common distribution on
either the input space X, in the case of unsupervised learning, or the input
and output space X x Y in the case of supervised and semi-supervised learning.
In the last number o... | [
{
"version": "v1",
"created": "Fri, 31 May 2013 15:28:44 GMT"
}
] | 2013-06-03T00:00:00 | [
[
"Feyereisl",
"Jan",
""
],
[
"Aickelin",
"Uwe",
""
]
] | TITLE: Privileged Information for Data Clustering
ABSTRACT: Many machine learning algorithms assume that all input samples are
independently and identically distributed from some common distribution on
either the input space X, in the case of unsupervised learning, or the input
and output space X x Y in the case of... |
1305.7465 | Uwe Aickelin | Yihui Liu, Uwe Aickelin, Jan Feyereisl, Lindy G. Durrant | Wavelet feature extraction and genetic algorithm for biomarker detection
in colorectal cancer data | null | Knowledge-Based Systems 37, 502-514, 2013 | null | null | cs.NE cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Biomarkers which predict patient's survival can play an important role in
medical diagnosis and treatment. How to select the significant biomarkers from
hundreds of protein markers is a key step in survival analysis. In this paper a
novel method is proposed to detect the prognostic biomarkers of survival in
colorecta... | [
{
"version": "v1",
"created": "Fri, 31 May 2013 15:53:08 GMT"
}
] | 2013-06-03T00:00:00 | [
[
"Liu",
"Yihui",
""
],
[
"Aickelin",
"Uwe",
""
],
[
"Feyereisl",
"Jan",
""
],
[
"Durrant",
"Lindy G.",
""
]
] | TITLE: Wavelet feature extraction and genetic algorithm for biomarker detection
in colorectal cancer data
ABSTRACT: Biomarkers which predict patient's survival can play an important role in
medical diagnosis and treatment. How to select the significant biomarkers from
hundreds of protein markers is a key step in ... |
1210.6844 | Qing-Bin Lu | Qing-Bin Lu | Cosmic-Ray-Driven Reaction and Greenhouse Effect of Halogenated
Molecules: Culprits for Atmospheric Ozone Depletion and Global Climate Change | 24 pages, 12 figures; an updated version | Int. J. Mod. Phys. B Vol. 27 (2013) 1350073 (38 pages) | 10.1142/S0217979213500732 | null | physics.ao-ph physics.atm-clus physics.chem-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This study is focused on the effects of cosmic rays (solar activity) and
halogenated molecules (mainly chlorofluorocarbons-CFCs) on atmospheric O3
depletion and global climate change. Brief reviews are first given on the
cosmic-ray-driven electron-induced-reaction (CRE) theory for O3 depletion and
the warming theory ... | [
{
"version": "v1",
"created": "Tue, 16 Oct 2012 16:32:15 GMT"
},
{
"version": "v2",
"created": "Mon, 13 May 2013 04:54:36 GMT"
}
] | 2013-05-31T00:00:00 | [
[
"Lu",
"Qing-Bin",
""
]
] | TITLE: Cosmic-Ray-Driven Reaction and Greenhouse Effect of Halogenated
Molecules: Culprits for Atmospheric Ozone Depletion and Global Climate Change
ABSTRACT: This study is focused on the effects of cosmic rays (solar activity) and
halogenated molecules (mainly chlorofluorocarbons-CFCs) on atmospheric O3
depletio... |
1206.4229 | Torsten Ensslin | Torsten A. En{\ss}lin | Information field dynamics for simulation scheme construction | 19 pages, 3 color figures, accepted by Phys. Rev. E | null | 10.1103/PhysRevE.87.013308 | null | physics.comp-ph astro-ph.IM cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Information field dynamics (IFD) is introduced here as a framework to derive
numerical schemes for the simulation of physical and other fields without
assuming a particular sub-grid structure as many schemes do. IFD constructs an
ensemble of non-parametric sub-grid field configurations from the combination
of the dat... | [
{
"version": "v1",
"created": "Tue, 19 Jun 2012 15:01:52 GMT"
},
{
"version": "v2",
"created": "Fri, 5 Oct 2012 10:21:19 GMT"
},
{
"version": "v3",
"created": "Sun, 16 Dec 2012 13:24:30 GMT"
},
{
"version": "v4",
"created": "Fri, 28 Dec 2012 12:29:19 GMT"
}
] | 2013-05-30T00:00:00 | [
[
"Enßlin",
"Torsten A.",
""
]
] | TITLE: Information field dynamics for simulation scheme construction
ABSTRACT: Information field dynamics (IFD) is introduced here as a framework to derive
numerical schemes for the simulation of physical and other fields without
assuming a particular sub-grid structure as many schemes do. IFD constructs an
ensembl... |
1304.5862 | Forrest Briggs | Forrest Briggs, Xiaoli Z. Fern, Jed Irvine | Multi-Label Classifier Chains for Bird Sound | 6 pages, 1 figure, submission to ICML 2013 workshop on bioacoustics.
Note: this is a minor revision- the blind submission format has been replaced
with one that shows author names, and a few corrections have been made | null | null | null | cs.LG cs.SD stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Bird sound data collected with unattended microphones for automatic surveys,
or mobile devices for citizen science, typically contain multiple
simultaneously vocalizing birds of different species. However, few works have
considered the multi-label structure in birdsong. We propose to use an ensemble
of classifier cha... | [
{
"version": "v1",
"created": "Mon, 22 Apr 2013 07:44:05 GMT"
},
{
"version": "v2",
"created": "Wed, 29 May 2013 17:36:07 GMT"
}
] | 2013-05-30T00:00:00 | [
[
"Briggs",
"Forrest",
""
],
[
"Fern",
"Xiaoli Z.",
""
],
[
"Irvine",
"Jed",
""
]
] | TITLE: Multi-Label Classifier Chains for Bird Sound
ABSTRACT: Bird sound data collected with unattended microphones for automatic surveys,
or mobile devices for citizen science, typically contain multiple
simultaneously vocalizing birds of different species. However, few works have
considered the multi-label struct... |
0910.1800 | Cyril Furtlehner | Cyril Furtlehner, Michele Sebag and Xiangliang Zhang | Scaling Analysis of Affinity Propagation | 28 pages, 14 figures, Inria research report | Phys. Rev. E 81,066102 (2010) | 10.1103/PhysRevE.81.066102 | 7046 | cs.AI cond-mat.stat-mech | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We analyze and exploit some scaling properties of the Affinity Propagation
(AP) clustering algorithm proposed by Frey and Dueck (2007). First we observe
that a divide and conquer strategy, used on a large data set hierarchically
reduces the complexity ${\cal O}(N^2)$ to ${\cal O}(N^{(h+2)/(h+1)})$, for a
data-set of ... | [
{
"version": "v1",
"created": "Fri, 9 Oct 2009 17:43:35 GMT"
}
] | 2013-05-29T00:00:00 | [
[
"Furtlehner",
"Cyril",
""
],
[
"Sebag",
"Michele",
""
],
[
"Zhang",
"Xiangliang",
""
]
] | TITLE: Scaling Analysis of Affinity Propagation
ABSTRACT: We analyze and exploit some scaling properties of the Affinity Propagation
(AP) clustering algorithm proposed by Frey and Dueck (2007). First we observe
that a divide and conquer strategy, used on a large data set hierarchically
reduces the complexity ${\cal... |
1305.6046 | Sidahmed Mokeddem | Sidahmed Mokeddem, Baghdad Atmani and Mostefa Mokaddem | Supervised Feature Selection for Diagnosis of Coronary Artery Disease
Based on Genetic Algorithm | First International Conference on Computational Science and
Engineering (CSE-2013), May 18 ~ 19, 2013, Dubai, UAE. Volume Editors:
Sundarapandian Vaidyanathan, Dhinaharan Nagamalai | null | 10.5121/csit.2013.3305 | null | cs.LG cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Feature Selection (FS) has become the focus of much research on decision
support systems areas for which data sets with tremendous number of variables
are analyzed. In this paper we present a new method for the diagnosis of
Coronary Artery Diseases (CAD) founded on Genetic Algorithm (GA) wrapped Bayes
Naive (BN) base... | [
{
"version": "v1",
"created": "Sun, 26 May 2013 18:16:52 GMT"
}
] | 2013-05-28T00:00:00 | [
[
"Mokeddem",
"Sidahmed",
""
],
[
"Atmani",
"Baghdad",
""
],
[
"Mokaddem",
"Mostefa",
""
]
] | TITLE: Supervised Feature Selection for Diagnosis of Coronary Artery Disease
Based on Genetic Algorithm
ABSTRACT: Feature Selection (FS) has become the focus of much research on decision
support systems areas for which data sets with tremendous number of variables
are analyzed. In this paper we present a new meth... |
1305.5824 | Slim Bouker | Slim Bouker, Rabie Saidi, Sadok Ben Yahia, Engelbert Mephu Nguifo | Towards a semantic and statistical selection of association rules | null | null | null | null | cs.DB | http://creativecommons.org/licenses/by/3.0/ | The increasing growth of databases raises an urgent need for more accurate
methods to better understand the stored data. In this scope, association rules
were extensively used for the analysis and the comprehension of huge amounts of
data. However, the number of generated rules is too large to be efficiently
analyzed... | [
{
"version": "v1",
"created": "Fri, 24 May 2013 18:46:34 GMT"
}
] | 2013-05-27T00:00:00 | [
[
"Bouker",
"Slim",
""
],
[
"Saidi",
"Rabie",
""
],
[
"Yahia",
"Sadok Ben",
""
],
[
"Nguifo",
"Engelbert Mephu",
""
]
] | TITLE: Towards a semantic and statistical selection of association rules
ABSTRACT: The increasing growth of databases raises an urgent need for more accurate
methods to better understand the stored data. In this scope, association rules
were extensively used for the analysis and the comprehension of huge amounts of... |
1305.5826 | Kian Hsiang Low | Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang, Colin Keng-Yan
Tan, Patrick Jaillet | Parallel Gaussian Process Regression with Low-Rank Covariance Matrix
Approximations | 29th Conference on Uncertainty in Artificial Intelligence (UAI 2013),
Extended version with proofs, 13 pages | null | null | null | stat.ML cs.DC cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Gaussian processes (GP) are Bayesian non-parametric models that are widely
used for probabilistic regression. Unfortunately, it cannot scale well with
large data nor perform real-time predictions due to its cubic time cost in the
data size. This paper presents two parallel GP regression methods that exploit
low-rank ... | [
{
"version": "v1",
"created": "Fri, 24 May 2013 19:00:28 GMT"
}
] | 2013-05-27T00:00:00 | [
[
"Chen",
"Jie",
""
],
[
"Cao",
"Nannan",
""
],
[
"Low",
"Kian Hsiang",
""
],
[
"Ouyang",
"Ruofei",
""
],
[
"Tan",
"Colin Keng-Yan",
""
],
[
"Jaillet",
"Patrick",
""
]
] | TITLE: Parallel Gaussian Process Regression with Low-Rank Covariance Matrix
Approximations
ABSTRACT: Gaussian processes (GP) are Bayesian non-parametric models that are widely
used for probabilistic regression. Unfortunately, it cannot scale well with
large data nor perform real-time predictions due to its cubic ... |
1305.5267 | Bluma Gelley | Bluma S. Gelley | Investigating Deletion in Wikipedia | null | null | null | null | cs.CY cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Several hundred Wikipedia articles are deleted every day because they lack
sufficient significance to be included in the encyclopedia. We collect a
dataset of deleted articles and analyze them to determine whether or not the
deletions were justified. We find evidence to support the hypothesis that many
deletions are ... | [
{
"version": "v1",
"created": "Wed, 22 May 2013 20:54:18 GMT"
}
] | 2013-05-24T00:00:00 | [
[
"Gelley",
"Bluma S.",
""
]
] | TITLE: Investigating Deletion in Wikipedia
ABSTRACT: Several hundred Wikipedia articles are deleted every day because they lack
sufficient significance to be included in the encyclopedia. We collect a
dataset of deleted articles and analyze them to determine whether or not the
deletions were justified. We find evid... |
1305.5306 | Yin Zheng | Yin Zheng, Yu-Jin Zhang, Hugo Larochelle | A Supervised Neural Autoregressive Topic Model for Simultaneous Image
Classification and Annotation | 13 pages, 5 figures | null | null | null | cs.CV cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Topic modeling based on latent Dirichlet allocation (LDA) has been a
framework of choice to perform scene recognition and annotation. Recently, a
new type of topic model called the Document Neural Autoregressive Distribution
Estimator (DocNADE) was proposed and demonstrated state-of-the-art performance
for document m... | [
{
"version": "v1",
"created": "Thu, 23 May 2013 03:35:31 GMT"
}
] | 2013-05-24T00:00:00 | [
[
"Zheng",
"Yin",
""
],
[
"Zhang",
"Yu-Jin",
""
],
[
"Larochelle",
"Hugo",
""
]
] | TITLE: A Supervised Neural Autoregressive Topic Model for Simultaneous Image
Classification and Annotation
ABSTRACT: Topic modeling based on latent Dirichlet allocation (LDA) has been a
framework of choice to perform scene recognition and annotation. Recently, a
new type of topic model called the Document Neural ... |
1304.1209 | Ben Fulcher | Ben D. Fulcher, Max A. Little, Nick S. Jones | Highly comparative time-series analysis: The empirical structure of time
series and their methods | null | J. R. Soc. Interface vol. 10 no. 83 20130048 (2013) | 10.1098/rsif.2013.0048 | null | physics.data-an cs.CV physics.bio-ph q-bio.QM stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The process of collecting and organizing sets of observations represents a
common theme throughout the history of science. However, despite the ubiquity
of scientists measuring, recording, and analyzing the dynamics of different
processes, an extensive organization of scientific time-series data and
analysis methods ... | [
{
"version": "v1",
"created": "Wed, 3 Apr 2013 23:24:02 GMT"
}
] | 2013-05-23T00:00:00 | [
[
"Fulcher",
"Ben D.",
""
],
[
"Little",
"Max A.",
""
],
[
"Jones",
"Nick S.",
""
]
] | TITLE: Highly comparative time-series analysis: The empirical structure of time
series and their methods
ABSTRACT: The process of collecting and organizing sets of observations represents a
common theme throughout the history of science. However, despite the ubiquity
of scientists measuring, recording, and analyz... |
1305.5189 | Neven Caplar | Neven Caplar, Mirko Suznjevic and Maja Matijasevic | Analysis of player's in-game performance vs rating: Case study of Heroes
of Newerth | 8 pages, 14 figures, to appear in proceedings of "Foundation of
Digital Games 2013" conference (14-17 May 2013) | null | null | null | physics.soc-ph cs.SI physics.data-an physics.pop-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We evaluate the rating system of "Heroes of Newerth" (HoN), a multiplayer
online action role-playing game, by using statistical analysis and comparison
of a player's in-game performance metrics and the player rating assigned by the
rating system. The datasets for the analysis have been extracted from the web
sites th... | [
{
"version": "v1",
"created": "Wed, 22 May 2013 16:45:47 GMT"
}
] | 2013-05-23T00:00:00 | [
[
"Caplar",
"Neven",
""
],
[
"Suznjevic",
"Mirko",
""
],
[
"Matijasevic",
"Maja",
""
]
] | TITLE: Analysis of player's in-game performance vs rating: Case study of Heroes
of Newerth
ABSTRACT: We evaluate the rating system of "Heroes of Newerth" (HoN), a multiplayer
online action role-playing game, by using statistical analysis and comparison
of a player's in-game performance metrics and the player rati... |
1209.5601 | Fan Min | Fan Min, Qinghua Hu, William Zhu | Feature selection with test cost constraint | 23 pages | null | 10.1016/j.ijar.2013.04.003 | null | cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Feature selection is an important preprocessing step in machine learning and
data mining. In real-world applications, costs, including money, time and other
resources, are required to acquire the features. In some cases, there is a test
cost constraint due to limited resources. We shall deliberately select an
informa... | [
{
"version": "v1",
"created": "Tue, 25 Sep 2012 13:21:40 GMT"
}
] | 2013-05-22T00:00:00 | [
[
"Min",
"Fan",
""
],
[
"Hu",
"Qinghua",
""
],
[
"Zhu",
"William",
""
]
] | TITLE: Feature selection with test cost constraint
ABSTRACT: Feature selection is an important preprocessing step in machine learning and
data mining. In real-world applications, costs, including money, time and other
resources, are required to acquire the features. In some cases, there is a test
cost constraint du... |
1302.7278 | Gregory Kucherov | Kamil Salikhov, Gustavo Sacomoto, and Gregory Kucherov | Using cascading Bloom filters to improve the memory usage for de Brujin
graphs | 12 pages, submitted | null | null | null | cs.DS | http://creativecommons.org/licenses/by/3.0/ | De Brujin graphs are widely used in bioinformatics for processing
next-generation sequencing data. Due to a very large size of NGS datasets, it
is essential to represent de Bruijn graphs compactly, and several approaches to
this problem have been proposed recently. In this work, we show how to reduce
the memory requi... | [
{
"version": "v1",
"created": "Thu, 28 Feb 2013 18:35:21 GMT"
},
{
"version": "v2",
"created": "Tue, 21 May 2013 15:25:19 GMT"
}
] | 2013-05-22T00:00:00 | [
[
"Salikhov",
"Kamil",
""
],
[
"Sacomoto",
"Gustavo",
""
],
[
"Kucherov",
"Gregory",
""
]
] | TITLE: Using cascading Bloom filters to improve the memory usage for de Brujin
graphs
ABSTRACT: De Brujin graphs are widely used in bioinformatics for processing
next-generation sequencing data. Due to a very large size of NGS datasets, it
is essential to represent de Bruijn graphs compactly, and several approach... |
1305.4820 | Nader Jelassi | Mohamed Nader Jelassi and Sadok Ben Yahia and Engelbert Mephu Nguifo | Nouvelle approche de recommandation personnalisee dans les folksonomies
basee sur le profil des utilisateurs | 7 pages | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In folksonomies, users use to share objects (movies, books, bookmarks, etc.)
by annotating them with a set of tags of their own choice. With the rise of the
Web 2.0 age, users become the core of the system since they are both the
contributors and the creators of the information. Yet, each user has its own
profile and... | [
{
"version": "v1",
"created": "Tue, 21 May 2013 13:59:51 GMT"
}
] | 2013-05-22T00:00:00 | [
[
"Jelassi",
"Mohamed Nader",
""
],
[
"Yahia",
"Sadok Ben",
""
],
[
"Nguifo",
"Engelbert Mephu",
""
]
] | TITLE: Nouvelle approche de recommandation personnalisee dans les folksonomies
basee sur le profil des utilisateurs
ABSTRACT: In folksonomies, users use to share objects (movies, books, bookmarks, etc.)
by annotating them with a set of tags of their own choice. With the rise of the
Web 2.0 age, users become the c... |
1208.0787 | Shang Shang | Shang Shang, Sanjeev R. Kulkarni, Paul W. Cuff and Pan Hui | A Random Walk Based Model Incorporating Social Information for
Recommendations | 2012 IEEE Machine Learning for Signal Processing Workshop (MLSP), 6
pages | null | null | null | cs.IR cs.LG | http://creativecommons.org/licenses/by-nc-sa/3.0/ | Collaborative filtering (CF) is one of the most popular approaches to build a
recommendation system. In this paper, we propose a hybrid collaborative
filtering model based on a Makovian random walk to address the data sparsity
and cold start problems in recommendation systems. More precisely, we construct
a directed ... | [
{
"version": "v1",
"created": "Fri, 3 Aug 2012 16:15:10 GMT"
},
{
"version": "v2",
"created": "Fri, 17 May 2013 21:57:26 GMT"
}
] | 2013-05-21T00:00:00 | [
[
"Shang",
"Shang",
""
],
[
"Kulkarni",
"Sanjeev R.",
""
],
[
"Cuff",
"Paul W.",
""
],
[
"Hui",
"Pan",
""
]
] | TITLE: A Random Walk Based Model Incorporating Social Information for
Recommendations
ABSTRACT: Collaborative filtering (CF) is one of the most popular approaches to build a
recommendation system. In this paper, we propose a hybrid collaborative
filtering model based on a Makovian random walk to address the data ... |
1211.7312 | Francis Casson | F. J. Casson, R. M. McDermott, C. Angioni, Y. Camenen, R. Dux, E.
Fable, R. Fischer, B. Geiger, P. Manas, L. Menchero, G. Tardini, and ASDEX
Upgrade team | Validation of gyrokinetic modelling of light impurity transport
including rotation in ASDEX Upgrade | 19 pages, 11 figures, accepted in Nuclear Fusion | Nucl. Fusion 53 063026 (2013) | 10.1088/0029-5515/53/6/063026 | null | physics.plasm-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Upgraded spectroscopic hardware and an improved impurity concentration
calculation allow accurate determination of boron density in the ASDEX Upgrade
tokamak. A database of boron measurements is compared to quasilinear and
nonlinear gyrokinetic simulations including Coriolis and centrifugal rotational
effects over a ... | [
{
"version": "v1",
"created": "Fri, 30 Nov 2012 17:01:21 GMT"
},
{
"version": "v2",
"created": "Fri, 19 Apr 2013 12:53:48 GMT"
}
] | 2013-05-21T00:00:00 | [
[
"Casson",
"F. J.",
""
],
[
"McDermott",
"R. M.",
""
],
[
"Angioni",
"C.",
""
],
[
"Camenen",
"Y.",
""
],
[
"Dux",
"R.",
""
],
[
"Fable",
"E.",
""
],
[
"Fischer",
"R.",
""
],
[
"Geiger",
"B.",
... | TITLE: Validation of gyrokinetic modelling of light impurity transport
including rotation in ASDEX Upgrade
ABSTRACT: Upgraded spectroscopic hardware and an improved impurity concentration
calculation allow accurate determination of boron density in the ASDEX Upgrade
tokamak. A database of boron measurements is co... |
1305.4345 | Alon Schclar | Alon Schclar and Lior Rokach and Amir Amit | Ensembles of Classifiers based on Dimensionality Reduction | 31 pages, 4 figures, 4 tables, Submitted to Pattern Analysis and
Applications | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a novel approach for the construction of ensemble classifiers
based on dimensionality reduction. Dimensionality reduction methods represent
datasets using a small number of attributes while preserving the information
conveyed by the original dataset. The ensemble members are trained based on
dimension-redu... | [
{
"version": "v1",
"created": "Sun, 19 May 2013 10:24:06 GMT"
}
] | 2013-05-21T00:00:00 | [
[
"Schclar",
"Alon",
""
],
[
"Rokach",
"Lior",
""
],
[
"Amit",
"Amir",
""
]
] | TITLE: Ensembles of Classifiers based on Dimensionality Reduction
ABSTRACT: We present a novel approach for the construction of ensemble classifiers
based on dimensionality reduction. Dimensionality reduction methods represent
datasets using a small number of attributes while preserving the information
conveyed by ... |
1305.4429 | Youfang Lin | Youfang Lin, Xuguang Jia, Mingjie Lin, Steve Gregory, Huaiyu Wan,
Zhihao Wu | Inferring High Quality Co-Travel Networks | 20 pages, 23 figures | null | null | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Social networks provide a new perspective for enterprises to better
understand their customers and have attracted substantial attention in
industry. However, inferring high quality customer social networks is a great
challenge while there are no explicit customer relations in many traditional
OLTP environments. In th... | [
{
"version": "v1",
"created": "Mon, 20 May 2013 03:04:23 GMT"
}
] | 2013-05-21T00:00:00 | [
[
"Lin",
"Youfang",
""
],
[
"Jia",
"Xuguang",
""
],
[
"Lin",
"Mingjie",
""
],
[
"Gregory",
"Steve",
""
],
[
"Wan",
"Huaiyu",
""
],
[
"Wu",
"Zhihao",
""
]
] | TITLE: Inferring High Quality Co-Travel Networks
ABSTRACT: Social networks provide a new perspective for enterprises to better
understand their customers and have attracted substantial attention in
industry. However, inferring high quality customer social networks is a great
challenge while there are no explicit cu... |
1305.4455 | Mark Wilkinson | Ben P Vandervalk, E Luke McCarthy, Mark D Wilkinson | SHARE: A Web Service Based Framework for Distributed Querying and
Reasoning on the Semantic Web | Third Asian Semantic Web Conference, ASWC2008 Bangkok, Thailand
December 2008, Workshops Proceedings (NEFORS2008), pp69-78 | null | null | null | cs.DL cs.AI cs.SE | http://creativecommons.org/licenses/by/3.0/ | Here we describe the SHARE system, a web service based framework for
distributed querying and reasoning on the semantic web. The main innovations of
SHARE are: (1) the extension of a SPARQL query engine to perform on-demand data
retrieval from web services, and (2) the extension of an OWL reasoner to test
property re... | [
{
"version": "v1",
"created": "Mon, 20 May 2013 07:54:09 GMT"
}
] | 2013-05-21T00:00:00 | [
[
"Vandervalk",
"Ben P",
""
],
[
"McCarthy",
"E Luke",
""
],
[
"Wilkinson",
"Mark D",
""
]
] | TITLE: SHARE: A Web Service Based Framework for Distributed Querying and
Reasoning on the Semantic Web
ABSTRACT: Here we describe the SHARE system, a web service based framework for
distributed querying and reasoning on the semantic web. The main innovations of
SHARE are: (1) the extension of a SPARQL query engin... |
1305.3616 | Manuel Gomez Rodriguez | Manuel Gomez Rodriguez, Jure Leskovec, Bernhard Schoelkopf | Modeling Information Propagation with Survival Theory | To appear at ICML '13 | null | null | null | cs.SI cs.DS physics.soc-ph stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Networks provide a skeleton for the spread of contagions, like, information,
ideas, behaviors and diseases. Many times networks over which contagions
diffuse are unobserved and need to be inferred. Here we apply survival theory
to develop general additive and multiplicative risk models under which the
network inferen... | [
{
"version": "v1",
"created": "Wed, 15 May 2013 20:01:06 GMT"
}
] | 2013-05-17T00:00:00 | [
[
"Rodriguez",
"Manuel Gomez",
""
],
[
"Leskovec",
"Jure",
""
],
[
"Schoelkopf",
"Bernhard",
""
]
] | TITLE: Modeling Information Propagation with Survival Theory
ABSTRACT: Networks provide a skeleton for the spread of contagions, like, information,
ideas, behaviors and diseases. Many times networks over which contagions
diffuse are unobserved and need to be inferred. Here we apply survival theory
to develop genera... |
1305.3384 | Lior Rokach | Naseem Biadsy, Lior Rokach, Armin Shmilovici | Transfer Learning for Content-Based Recommender Systems using Tree
Matching | null | null | null | null | cs.LG cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we present a new approach to content-based transfer learning
for solving the data sparsity problem in cases when the users' preferences in
the target domain are either scarce or unavailable, but the necessary
information on the preferences exists in another domain. We show that training
a system to use ... | [
{
"version": "v1",
"created": "Wed, 15 May 2013 08:00:54 GMT"
}
] | 2013-05-16T00:00:00 | [
[
"Biadsy",
"Naseem",
""
],
[
"Rokach",
"Lior",
""
],
[
"Shmilovici",
"Armin",
""
]
] | TITLE: Transfer Learning for Content-Based Recommender Systems using Tree
Matching
ABSTRACT: In this paper we present a new approach to content-based transfer learning
for solving the data sparsity problem in cases when the users' preferences in
the target domain are either scarce or unavailable, but the necessar... |
1302.4922 | David Duvenaud | David Duvenaud, James Robert Lloyd, Roger Grosse, Joshua B. Tenenbaum,
Zoubin Ghahramani | Structure Discovery in Nonparametric Regression through Compositional
Kernel Search | 9 pages, 7 figures, To appear in proceedings of the 2013
International Conference on Machine Learning | null | null | null | stat.ML cs.LG stat.ME | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Despite its importance, choosing the structural form of the kernel in
nonparametric regression remains a black art. We define a space of kernel
structures which are built compositionally by adding and multiplying a small
number of base kernels. We present a method for searching over this space of
structures which mir... | [
{
"version": "v1",
"created": "Wed, 20 Feb 2013 14:53:13 GMT"
},
{
"version": "v2",
"created": "Tue, 5 Mar 2013 11:48:12 GMT"
},
{
"version": "v3",
"created": "Fri, 5 Apr 2013 16:53:30 GMT"
},
{
"version": "v4",
"created": "Mon, 13 May 2013 13:10:31 GMT"
}
] | 2013-05-15T00:00:00 | [
[
"Duvenaud",
"David",
""
],
[
"Lloyd",
"James Robert",
""
],
[
"Grosse",
"Roger",
""
],
[
"Tenenbaum",
"Joshua B.",
""
],
[
"Ghahramani",
"Zoubin",
""
]
] | TITLE: Structure Discovery in Nonparametric Regression through Compositional
Kernel Search
ABSTRACT: Despite its importance, choosing the structural form of the kernel in
nonparametric regression remains a black art. We define a space of kernel
structures which are built compositionally by adding and multiplying ... |
1305.0540 | Shang Shang | Shang Shang and Yuk Hui and Pan Hui and Paul Cuff and Sanjeev Kulkarni | Privacy Preserving Recommendation System Based on Groups | null | null | null | null | cs.IR | http://creativecommons.org/licenses/by/3.0/ | Recommendation systems have received considerable attention in the recent
decades. Yet with the development of information technology and social media,
the risk in revealing private data to service providers has been a growing
concern to more and more users. Trade-offs between quality and privacy in
recommendation sy... | [
{
"version": "v1",
"created": "Thu, 2 May 2013 19:17:08 GMT"
},
{
"version": "v2",
"created": "Mon, 13 May 2013 19:50:41 GMT"
}
] | 2013-05-14T00:00:00 | [
[
"Shang",
"Shang",
""
],
[
"Hui",
"Yuk",
""
],
[
"Hui",
"Pan",
""
],
[
"Cuff",
"Paul",
""
],
[
"Kulkarni",
"Sanjeev",
""
]
] | TITLE: Privacy Preserving Recommendation System Based on Groups
ABSTRACT: Recommendation systems have received considerable attention in the recent
decades. Yet with the development of information technology and social media,
the risk in revealing private data to service providers has been a growing
concern to more... |
1305.2788 | Fabian Pedregosa | Fabian Pedregosa (INRIA Paris - Rocquencourt, INRIA Saclay - Ile de
France), Michael Eickenberg (INRIA Saclay - Ile de France, LNAO), Bertrand
Thirion (INRIA Saclay - Ile de France, LNAO), Alexandre Gramfort (LTCI) | HRF estimation improves sensitivity of fMRI encoding and decoding models | 3nd International Workshop on Pattern Recognition in NeuroImaging
(2013) | null | null | null | cs.LG stat.AP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Extracting activation patterns from functional Magnetic Resonance Images
(fMRI) datasets remains challenging in rapid-event designs due to the inherent
delay of blood oxygen level-dependent (BOLD) signal. The general linear model
(GLM) allows to estimate the activation from a design matrix and a fixed
hemodynamic res... | [
{
"version": "v1",
"created": "Mon, 13 May 2013 14:19:24 GMT"
}
] | 2013-05-14T00:00:00 | [
[
"Pedregosa",
"Fabian",
"",
"INRIA Paris - Rocquencourt, INRIA Saclay - Ile de\n France"
],
[
"Eickenberg",
"Michael",
"",
"INRIA Saclay - Ile de France, LNAO"
],
[
"Thirion",
"Bertrand",
"",
"INRIA Saclay - Ile de France, LNAO"
],
[
"Gramfort",
... | TITLE: HRF estimation improves sensitivity of fMRI encoding and decoding models
ABSTRACT: Extracting activation patterns from functional Magnetic Resonance Images
(fMRI) datasets remains challenging in rapid-event designs due to the inherent
delay of blood oxygen level-dependent (BOLD) signal. The general linear mo... |
1305.2835 | Kostas Tsichlas | Andreas Kosmatopoulos and Kostas Tsichlas | Dynamic Top-$k$ Dominating Queries | null | null | null | null | cs.CG cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Let $\mathcal{S}$ be a dataset of $n$ 2-dimensional points. The top-$k$
dominating query aims to report the $k$ points that dominate the most points in
$\mathcal{S}$. A point $p$ dominates a point $q$ iff all coordinates of $p$ are
smaller than or equal to those of $q$ and at least one of them is strictly
smaller. Th... | [
{
"version": "v1",
"created": "Mon, 13 May 2013 16:30:11 GMT"
}
] | 2013-05-14T00:00:00 | [
[
"Kosmatopoulos",
"Andreas",
""
],
[
"Tsichlas",
"Kostas",
""
]
] | TITLE: Dynamic Top-$k$ Dominating Queries
ABSTRACT: Let $\mathcal{S}$ be a dataset of $n$ 2-dimensional points. The top-$k$
dominating query aims to report the $k$ points that dominate the most points in
$\mathcal{S}$. A point $p$ dominates a point $q$ iff all coordinates of $p$ are
smaller than or equal to those o... |
1304.4682 | Yuan Li | Yuan Li, Haoyu Gao, Mingmin Yang, Wanqiu Guan, Haixin Ma, Weining
Qian, Zhigang Cao, Xiaoguang Yang | What are Chinese Talking about in Hot Weibos? | null | null | null | null | cs.SI cs.CY physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | SinaWeibo is a Twitter-like social network service emerging in China in
recent years. People can post weibos (microblogs) and communicate with others
on it. Based on a dataset of 650 million weibos from August 2009 to January
2012 crawled from APIs of SinaWeibo, we study the hot ones that have been
reposted for at le... | [
{
"version": "v1",
"created": "Wed, 17 Apr 2013 04:25:33 GMT"
},
{
"version": "v2",
"created": "Fri, 10 May 2013 09:52:35 GMT"
}
] | 2013-05-13T00:00:00 | [
[
"Li",
"Yuan",
""
],
[
"Gao",
"Haoyu",
""
],
[
"Yang",
"Mingmin",
""
],
[
"Guan",
"Wanqiu",
""
],
[
"Ma",
"Haixin",
""
],
[
"Qian",
"Weining",
""
],
[
"Cao",
"Zhigang",
""
],
[
"Yang",
"Xiaoguang... | TITLE: What are Chinese Talking about in Hot Weibos?
ABSTRACT: SinaWeibo is a Twitter-like social network service emerging in China in
recent years. People can post weibos (microblogs) and communicate with others
on it. Based on a dataset of 650 million weibos from August 2009 to January
2012 crawled from APIs of S... |
1305.1956 | Andrew Lan | Andrew S. Lan, Christoph Studer, Andrew E. Waters and Richard G.
Baraniuk | Joint Topic Modeling and Factor Analysis of Textual Information and
Graded Response Data | null | null | null | null | stat.ML cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modern machine learning methods are critical to the development of
large-scale personalized learning systems that cater directly to the needs of
individual learners. The recently developed SPARse Factor Analysis (SPARFA)
framework provides a new statistical model and algorithms for machine
learning-based learning ana... | [
{
"version": "v1",
"created": "Wed, 8 May 2013 20:44:55 GMT"
},
{
"version": "v2",
"created": "Fri, 10 May 2013 01:05:09 GMT"
}
] | 2013-05-13T00:00:00 | [
[
"Lan",
"Andrew S.",
""
],
[
"Studer",
"Christoph",
""
],
[
"Waters",
"Andrew E.",
""
],
[
"Baraniuk",
"Richard G.",
""
]
] | TITLE: Joint Topic Modeling and Factor Analysis of Textual Information and
Graded Response Data
ABSTRACT: Modern machine learning methods are critical to the development of
large-scale personalized learning systems that cater directly to the needs of
individual learners. The recently developed SPARse Factor Analy... |
1305.2269 | Fang Wang | Fang Wang and Yi Li | Beyond Physical Connections: Tree Models in Human Pose Estimation | CVPR 2013 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Simple tree models for articulated objects prevails in the last decade.
However, it is also believed that these simple tree models are not capable of
capturing large variations in many scenarios, such as human pose estimation.
This paper attempts to address three questions: 1) are simple tree models
sufficient? more ... | [
{
"version": "v1",
"created": "Fri, 10 May 2013 07:09:14 GMT"
}
] | 2013-05-13T00:00:00 | [
[
"Wang",
"Fang",
""
],
[
"Li",
"Yi",
""
]
] | TITLE: Beyond Physical Connections: Tree Models in Human Pose Estimation
ABSTRACT: Simple tree models for articulated objects prevails in the last decade.
However, it is also believed that these simple tree models are not capable of
capturing large variations in many scenarios, such as human pose estimation.
This p... |
1305.2388 | Ehsan Saboori Mr. | Shafigh Parsazad, Ehsan Saboori, Amin Allahyar | Fast Feature Reduction in intrusion detection datasets | null | Parsazad, Shafigh; Saboori, Ehsan; Allahyar, Amin; , "Fast Feature
Reduction in intrusion detection datasets," MIPRO, 2012 Proceedings of the
35th International Convention , vol., no., pp.1023-1029, 21-25 May 2012 | null | null | cs.CR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the most intrusion detection systems (IDS), a system tries to learn
characteristics of different type of attacks by analyzing packets that sent or
received in network. These packets have a lot of features. But not all of them
is required to be analyzed to detect that specific type of attack. Detection
speed and co... | [
{
"version": "v1",
"created": "Mon, 1 Apr 2013 05:27:47 GMT"
}
] | 2013-05-13T00:00:00 | [
[
"Parsazad",
"Shafigh",
""
],
[
"Saboori",
"Ehsan",
""
],
[
"Allahyar",
"Amin",
""
]
] | TITLE: Fast Feature Reduction in intrusion detection datasets
ABSTRACT: In the most intrusion detection systems (IDS), a system tries to learn
characteristics of different type of attacks by analyzing packets that sent or
received in network. These packets have a lot of features. But not all of them
is required to ... |
1305.1946 | Luca Mazzola | Elena Camossi, Paola Villa, Luca Mazzola | Semantic-based Anomalous Pattern Discovery in Moving Object Trajectories | null | null | null | null | cs.AI cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we investigate a novel semantic approach for pattern discovery
in trajectories that, relying on ontologies, enhances object movement
information with event semantics. The approach can be applied to the detection
of movement patterns and behaviors whenever the semantics of events occurring
along the traj... | [
{
"version": "v1",
"created": "Wed, 8 May 2013 20:14:03 GMT"
}
] | 2013-05-10T00:00:00 | [
[
"Camossi",
"Elena",
""
],
[
"Villa",
"Paola",
""
],
[
"Mazzola",
"Luca",
""
]
] | TITLE: Semantic-based Anomalous Pattern Discovery in Moving Object Trajectories
ABSTRACT: In this work, we investigate a novel semantic approach for pattern discovery
in trajectories that, relying on ontologies, enhances object movement
information with event semantics. The approach can be applied to the detection
... |
1305.1657 | Emanuele Goldoni | Alberto Savioli, Emanuele Goldoni, Pietro Savazzi, Paolo Gamba | Low Complexity Indoor Localization in Wireless Sensor Networks by UWB
and Inertial Data Fusion | null | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Precise indoor localization of moving targets is a challenging activity which
cannot be easily accomplished without combining different sources of
information. In this sense, the combination of different data sources with an
appropriate filter might improve both positioning and tracking performance.
This work propose... | [
{
"version": "v1",
"created": "Tue, 7 May 2013 21:43:07 GMT"
}
] | 2013-05-09T00:00:00 | [
[
"Savioli",
"Alberto",
""
],
[
"Goldoni",
"Emanuele",
""
],
[
"Savazzi",
"Pietro",
""
],
[
"Gamba",
"Paolo",
""
]
] | TITLE: Low Complexity Indoor Localization in Wireless Sensor Networks by UWB
and Inertial Data Fusion
ABSTRACT: Precise indoor localization of moving targets is a challenging activity which
cannot be easily accomplished without combining different sources of
information. In this sense, the combination of differen... |
1305.1372 | Fan Min | Fan Min and William Zhu | Cold-start recommendation through granular association rules | Submitted to Joint Rough Sets 2013 | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recommender systems are popular in e-commerce as they suggest items of
interest to users. Researchers have addressed the cold-start problem where
either the user or the item is new. However, the situation with both new user
and new item has seldom been considered. In this paper, we propose a cold-start
recommendation... | [
{
"version": "v1",
"created": "Tue, 7 May 2013 01:08:27 GMT"
}
] | 2013-05-08T00:00:00 | [
[
"Min",
"Fan",
""
],
[
"Zhu",
"William",
""
]
] | TITLE: Cold-start recommendation through granular association rules
ABSTRACT: Recommender systems are popular in e-commerce as they suggest items of
interest to users. Researchers have addressed the cold-start problem where
either the user or the item is new. However, the situation with both new user
and new item h... |
1210.1207 | Hema Swetha Koppula | Hema Swetha Koppula, Rudhir Gupta, Ashutosh Saxena | Learning Human Activities and Object Affordances from RGB-D Videos | arXiv admin note: substantial text overlap with arXiv:1208.0967 | null | null | null | cs.RO cs.AI cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Understanding human activities and object affordances are two very important
skills, especially for personal robots which operate in human environments. In
this work, we consider the problem of extracting a descriptive labeling of the
sequence of sub-activities being performed by a human, and more importantly, of
the... | [
{
"version": "v1",
"created": "Thu, 4 Oct 2012 04:53:42 GMT"
},
{
"version": "v2",
"created": "Mon, 6 May 2013 01:13:39 GMT"
}
] | 2013-05-07T00:00:00 | [
[
"Koppula",
"Hema Swetha",
""
],
[
"Gupta",
"Rudhir",
""
],
[
"Saxena",
"Ashutosh",
""
]
] | TITLE: Learning Human Activities and Object Affordances from RGB-D Videos
ABSTRACT: Understanding human activities and object affordances are two very important
skills, especially for personal robots which operate in human environments. In
this work, we consider the problem of extracting a descriptive labeling of t... |
1212.2278 | Carl Vondrick | Carl Vondrick and Aditya Khosla and Tomasz Malisiewicz and Antonio
Torralba | Inverting and Visualizing Features for Object Detection | This paper is a preprint of our conference paper. We have made it
available early in the hopes that others find it useful | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce algorithms to visualize feature spaces used by object detectors.
The tools in this paper allow a human to put on `HOG goggles' and perceive the
visual world as a HOG based object detector sees it. We found that these
visualizations allow us to analyze object detection systems in new ways and
gain new ins... | [
{
"version": "v1",
"created": "Tue, 11 Dec 2012 01:59:51 GMT"
},
{
"version": "v2",
"created": "Sun, 5 May 2013 18:17:44 GMT"
}
] | 2013-05-07T00:00:00 | [
[
"Vondrick",
"Carl",
""
],
[
"Khosla",
"Aditya",
""
],
[
"Malisiewicz",
"Tomasz",
""
],
[
"Torralba",
"Antonio",
""
]
] | TITLE: Inverting and Visualizing Features for Object Detection
ABSTRACT: We introduce algorithms to visualize feature spaces used by object detectors.
The tools in this paper allow a human to put on `HOG goggles' and perceive the
visual world as a HOG based object detector sees it. We found that these
visualization... |
1305.1002 | Ji Won Yoon | Ji Won Yoon and Nial Friel | Efficient Estimation of the number of neighbours in Probabilistic K
Nearest Neighbour Classification | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Probabilistic k-nearest neighbour (PKNN) classification has been introduced
to improve the performance of original k-nearest neighbour (KNN) classification
algorithm by explicitly modelling uncertainty in the classification of each
feature vector. However, an issue common to both KNN and PKNN is to select the
optimal... | [
{
"version": "v1",
"created": "Sun, 5 May 2013 09:44:08 GMT"
}
] | 2013-05-07T00:00:00 | [
[
"Yoon",
"Ji Won",
""
],
[
"Friel",
"Nial",
""
]
] | TITLE: Efficient Estimation of the number of neighbours in Probabilistic K
Nearest Neighbour Classification
ABSTRACT: Probabilistic k-nearest neighbour (PKNN) classification has been introduced
to improve the performance of original k-nearest neighbour (KNN) classification
algorithm by explicitly modelling uncert... |
1305.1040 | Ting-Li Chen | Ting-Li Chen | On the Convergence and Consistency of the Blurring Mean-Shift Process | arXiv admin note: text overlap with arXiv:1201.1979 | null | null | null | stat.ML cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The mean-shift algorithm is a popular algorithm in computer vision and image
processing. It can also be cast as a minimum gamma-divergence estimation. In
this paper we focus on the "blurring" mean shift algorithm, which is one
version of the mean-shift process that successively blurs the dataset. The
analysis of the ... | [
{
"version": "v1",
"created": "Sun, 5 May 2013 18:51:24 GMT"
}
] | 2013-05-07T00:00:00 | [
[
"Chen",
"Ting-Li",
""
]
] | TITLE: On the Convergence and Consistency of the Blurring Mean-Shift Process
ABSTRACT: The mean-shift algorithm is a popular algorithm in computer vision and image
processing. It can also be cast as a minimum gamma-divergence estimation. In
this paper we focus on the "blurring" mean shift algorithm, which is one
ve... |
1210.0748 | Yongming Luo | Yongming Luo, George H. L. Fletcher, Jan Hidders, Yuqing Wu and Paul
De Bra | External memory bisimulation reduction of big graphs | 17 pages | null | null | null | cs.DB cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we present, to our knowledge, the first known I/O efficient
solutions for computing the k-bisimulation partition of a massive directed
graph, and performing maintenance of such a partition upon updates to the
underlying graph. Ubiquitous in the theory and application of graph data,
bisimulation is a ro... | [
{
"version": "v1",
"created": "Tue, 2 Oct 2012 12:30:15 GMT"
},
{
"version": "v2",
"created": "Mon, 5 Nov 2012 09:26:03 GMT"
},
{
"version": "v3",
"created": "Thu, 2 May 2013 08:23:28 GMT"
}
] | 2013-05-03T00:00:00 | [
[
"Luo",
"Yongming",
""
],
[
"Fletcher",
"George H. L.",
""
],
[
"Hidders",
"Jan",
""
],
[
"Wu",
"Yuqing",
""
],
[
"De Bra",
"Paul",
""
]
] | TITLE: External memory bisimulation reduction of big graphs
ABSTRACT: In this paper, we present, to our knowledge, the first known I/O efficient
solutions for computing the k-bisimulation partition of a massive directed
graph, and performing maintenance of such a partition upon updates to the
underlying graph. Ubiq... |
1305.0423 | Somayeh Danafar | Somayeh Danafar, Paola M.V. Rancoita, Tobias Glasmachers, Kevin
Whittingstall, Juergen Schmidhuber | Testing Hypotheses by Regularized Maximum Mean Discrepancy | null | null | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Do two data samples come from different distributions? Recent studies of this
fundamental problem focused on embedding probability distributions into
sufficiently rich characteristic Reproducing Kernel Hilbert Spaces (RKHSs), to
compare distributions by the distance between their embeddings. We show that
Regularized ... | [
{
"version": "v1",
"created": "Thu, 2 May 2013 13:03:53 GMT"
}
] | 2013-05-03T00:00:00 | [
[
"Danafar",
"Somayeh",
""
],
[
"Rancoita",
"Paola M. V.",
""
],
[
"Glasmachers",
"Tobias",
""
],
[
"Whittingstall",
"Kevin",
""
],
[
"Schmidhuber",
"Juergen",
""
]
] | TITLE: Testing Hypotheses by Regularized Maximum Mean Discrepancy
ABSTRACT: Do two data samples come from different distributions? Recent studies of this
fundamental problem focused on embedding probability distributions into
sufficiently rich characteristic Reproducing Kernel Hilbert Spaces (RKHSs), to
compare dis... |
1301.3641 | Ryan Kiros | Ryan Kiros | Training Neural Networks with Stochastic Hessian-Free Optimization | 11 pages, ICLR 2013 | null | null | null | cs.LG cs.NE stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Hessian-free (HF) optimization has been successfully used for training deep
autoencoders and recurrent networks. HF uses the conjugate gradient algorithm
to construct update directions through curvature-vector products that can be
computed on the same order of time as gradients. In this paper we exploit this
property... | [
{
"version": "v1",
"created": "Wed, 16 Jan 2013 10:10:23 GMT"
},
{
"version": "v2",
"created": "Mon, 18 Mar 2013 05:51:37 GMT"
},
{
"version": "v3",
"created": "Wed, 1 May 2013 06:57:50 GMT"
}
] | 2013-05-02T00:00:00 | [
[
"Kiros",
"Ryan",
""
]
] | TITLE: Training Neural Networks with Stochastic Hessian-Free Optimization
ABSTRACT: Hessian-free (HF) optimization has been successfully used for training deep
autoencoders and recurrent networks. HF uses the conjugate gradient algorithm
to construct update directions through curvature-vector products that can be
c... |
1304.2272 | Elmar Peise | Elmar Peise (1), Diego Fabregat (1), Yurii Aulchenko (2), Paolo
Bientinesi (1) ((1) AICES, RWTH Aachen, (2) Institute of Cytology and
Genetics, Novosibirsk) | Algorithms for Large-scale Whole Genome Association Analysis | null | null | null | AICES-2013/04-2 | cs.CE cs.MS q-bio.GN | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In order to associate complex traits with genetic polymorphisms, genome-wide
association studies process huge datasets involving tens of thousands of
individuals genotyped for millions of polymorphisms. When handling these
datasets, which exceed the main memory of contemporary computers, one faces two
distinct challe... | [
{
"version": "v1",
"created": "Mon, 8 Apr 2013 17:13:39 GMT"
}
] | 2013-05-02T00:00:00 | [
[
"Peise",
"Elmar",
""
],
[
"Fabregat",
"Diego",
""
],
[
"Aulchenko",
"Yurii",
""
],
[
"Bientinesi",
"Paolo",
""
]
] | TITLE: Algorithms for Large-scale Whole Genome Association Analysis
ABSTRACT: In order to associate complex traits with genetic polymorphisms, genome-wide
association studies process huge datasets involving tens of thousands of
individuals genotyped for millions of polymorphisms. When handling these
datasets, which... |
1305.0015 | Balaji Lakshminarayanan | Balaji Lakshminarayanan and Yee Whye Teh | Inferring ground truth from multi-annotator ordinal data: a
probabilistic approach | null | null | null | null | stat.ML cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A popular approach for large scale data annotation tasks is crowdsourcing,
wherein each data point is labeled by multiple noisy annotators. We consider
the problem of inferring ground truth from noisy ordinal labels obtained from
multiple annotators of varying and unknown expertise levels. Annotation models
for ordin... | [
{
"version": "v1",
"created": "Tue, 30 Apr 2013 20:12:01 GMT"
}
] | 2013-05-02T00:00:00 | [
[
"Lakshminarayanan",
"Balaji",
""
],
[
"Teh",
"Yee Whye",
""
]
] | TITLE: Inferring ground truth from multi-annotator ordinal data: a
probabilistic approach
ABSTRACT: A popular approach for large scale data annotation tasks is crowdsourcing,
wherein each data point is labeled by multiple noisy annotators. We consider
the problem of inferring ground truth from noisy ordinal label... |
1305.0103 | Marthinus Christoffel du Plessis Marthinus Christoffel du Plessi | Marthinus Christoffel du Plessis and Masashi Sugiyama | Clustering Unclustered Data: Unsupervised Binary Labeling of Two
Datasets Having Different Class Balances | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the unsupervised learning problem of assigning labels to
unlabeled data. A naive approach is to use clustering methods, but this works
well only when data is properly clustered and each cluster corresponds to an
underlying class. In this paper, we first show that this unsupervised labeling
problem in bala... | [
{
"version": "v1",
"created": "Wed, 1 May 2013 06:32:12 GMT"
}
] | 2013-05-02T00:00:00 | [
[
"Plessis",
"Marthinus Christoffel du",
""
],
[
"Sugiyama",
"Masashi",
""
]
] | TITLE: Clustering Unclustered Data: Unsupervised Binary Labeling of Two
Datasets Having Different Class Balances
ABSTRACT: We consider the unsupervised learning problem of assigning labels to
unlabeled data. A naive approach is to use clustering methods, but this works
well only when data is properly clustered an... |
1305.0159 | Anthony J Cox | Lilian Janin and Giovanna Rosone and Anthony J. Cox | Adaptive reference-free compression of sequence quality scores | Accepted paper for HiTSeq 2013, to appear in Bioinformatics.
Bioinformatics should be considered the original place of publication of this
work, please cite accordingly | null | null | null | q-bio.GN cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Motivation:
Rapid technological progress in DNA sequencing has stimulated interest in
compressing the vast datasets that are now routinely produced. Relatively
little attention has been paid to compressing the quality scores that are
assigned to each sequence, even though these scores may be harder to compress
than... | [
{
"version": "v1",
"created": "Wed, 1 May 2013 12:51:10 GMT"
}
] | 2013-05-02T00:00:00 | [
[
"Janin",
"Lilian",
""
],
[
"Rosone",
"Giovanna",
""
],
[
"Cox",
"Anthony J.",
""
]
] | TITLE: Adaptive reference-free compression of sequence quality scores
ABSTRACT: Motivation:
Rapid technological progress in DNA sequencing has stimulated interest in
compressing the vast datasets that are now routinely produced. Relatively
little attention has been paid to compressing the quality scores that are
... |
1305.0160 | Anthony J Cox | Markus J. Bauer and Anthony J. Cox and Giovanna Rosone and Marinella
Sciortino | Lightweight LCP Construction for Next-Generation Sequencing Datasets | Springer LNCS (Lecture Notes in Computer Science) should be
considered as the original place of publication, please cite accordingly. The
final version of this manuscript is available at
http://link.springer.com/chapter/10.1007/978-3-642-33122-0_26 | Lecture Notes in Computer Science Volume 7534, 2012, pp 326-337 | 10.1007/978-3-642-33122-0_26 | null | cs.DS q-bio.GN | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The advent of "next-generation" DNA sequencing (NGS) technologies has meant
that collections of hundreds of millions of DNA sequences are now commonplace
in bioinformatics. Knowing the longest common prefix array (LCP) of such a
collection would facilitate the rapid computation of maximal exact matches,
shortest uniq... | [
{
"version": "v1",
"created": "Wed, 1 May 2013 12:51:45 GMT"
}
] | 2013-05-02T00:00:00 | [
[
"Bauer",
"Markus J.",
""
],
[
"Cox",
"Anthony J.",
""
],
[
"Rosone",
"Giovanna",
""
],
[
"Sciortino",
"Marinella",
""
]
] | TITLE: Lightweight LCP Construction for Next-Generation Sequencing Datasets
ABSTRACT: The advent of "next-generation" DNA sequencing (NGS) technologies has meant
that collections of hundreds of millions of DNA sequences are now commonplace
in bioinformatics. Knowing the longest common prefix array (LCP) of such a
c... |
1211.2863 | Alon Schclar | Alon Schclar | Multi-Sensor Fusion via Reduction of Dimensionality | PhD Thesis, Tel Aviv Univ, 2008 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large high-dimensional datasets are becoming more and more popular in an
increasing number of research areas. Processing the high dimensional data
incurs a high computational cost and is inherently inefficient since many of
the values that describe a data object are redundant due to noise and inner
correlations. Cons... | [
{
"version": "v1",
"created": "Tue, 13 Nov 2012 01:05:42 GMT"
}
] | 2013-05-01T00:00:00 | [
[
"Schclar",
"Alon",
""
]
] | TITLE: Multi-Sensor Fusion via Reduction of Dimensionality
ABSTRACT: Large high-dimensional datasets are becoming more and more popular in an
increasing number of research areas. Processing the high dimensional data
incurs a high computational cost and is inherently inefficient since many of
the values that describ... |
0905.4614 | Alexander Artikis | A. Artikis, M. Sergot and G. Paliouras | A Logic Programming Approach to Activity Recognition | The original publication is available in the Proceedings of the 2nd
ACM international workshop on Events in multimedia, 2010 | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We have been developing a system for recognising human activity given a
symbolic representation of video content. The input of our system is a set of
time-stamped short-term activities detected on video frames. The output of our
system is a set of recognised long-term activities, which are pre-defined
temporal combin... | [
{
"version": "v1",
"created": "Thu, 28 May 2009 11:44:04 GMT"
},
{
"version": "v2",
"created": "Mon, 29 Apr 2013 17:06:25 GMT"
}
] | 2013-04-30T00:00:00 | [
[
"Artikis",
"A.",
""
],
[
"Sergot",
"M.",
""
],
[
"Paliouras",
"G.",
""
]
] | TITLE: A Logic Programming Approach to Activity Recognition
ABSTRACT: We have been developing a system for recognising human activity given a
symbolic representation of video content. The input of our system is a set of
time-stamped short-term activities detected on video frames. The output of our
system is a set o... |
1304.7632 | Rastislav \v{S}r\'amek | Barbara Geissmann and Rastislav \v{S}r\'amek | Counting small cuts in a graph | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the minimum cut problem in the presence of uncertainty and show how
to apply a novel robust optimization approach, which aims to exploit the
similarity in subsequent graph measurements or similar graph instances, without
posing any assumptions on the way they have been obtained. With experiments we
show that... | [
{
"version": "v1",
"created": "Mon, 29 Apr 2013 12:08:32 GMT"
}
] | 2013-04-30T00:00:00 | [
[
"Geissmann",
"Barbara",
""
],
[
"Šrámek",
"Rastislav",
""
]
] | TITLE: Counting small cuts in a graph
ABSTRACT: We study the minimum cut problem in the presence of uncertainty and show how
to apply a novel robust optimization approach, which aims to exploit the
similarity in subsequent graph measurements or similar graph instances, without
posing any assumptions on the way they... |
1304.6933 | Manuel Keglevic | Manuel Keglevic and Robert Sablatnig | Digit Recognition in Handwritten Weather Records | Part of the OAGM/AAPR 2013 proceedings (arXiv:1304.1876), 8 pages | null | null | OAGM-AAPR/2013/07 | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper addresses the automatic recognition of handwritten temperature
values in weather records. The localization of table cells is based on line
detection using projection profiles. Further, a stroke-preserving line removal
method which is based on gradient images is proposed. The presented digit
recognition uti... | [
{
"version": "v1",
"created": "Thu, 25 Apr 2013 15:14:42 GMT"
},
{
"version": "v2",
"created": "Fri, 26 Apr 2013 08:35:18 GMT"
}
] | 2013-04-29T00:00:00 | [
[
"Keglevic",
"Manuel",
""
],
[
"Sablatnig",
"Robert",
""
]
] | TITLE: Digit Recognition in Handwritten Weather Records
ABSTRACT: This paper addresses the automatic recognition of handwritten temperature
values in weather records. The localization of table cells is based on line
detection using projection profiles. Further, a stroke-preserving line removal
method which is based... |
1304.7140 | Michael Helmberger Michael Helmberger | M. Helmberger, M. Urschler, M. Pienn, Z.Balint, A. Olschewski and H.
Bischof | Pulmonary Vascular Tree Segmentation from Contrast-Enhanced CT Images | Part of the OAGM/AAPR 2013 proceedings (1304.1876) | null | null | OAGM-AAPR/2013/09 | cs.CV physics.med-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a pulmonary vessel segmentation algorithm, which is fast, fully
automatic and robust. It uses a coarse segmentation of the airway tree and a
left and right lung labeled volume to restrict a vessel enhancement filter,
based on an offset medialness function, to the lungs. We show the application
of our algor... | [
{
"version": "v1",
"created": "Fri, 26 Apr 2013 12:30:36 GMT"
}
] | 2013-04-29T00:00:00 | [
[
"Helmberger",
"M.",
""
],
[
"Urschler",
"M.",
""
],
[
"Pienn",
"M.",
""
],
[
"Balint",
"Z.",
""
],
[
"Olschewski",
"A.",
""
],
[
"Bischof",
"H.",
""
]
] | TITLE: Pulmonary Vascular Tree Segmentation from Contrast-Enhanced CT Images
ABSTRACT: We present a pulmonary vessel segmentation algorithm, which is fast, fully
automatic and robust. It uses a coarse segmentation of the airway tree and a
left and right lung labeled volume to restrict a vessel enhancement filter,
b... |
1304.7236 | Alessandro Perina | Alessandro Perina, Nebojsa Jojic | In the sight of my wearable camera: Classifying my visual experience | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce and we analyze a new dataset which resembles the input to
biological vision systems much more than most previously published ones. Our
analysis leaded to several important conclusions. First, it is possible to
disambiguate over dozens of visual scenes (locations) encountered over the
course of several we... | [
{
"version": "v1",
"created": "Fri, 26 Apr 2013 17:28:13 GMT"
}
] | 2013-04-29T00:00:00 | [
[
"Perina",
"Alessandro",
""
],
[
"Jojic",
"Nebojsa",
""
]
] | TITLE: In the sight of my wearable camera: Classifying my visual experience
ABSTRACT: We introduce and we analyze a new dataset which resembles the input to
biological vision systems much more than most previously published ones. Our
analysis leaded to several important conclusions. First, it is possible to
disambi... |
1304.6480 | Liwei Wang | Yining Wang, Liwei Wang, Yuanzhi Li, Di He, Tie-Yan Liu, Wei Chen | A Theoretical Analysis of NDCG Type Ranking Measures | COLT 2013 | null | null | null | cs.LG cs.IR stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A central problem in ranking is to design a ranking measure for evaluation of
ranking functions. In this paper we study, from a theoretical perspective, the
widely used Normalized Discounted Cumulative Gain (NDCG)-type ranking measures.
Although there are extensive empirical studies of NDCG, little is known about
its... | [
{
"version": "v1",
"created": "Wed, 24 Apr 2013 04:08:23 GMT"
}
] | 2013-04-25T00:00:00 | [
[
"Wang",
"Yining",
""
],
[
"Wang",
"Liwei",
""
],
[
"Li",
"Yuanzhi",
""
],
[
"He",
"Di",
""
],
[
"Liu",
"Tie-Yan",
""
],
[
"Chen",
"Wei",
""
]
] | TITLE: A Theoretical Analysis of NDCG Type Ranking Measures
ABSTRACT: A central problem in ranking is to design a ranking measure for evaluation of
ranking functions. In this paper we study, from a theoretical perspective, the
widely used Normalized Discounted Cumulative Gain (NDCG)-type ranking measures.
Although ... |
1304.5894 | Bruno Cornelis | Bruno Cornelis, Yun Yang, Joshua T. Vogelstein, Ann Dooms, Ingrid
Daubechies, David Dunson | Bayesian crack detection in ultra high resolution multimodal images of
paintings | 8 pages, double column | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The preservation of our cultural heritage is of paramount importance. Thanks
to recent developments in digital acquisition techniques, powerful image
analysis algorithms are developed which can be useful non-invasive tools to
assist in the restoration and preservation of art. In this paper we propose a
semi-supervise... | [
{
"version": "v1",
"created": "Mon, 22 Apr 2013 09:46:47 GMT"
},
{
"version": "v2",
"created": "Tue, 23 Apr 2013 09:00:01 GMT"
}
] | 2013-04-24T00:00:00 | [
[
"Cornelis",
"Bruno",
""
],
[
"Yang",
"Yun",
""
],
[
"Vogelstein",
"Joshua T.",
""
],
[
"Dooms",
"Ann",
""
],
[
"Daubechies",
"Ingrid",
""
],
[
"Dunson",
"David",
""
]
] | TITLE: Bayesian crack detection in ultra high resolution multimodal images of
paintings
ABSTRACT: The preservation of our cultural heritage is of paramount importance. Thanks
to recent developments in digital acquisition techniques, powerful image
analysis algorithms are developed which can be useful non-invasive... |
1304.6291 | Fang Wang | Fang Wang and Yi Li | Learning Visual Symbols for Parsing Human Poses in Images | IJCAI 2013 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Parsing human poses in images is fundamental in extracting critical visual
information for artificial intelligent agents. Our goal is to learn
self-contained body part representations from images, which we call visual
symbols, and their symbol-wise geometric contexts in this parsing process. Each
symbol is individual... | [
{
"version": "v1",
"created": "Tue, 23 Apr 2013 14:07:19 GMT"
}
] | 2013-04-24T00:00:00 | [
[
"Wang",
"Fang",
""
],
[
"Li",
"Yi",
""
]
] | TITLE: Learning Visual Symbols for Parsing Human Poses in Images
ABSTRACT: Parsing human poses in images is fundamental in extracting critical visual
information for artificial intelligent agents. Our goal is to learn
self-contained body part representations from images, which we call visual
symbols, and their symb... |
1212.5238 | Andrea Baronchelli | Delia Mocanu, Andrea Baronchelli, Bruno Gon\c{c}alves, Nicola Perra,
Alessandro Vespignani | The Twitter of Babel: Mapping World Languages through Microblogging
Platforms | null | PLoS One 8, E61981 (2013) | 10.1371/journal.pone.0061981 | null | physics.soc-ph cs.CL cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large scale analysis and statistics of socio-technical systems that just a
few short years ago would have required the use of consistent economic and
human resources can nowadays be conveniently performed by mining the enormous
amount of digital data produced by human activities. Although a
characterization of severa... | [
{
"version": "v1",
"created": "Thu, 20 Dec 2012 20:43:12 GMT"
}
] | 2013-04-23T00:00:00 | [
[
"Mocanu",
"Delia",
""
],
[
"Baronchelli",
"Andrea",
""
],
[
"Gonçalves",
"Bruno",
""
],
[
"Perra",
"Nicola",
""
],
[
"Vespignani",
"Alessandro",
""
]
] | TITLE: The Twitter of Babel: Mapping World Languages through Microblogging
Platforms
ABSTRACT: Large scale analysis and statistics of socio-technical systems that just a
few short years ago would have required the use of consistent economic and
human resources can nowadays be conveniently performed by mining the ... |
1301.5177 | Andrea Scharnhorst | Linda Reijnhoudt, Rodrigo Costas, Ed Noyons, Katy Boerner, Andrea
Scharnhorst | "Seed+Expand": A validated methodology for creating high quality
publication oeuvres of individual researchers | Paper accepted for the ISSI 2013, small changes in the text due to
referee comments, one figure added (Fig 3) | null | null | null | cs.DL cs.IR | http://creativecommons.org/licenses/by/3.0/ | The study of science at the individual micro-level frequently requires the
disambiguation of author names. The creation of author's publication oeuvres
involves matching the list of unique author names to names used in publication
databases. Despite recent progress in the development of unique author
identifiers, e.g... | [
{
"version": "v1",
"created": "Tue, 22 Jan 2013 13:16:15 GMT"
},
{
"version": "v2",
"created": "Mon, 22 Apr 2013 11:01:55 GMT"
}
] | 2013-04-23T00:00:00 | [
[
"Reijnhoudt",
"Linda",
""
],
[
"Costas",
"Rodrigo",
""
],
[
"Noyons",
"Ed",
""
],
[
"Boerner",
"Katy",
""
],
[
"Scharnhorst",
"Andrea",
""
]
] | TITLE: "Seed+Expand": A validated methodology for creating high quality
publication oeuvres of individual researchers
ABSTRACT: The study of science at the individual micro-level frequently requires the
disambiguation of author names. The creation of author's publication oeuvres
involves matching the list of uniq... |
1304.5755 | Puneet Kishor | Puneet Kishor, Oshani Seneviratne, and Noah Giansiracusa | Policy Aware Geospatial Data | 5 pages. Accepted for ACMGIS 2009, but withdrawn because ACM would
not include this paper unless I presented in person (prior commitments
prevented me from travel even though I had registered) | null | null | null | cs.OH | http://creativecommons.org/licenses/publicdomain/ | Digital Rights Management (DRM) prevents end-users from using content in a
manner inconsistent with its creator's wishes. The license describing these
use-conditions typically accompanies the content as its metadata. A resulting
problem is that the license and the content can get separated and lose track of
each othe... | [
{
"version": "v1",
"created": "Sun, 21 Apr 2013 15:50:46 GMT"
}
] | 2013-04-23T00:00:00 | [
[
"Kishor",
"Puneet",
""
],
[
"Seneviratne",
"Oshani",
""
],
[
"Giansiracusa",
"Noah",
""
]
] | TITLE: Policy Aware Geospatial Data
ABSTRACT: Digital Rights Management (DRM) prevents end-users from using content in a
manner inconsistent with its creator's wishes. The license describing these
use-conditions typically accompanies the content as its metadata. A resulting
problem is that the license and the conte... |
1304.4371 | Joel Lang | Joel Lang and James Henderson | Efficient Computation of Mean Truncated Hitting Times on Very Large
Graphs | null | null | null | null | cs.DS cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Previous work has shown the effectiveness of random walk hitting times as a
measure of dissimilarity in a variety of graph-based learning problems such as
collaborative filtering, query suggestion or finding paraphrases. However,
application of hitting times has been limited to small datasets because of
computational... | [
{
"version": "v1",
"created": "Tue, 16 Apr 2013 09:11:16 GMT"
}
] | 2013-04-17T00:00:00 | [
[
"Lang",
"Joel",
""
],
[
"Henderson",
"James",
""
]
] | TITLE: Efficient Computation of Mean Truncated Hitting Times on Very Large
Graphs
ABSTRACT: Previous work has shown the effectiveness of random walk hitting times as a
measure of dissimilarity in a variety of graph-based learning problems such as
collaborative filtering, query suggestion or finding paraphrases. H... |
1304.3745 | Khadoudja Ghanem | Khadoudja Ghanem | Towards more accurate clustering method by using dynamic time warping | 12 pages, 1 figure, 2 tables, journal. arXiv admin note: text overlap
with arXiv:1206.3509 by other authors | International Journal of Data Mining & Knowledge Management
Process (IJDKP) Vol.3, No.2, March 2013 | 10.5121/ijdkp.2013.3207 | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An intrinsic problem of classifiers based on machine learning (ML) methods is
that their learning time grows as the size and complexity of the training
dataset increases. For this reason, it is important to have efficient
computational methods and algorithms that can be applied on large datasets,
such that it is stil... | [
{
"version": "v1",
"created": "Fri, 12 Apr 2013 22:23:53 GMT"
}
] | 2013-04-16T00:00:00 | [
[
"Ghanem",
"Khadoudja",
""
]
] | TITLE: Towards more accurate clustering method by using dynamic time warping
ABSTRACT: An intrinsic problem of classifiers based on machine learning (ML) methods is
that their learning time grows as the size and complexity of the training
dataset increases. For this reason, it is important to have efficient
computa... |
1304.3816 | Justin Thaler | Amit Chakrabarti and Graham Cormode and Navin Goyal and Justin Thaler | Annotations for Sparse Data Streams | 29 pages, 5 tables | null | null | null | cs.CC cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Motivated by cloud computing, a number of recent works have studied annotated
data streams and variants thereof. In this setting, a computationally weak
verifier (cloud user), lacking the resources to store and manipulate his
massive input locally, accesses a powerful but untrusted prover (cloud
service). The verifie... | [
{
"version": "v1",
"created": "Sat, 13 Apr 2013 15:17:28 GMT"
}
] | 2013-04-16T00:00:00 | [
[
"Chakrabarti",
"Amit",
""
],
[
"Cormode",
"Graham",
""
],
[
"Goyal",
"Navin",
""
],
[
"Thaler",
"Justin",
""
]
] | TITLE: Annotations for Sparse Data Streams
ABSTRACT: Motivated by cloud computing, a number of recent works have studied annotated
data streams and variants thereof. In this setting, a computationally weak
verifier (cloud user), lacking the resources to store and manipulate his
massive input locally, accesses a pow... |
1304.4041 | Humayun Irshad | H. Irshad, A. Gouaillard, L. Roux, D. Racoceanu | Multispectral Spatial Characterization: Application to Mitosis Detection
in Breast Cancer Histopathology | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Accurate detection of mitosis plays a critical role in breast cancer
histopathology. Manual detection and counting of mitosis is tedious and subject
to considerable inter- and intra-reader variations. Multispectral imaging is a
recent medical imaging technology, proven successful in increasing the
segmentation accura... | [
{
"version": "v1",
"created": "Mon, 15 Apr 2013 10:11:34 GMT"
}
] | 2013-04-16T00:00:00 | [
[
"Irshad",
"H.",
""
],
[
"Gouaillard",
"A.",
""
],
[
"Roux",
"L.",
""
],
[
"Racoceanu",
"D.",
""
]
] | TITLE: Multispectral Spatial Characterization: Application to Mitosis Detection
in Breast Cancer Histopathology
ABSTRACT: Accurate detection of mitosis plays a critical role in breast cancer
histopathology. Manual detection and counting of mitosis is tedious and subject
to considerable inter- and intra-reader var... |
1304.3192 | Yulan Guo | Yulan Guo, Ferdous Sohel, Mohammed Bennamoun, Min Lu, Jianwei Wan | Rotational Projection Statistics for 3D Local Surface Description and
Object Recognition | The final publication is available at link.springer.com International
Journal of Computer Vision 2013 | null | 10.1007/s11263-013-0627-y | null | cs.CV | http://creativecommons.org/licenses/by/3.0/ | Recognizing 3D objects in the presence of noise, varying mesh resolution,
occlusion and clutter is a very challenging task. This paper presents a novel
method named Rotational Projection Statistics (RoPS). It has three major
modules: Local Reference Frame (LRF) definition, RoPS feature description and
3D object recog... | [
{
"version": "v1",
"created": "Thu, 11 Apr 2013 04:26:52 GMT"
}
] | 2013-04-12T00:00:00 | [
[
"Guo",
"Yulan",
""
],
[
"Sohel",
"Ferdous",
""
],
[
"Bennamoun",
"Mohammed",
""
],
[
"Lu",
"Min",
""
],
[
"Wan",
"Jianwei",
""
]
] | TITLE: Rotational Projection Statistics for 3D Local Surface Description and
Object Recognition
ABSTRACT: Recognizing 3D objects in the presence of noise, varying mesh resolution,
occlusion and clutter is a very challenging task. This paper presents a novel
method named Rotational Projection Statistics (RoPS). It... |
1304.3345 | Marzieh Parandehgheibi | Marzieh Parandehgheibi | Probabilistic Classification using Fuzzy Support Vector Machines | 6 pages, Proceedings of the 6th INFORMS Workshop on Data Mining and
Health Informatics (DM-HI 2011) | null | null | null | cs.LG math.ST stat.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In medical applications such as recognizing the type of a tumor as Malignant
or Benign, a wrong diagnosis can be devastating. Methods like Fuzzy Support
Vector Machines (FSVM) try to reduce the effect of misplaced training points by
assigning a lower weight to the outliers. However, there are still uncertain
points w... | [
{
"version": "v1",
"created": "Thu, 11 Apr 2013 15:44:18 GMT"
}
] | 2013-04-12T00:00:00 | [
[
"Parandehgheibi",
"Marzieh",
""
]
] | TITLE: Probabilistic Classification using Fuzzy Support Vector Machines
ABSTRACT: In medical applications such as recognizing the type of a tumor as Malignant
or Benign, a wrong diagnosis can be devastating. Methods like Fuzzy Support
Vector Machines (FSVM) try to reduce the effect of misplaced training points by
a... |
1304.3406 | Seyed Hamed Alemohammad | Seyed Hamed Alemohammad, Dara Entekhabi | Merging Satellite Measurements of Rainfall Using Multi-scale Imagery
Technique | 6 pages, 10 Figures, WCRP Open Science Conference, 2011 | null | null | null | cs.CV cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Several passive microwave satellites orbit the Earth and measure rainfall.
These measurements have the advantage of almost full global coverage when
compared to surface rain gauges. However, these satellites have low temporal
revisit and missing data over some regions. Image fusion is a useful technique
to fill in th... | [
{
"version": "v1",
"created": "Thu, 11 Apr 2013 19:31:57 GMT"
}
] | 2013-04-12T00:00:00 | [
[
"Alemohammad",
"Seyed Hamed",
""
],
[
"Entekhabi",
"Dara",
""
]
] | TITLE: Merging Satellite Measurements of Rainfall Using Multi-scale Imagery
Technique
ABSTRACT: Several passive microwave satellites orbit the Earth and measure rainfall.
These measurements have the advantage of almost full global coverage when
compared to surface rain gauges. However, these satellites have low t... |
1302.6569 | Nicola Perra | Qian Zhang, Nicola Perra, Bruno Goncalves, Fabio Ciulla, Alessandro
Vespignani | Characterizing scientific production and consumption in Physics | null | Nature Scientific Reports 3, 1640 (2013) | 10.1038/srep01640 | null | physics.soc-ph cs.DL cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We analyze the entire publication database of the American Physical Society
generating longitudinal (50 years) citation networks geolocalized at the level
of single urban areas. We define the knowledge diffusion proxy, and scientific
production ranking algorithms to capture the spatio-temporal dynamics of
Physics kno... | [
{
"version": "v1",
"created": "Tue, 26 Feb 2013 20:33:51 GMT"
}
] | 2013-04-11T00:00:00 | [
[
"Zhang",
"Qian",
""
],
[
"Perra",
"Nicola",
""
],
[
"Goncalves",
"Bruno",
""
],
[
"Ciulla",
"Fabio",
""
],
[
"Vespignani",
"Alessandro",
""
]
] | TITLE: Characterizing scientific production and consumption in Physics
ABSTRACT: We analyze the entire publication database of the American Physical Society
generating longitudinal (50 years) citation networks geolocalized at the level
of single urban areas. We define the knowledge diffusion proxy, and scientific
p... |
1303.3087 | Togerchety Hitendra sarma | Mallikarjun Hangarge, K.C. Santosh, Srikanth Doddamani, Rajmohan
Pardeshi | Statistical Texture Features based Handwritten and Printed Text
Classification in South Indian Documents | Appeared in ICECIT-2102 | null | null | Volume 1,Number 32 | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we use statistical texture features for handwritten and
printed text classification. We primarily aim for word level classification in
south Indian scripts. Words are first extracted from the scanned document. For
each extracted word, statistical texture features are computed such as mean,
standard dev... | [
{
"version": "v1",
"created": "Wed, 13 Mar 2013 04:51:22 GMT"
}
] | 2013-04-11T00:00:00 | [
[
"Hangarge",
"Mallikarjun",
""
],
[
"Santosh",
"K. C.",
""
],
[
"Doddamani",
"Srikanth",
""
],
[
"Pardeshi",
"Rajmohan",
""
]
] | TITLE: Statistical Texture Features based Handwritten and Printed Text
Classification in South Indian Documents
ABSTRACT: In this paper, we use statistical texture features for handwritten and
printed text classification. We primarily aim for word level classification in
south Indian scripts. Words are first extr... |
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