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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1306.1959 | Xin Zhao | Xin Zhao and Bo Li | Pattern Recognition and Revealing using Parallel Coordinates Plot | 8 pages and 6 figures. This paper has been withdrawn by the author
due to publication | null | null | null | cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Parallel coordinates plot (PCP) is an excellent tool for multivariate
visualization and analysis, but it may fail to reveal inherent structures for
datasets with a large number of items. In this paper, we propose a suite of
novel clustering, dimension ordering and visualization techniques based on PCP,
to reveal and ... | [
{
"version": "v1",
"created": "Sat, 8 Jun 2013 21:18:43 GMT"
},
{
"version": "v2",
"created": "Sun, 3 Nov 2013 21:38:56 GMT"
}
] | 2013-11-05T00:00:00 | [
[
"Zhao",
"Xin",
""
],
[
"Li",
"Bo",
""
]
] | TITLE: Pattern Recognition and Revealing using Parallel Coordinates Plot
ABSTRACT: Parallel coordinates plot (PCP) is an excellent tool for multivariate
visualization and analysis, but it may fail to reveal inherent structures for
datasets with a large number of items. In this paper, we propose a suite of
novel clu... |
1307.0147 | Xin Zhao | Bo Li, Xin Zhao and Hong Qin | 4-Dimensional Geometry Lens: A Novel Volumetric Magnification Approach | 12 pages. In CGF 2013. This paper has been withdrawn by the author
due to publication | null | null | null | cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a novel methodology that utilizes 4-Dimensional (4D) space
deformation to simulate a magnification lens on versatile volume datasets and
textured solid models. Compared with other magnification methods (e.g.,
geometric optics, mesh editing), 4D differential geometry theory and its
practices are much more f... | [
{
"version": "v1",
"created": "Sat, 29 Jun 2013 20:20:37 GMT"
},
{
"version": "v2",
"created": "Sun, 3 Nov 2013 21:38:37 GMT"
}
] | 2013-11-05T00:00:00 | [
[
"Li",
"Bo",
""
],
[
"Zhao",
"Xin",
""
],
[
"Qin",
"Hong",
""
]
] | TITLE: 4-Dimensional Geometry Lens: A Novel Volumetric Magnification Approach
ABSTRACT: We present a novel methodology that utilizes 4-Dimensional (4D) space
deformation to simulate a magnification lens on versatile volume datasets and
textured solid models. Compared with other magnification methods (e.g.,
geometri... |
1307.1739 | Xin Zhao | Xin Zhao and Arie Kaufman | Anatomical Feature-guided Volumeric Registration of Multimodal Prostate
MRI | This paper has been withdrawn by the author due to publication | null | null | null | cs.CV cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Radiological imaging of prostate is becoming more popular among researchers
and clinicians in searching for diseases, primarily cancer. Scans might be
acquired at different times, with patient movement between scans, or with
different equipment, resulting in multiple datasets that need to be registered.
For this issu... | [
{
"version": "v1",
"created": "Sat, 6 Jul 2013 00:30:40 GMT"
},
{
"version": "v2",
"created": "Sun, 3 Nov 2013 21:38:08 GMT"
}
] | 2013-11-05T00:00:00 | [
[
"Zhao",
"Xin",
""
],
[
"Kaufman",
"Arie",
""
]
] | TITLE: Anatomical Feature-guided Volumeric Registration of Multimodal Prostate
MRI
ABSTRACT: Radiological imaging of prostate is becoming more popular among researchers
and clinicians in searching for diseases, primarily cancer. Scans might be
acquired at different times, with patient movement between scans, or w... |
1311.0378 | George Teodoro | George Teodoro and Tahsin Kurc and Jun Kong and Lee Cooper and Joel
Saltz | Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU | 11 pages, 2 figures | null | null | null | cs.DC cs.PF | http://creativecommons.org/licenses/publicdomain/ | We investigate and characterize the performance of an important class of
operations on GPUs and Many Integrated Core (MIC) architectures. Our work is
motivated by applications that analyze low-dimensional spatial datasets
captured by high resolution sensors, such as image datasets obtained from whole
slide tissue spe... | [
{
"version": "v1",
"created": "Sat, 2 Nov 2013 14:00:40 GMT"
}
] | 2013-11-05T00:00:00 | [
[
"Teodoro",
"George",
""
],
[
"Kurc",
"Tahsin",
""
],
[
"Kong",
"Jun",
""
],
[
"Cooper",
"Lee",
""
],
[
"Saltz",
"Joel",
""
]
] | TITLE: Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU
ABSTRACT: We investigate and characterize the performance of an important class of
operations on GPUs and Many Integrated Core (MIC) architectures. Our work is
motivated by applications that analyze low-dimensional spatial datasets
captured by ... |
1311.0636 | Dhruv Mahajan | Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan, Leon Bottou | A Parallel SGD method with Strong Convergence | null | null | null | null | cs.LG cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes a novel parallel stochastic gradient descent (SGD) method
that is obtained by applying parallel sets of SGD iterations (each set
operating on one node using the data residing in it) for finding the direction
in each iteration of a batch descent method. The method has strong convergence
properties.... | [
{
"version": "v1",
"created": "Mon, 4 Nov 2013 10:31:11 GMT"
}
] | 2013-11-05T00:00:00 | [
[
"Mahajan",
"Dhruv",
""
],
[
"Keerthi",
"S. Sathiya",
""
],
[
"Sundararajan",
"S.",
""
],
[
"Bottou",
"Leon",
""
]
] | TITLE: A Parallel SGD method with Strong Convergence
ABSTRACT: This paper proposes a novel parallel stochastic gradient descent (SGD) method
that is obtained by applying parallel sets of SGD iterations (each set
operating on one node using the data residing in it) for finding the direction
in each iteration of a ba... |
1311.0833 | Zitao Liu | Zitao Liu | A Comparative Study on Linguistic Feature Selection in Sentiment
Polarity Classification | arXiv admin note: text overlap with arXiv:cs/0205070 by other authors | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Sentiment polarity classification is perhaps the most widely studied topic.
It classifies an opinionated document as expressing a positive or negative
opinion. In this paper, using movie review dataset, we perform a comparative
study with different single kind linguistic features and the combinations of
these feature... | [
{
"version": "v1",
"created": "Mon, 4 Nov 2013 20:11:35 GMT"
}
] | 2013-11-05T00:00:00 | [
[
"Liu",
"Zitao",
""
]
] | TITLE: A Comparative Study on Linguistic Feature Selection in Sentiment
Polarity Classification
ABSTRACT: Sentiment polarity classification is perhaps the most widely studied topic.
It classifies an opinionated document as expressing a positive or negative
opinion. In this paper, using movie review dataset, we pe... |
1305.6659 | Trevor Campbell | Trevor Campbell, Miao Liu, Brian Kulis, Jonathan P. How, Lawrence
Carin | Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process
Mixture | This paper is from NIPS 2013. Please use the following BibTeX
citation: @inproceedings{Campbell13_NIPS, Author = {Trevor Campbell and Miao
Liu and Brian Kulis and Jonathan P. How and Lawrence Carin}, Title = {Dynamic
Clustering via Asymptotics of the Dependent Dirichlet Process}, Booktitle =
{Advances in Neural... | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a novel algorithm, based upon the dependent Dirichlet
process mixture model (DDPMM), for clustering batch-sequential data containing
an unknown number of evolving clusters. The algorithm is derived via a
low-variance asymptotic analysis of the Gibbs sampling algorithm for the DDPMM,
and provides a... | [
{
"version": "v1",
"created": "Tue, 28 May 2013 23:59:16 GMT"
},
{
"version": "v2",
"created": "Fri, 1 Nov 2013 18:25:39 GMT"
}
] | 2013-11-04T00:00:00 | [
[
"Campbell",
"Trevor",
""
],
[
"Liu",
"Miao",
""
],
[
"Kulis",
"Brian",
""
],
[
"How",
"Jonathan P.",
""
],
[
"Carin",
"Lawrence",
""
]
] | TITLE: Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process
Mixture
ABSTRACT: This paper presents a novel algorithm, based upon the dependent Dirichlet
process mixture model (DDPMM), for clustering batch-sequential data containing
an unknown number of evolving clusters. The algorithm is derived v... |
1307.1493 | Stefan Wager | Stefan Wager, Sida Wang, and Percy Liang | Dropout Training as Adaptive Regularization | 11 pages. Advances in Neural Information Processing Systems (NIPS),
2013 | null | null | null | stat.ML cs.LG stat.ME | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Dropout and other feature noising schemes control overfitting by artificially
corrupting the training data. For generalized linear models, dropout performs a
form of adaptive regularization. Using this viewpoint, we show that the dropout
regularizer is first-order equivalent to an L2 regularizer applied after
scaling... | [
{
"version": "v1",
"created": "Thu, 4 Jul 2013 21:33:56 GMT"
},
{
"version": "v2",
"created": "Fri, 1 Nov 2013 17:56:35 GMT"
}
] | 2013-11-04T00:00:00 | [
[
"Wager",
"Stefan",
""
],
[
"Wang",
"Sida",
""
],
[
"Liang",
"Percy",
""
]
] | TITLE: Dropout Training as Adaptive Regularization
ABSTRACT: Dropout and other feature noising schemes control overfitting by artificially
corrupting the training data. For generalized linear models, dropout performs a
form of adaptive regularization. Using this viewpoint, we show that the dropout
regularizer is fi... |
1306.4626 | Laetitia Gauvin | Laetitia Gauvin, Andr\'e Panisson, Ciro Cattuto and Alain Barrat | Activity clocks: spreading dynamics on temporal networks of human
contact | null | Scientific Reports 3, 3099 (2013) | 10.1038/srep03099 | null | physics.soc-ph cs.SI nlin.AO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Dynamical processes on time-varying complex networks are key to understanding
and modeling a broad variety of processes in socio-technical systems. Here we
focus on empirical temporal networks of human proximity and we aim at
understanding the factors that, in simulation, shape the arrival time
distribution of simple... | [
{
"version": "v1",
"created": "Wed, 19 Jun 2013 17:44:40 GMT"
},
{
"version": "v2",
"created": "Thu, 31 Oct 2013 14:13:04 GMT"
}
] | 2013-11-01T00:00:00 | [
[
"Gauvin",
"Laetitia",
""
],
[
"Panisson",
"André",
""
],
[
"Cattuto",
"Ciro",
""
],
[
"Barrat",
"Alain",
""
]
] | TITLE: Activity clocks: spreading dynamics on temporal networks of human
contact
ABSTRACT: Dynamical processes on time-varying complex networks are key to understanding
and modeling a broad variety of processes in socio-technical systems. Here we
focus on empirical temporal networks of human proximity and we aim ... |
1308.6324 | Jakub Tomczak Ph.D. | Jakub M. Tomczak | Prediction of breast cancer recurrence using Classification Restricted
Boltzmann Machine with Dropping | technical report | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we apply Classification Restricted Boltzmann Machine
(ClassRBM) to the problem of predicting breast cancer recurrence. According to
the Polish National Cancer Registry, in 2010 only, the breast cancer caused
almost 25% of all diagnosed cases of cancer in Poland. We propose how to use
ClassRBM for predi... | [
{
"version": "v1",
"created": "Wed, 28 Aug 2013 22:08:29 GMT"
},
{
"version": "v2",
"created": "Wed, 30 Oct 2013 16:10:27 GMT"
}
] | 2013-10-31T00:00:00 | [
[
"Tomczak",
"Jakub M.",
""
]
] | TITLE: Prediction of breast cancer recurrence using Classification Restricted
Boltzmann Machine with Dropping
ABSTRACT: In this paper, we apply Classification Restricted Boltzmann Machine
(ClassRBM) to the problem of predicting breast cancer recurrence. According to
the Polish National Cancer Registry, in 2010 on... |
1308.1995 | Shuyang Lin | Shuyang Lin, Xiangnan Kong, Philip S. Yu | Predicting Trends in Social Networks via Dynamic Activeness Model | 10 pages, a shorter version published in CIKM 2013 | null | null | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the effect of word-of-the-mouth, trends in social networks are now
playing a significant role in shaping people's lives. Predicting dynamic trends
is an important problem with many useful applications. There are three dynamic
characteristics of a trend that should be captured by a trend model: intensity,
coverag... | [
{
"version": "v1",
"created": "Thu, 8 Aug 2013 22:35:35 GMT"
},
{
"version": "v2",
"created": "Tue, 29 Oct 2013 03:31:24 GMT"
}
] | 2013-10-30T00:00:00 | [
[
"Lin",
"Shuyang",
""
],
[
"Kong",
"Xiangnan",
""
],
[
"Yu",
"Philip S.",
""
]
] | TITLE: Predicting Trends in Social Networks via Dynamic Activeness Model
ABSTRACT: With the effect of word-of-the-mouth, trends in social networks are now
playing a significant role in shaping people's lives. Predicting dynamic trends
is an important problem with many useful applications. There are three dynamic
ch... |
1107.0789 | Lester Mackey | Lester Mackey, Ameet Talwalkar, Michael I. Jordan | Distributed Matrix Completion and Robust Factorization | 35 pages, 6 figures | null | null | null | cs.LG cs.DS cs.NA math.NA stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | If learning methods are to scale to the massive sizes of modern datasets, it
is essential for the field of machine learning to embrace parallel and
distributed computing. Inspired by the recent development of matrix
factorization methods with rich theory but poor computational complexity and by
the relative ease of m... | [
{
"version": "v1",
"created": "Tue, 5 Jul 2011 06:03:44 GMT"
},
{
"version": "v2",
"created": "Wed, 17 Aug 2011 00:59:30 GMT"
},
{
"version": "v3",
"created": "Wed, 21 Sep 2011 01:38:14 GMT"
},
{
"version": "v4",
"created": "Tue, 1 Nov 2011 05:37:48 GMT"
},
{
"ver... | 2013-10-29T00:00:00 | [
[
"Mackey",
"Lester",
""
],
[
"Talwalkar",
"Ameet",
""
],
[
"Jordan",
"Michael I.",
""
]
] | TITLE: Distributed Matrix Completion and Robust Factorization
ABSTRACT: If learning methods are to scale to the massive sizes of modern datasets, it
is essential for the field of machine learning to embrace parallel and
distributed computing. Inspired by the recent development of matrix
factorization methods with r... |
1310.7297 | Farhana Murtaza Choudhury | Farhana Murtaza Choudhury, Mohammed Eunus Ali, Sarah Masud, Suman
Nath, Ishat E Rabban | Scalable Visibility Color Map Construction in Spatial Databases | 12 pages, 14 figures | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advances in 3D modeling provide us with real 3D datasets to answer
queries, such as "What is the best position for a new billboard?" and "Which
hotel room has the best view?" in the presence of obstacles. These applications
require measuring and differentiating the visibility of an object (target) from
differe... | [
{
"version": "v1",
"created": "Mon, 28 Oct 2013 02:38:26 GMT"
}
] | 2013-10-29T00:00:00 | [
[
"Choudhury",
"Farhana Murtaza",
""
],
[
"Ali",
"Mohammed Eunus",
""
],
[
"Masud",
"Sarah",
""
],
[
"Nath",
"Suman",
""
],
[
"Rabban",
"Ishat E",
""
]
] | TITLE: Scalable Visibility Color Map Construction in Spatial Databases
ABSTRACT: Recent advances in 3D modeling provide us with real 3D datasets to answer
queries, such as "What is the best position for a new billboard?" and "Which
hotel room has the best view?" in the presence of obstacles. These applications
requ... |
1310.6772 | Ragib Hasan | Thamar Solorio and Ragib Hasan and Mainul Mizan | Sockpuppet Detection in Wikipedia: A Corpus of Real-World Deceptive
Writing for Linking Identities | 4 pages, under submission at LREC 2014 | null | null | null | cs.CL cs.CR cs.CY | http://creativecommons.org/licenses/by/3.0/ | This paper describes the corpus of sockpuppet cases we gathered from
Wikipedia. A sockpuppet is an online user account created with a fake identity
for the purpose of covering abusive behavior and/or subverting the editing
regulation process. We used a semi-automated method for crawling and curating a
dataset of real... | [
{
"version": "v1",
"created": "Thu, 24 Oct 2013 20:59:27 GMT"
}
] | 2013-10-28T00:00:00 | [
[
"Solorio",
"Thamar",
""
],
[
"Hasan",
"Ragib",
""
],
[
"Mizan",
"Mainul",
""
]
] | TITLE: Sockpuppet Detection in Wikipedia: A Corpus of Real-World Deceptive
Writing for Linking Identities
ABSTRACT: This paper describes the corpus of sockpuppet cases we gathered from
Wikipedia. A sockpuppet is an online user account created with a fake identity
for the purpose of covering abusive behavior and/o... |
1310.6998 | Shiladitya Sinha | Shiladitya Sinha, Chris Dyer, Kevin Gimpel, and Noah A. Smith | Predicting the NFL using Twitter | Presented at ECML/PKDD 2013 Workshop on Machine Learning and Data
Mining for Sports Analytics | null | null | null | cs.SI cs.LG physics.soc-ph stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the relationship between social media output and National Football
League (NFL) games, using a dataset containing messages from Twitter and NFL
game statistics. Specifically, we consider tweets pertaining to specific teams
and games in the NFL season and use them alongside statistical game data to
build pred... | [
{
"version": "v1",
"created": "Fri, 25 Oct 2013 18:35:22 GMT"
}
] | 2013-10-28T00:00:00 | [
[
"Sinha",
"Shiladitya",
""
],
[
"Dyer",
"Chris",
""
],
[
"Gimpel",
"Kevin",
""
],
[
"Smith",
"Noah A.",
""
]
] | TITLE: Predicting the NFL using Twitter
ABSTRACT: We study the relationship between social media output and National Football
League (NFL) games, using a dataset containing messages from Twitter and NFL
game statistics. Specifically, we consider tweets pertaining to specific teams
and games in the NFL season and us... |
1310.6304 | Nikos Karampatziakis | Nikos Karampatziakis, Paul Mineiro | Combining Structured and Unstructured Randomness in Large Scale PCA | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Principal Component Analysis (PCA) is a ubiquitous tool with many
applications in machine learning including feature construction, subspace
embedding, and outlier detection. In this paper, we present an algorithm for
computing the top principal components of a dataset with a large number of rows
(examples) and column... | [
{
"version": "v1",
"created": "Wed, 23 Oct 2013 17:33:26 GMT"
},
{
"version": "v2",
"created": "Thu, 24 Oct 2013 17:36:27 GMT"
}
] | 2013-10-25T00:00:00 | [
[
"Karampatziakis",
"Nikos",
""
],
[
"Mineiro",
"Paul",
""
]
] | TITLE: Combining Structured and Unstructured Randomness in Large Scale PCA
ABSTRACT: Principal Component Analysis (PCA) is a ubiquitous tool with many
applications in machine learning including feature construction, subspace
embedding, and outlier detection. In this paper, we present an algorithm for
computing the ... |
1310.6654 | Sahil Sikka | Sahil Sikka and Karan Sikka and M.K. Bhuyan and Yuji Iwahori | Pseudo vs. True Defect Classification in Printed Circuits Boards using
Wavelet Features | 6 pages, 8 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, Printed Circuit Boards (PCB) have become the backbone of a
large number of consumer electronic devices leading to a surge in their
production. This has made it imperative to employ automatic inspection systems
to identify manufacturing defects in PCB before they are installed in the
respective system... | [
{
"version": "v1",
"created": "Thu, 24 Oct 2013 16:11:28 GMT"
}
] | 2013-10-25T00:00:00 | [
[
"Sikka",
"Sahil",
""
],
[
"Sikka",
"Karan",
""
],
[
"Bhuyan",
"M. K.",
""
],
[
"Iwahori",
"Yuji",
""
]
] | TITLE: Pseudo vs. True Defect Classification in Printed Circuits Boards using
Wavelet Features
ABSTRACT: In recent years, Printed Circuit Boards (PCB) have become the backbone of a
large number of consumer electronic devices leading to a surge in their
production. This has made it imperative to employ automatic i... |
1211.7052 | Andrea Baronchelli | Bruno Ribeiro, Nicola Perra, Andrea Baronchelli | Quantifying the effect of temporal resolution on time-varying networks | null | Scientific Reports 3, 3006 (2013) | 10.1038/srep03006 | null | cond-mat.stat-mech cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Time-varying networks describe a wide array of systems whose constituents and
interactions evolve over time. They are defined by an ordered stream of
interactions between nodes, yet they are often represented in terms of a
sequence of static networks, each aggregating all edges and nodes present in a
time interval of... | [
{
"version": "v1",
"created": "Thu, 29 Nov 2012 20:56:13 GMT"
},
{
"version": "v2",
"created": "Thu, 6 Dec 2012 17:21:53 GMT"
},
{
"version": "v3",
"created": "Tue, 22 Oct 2013 10:50:42 GMT"
}
] | 2013-10-23T00:00:00 | [
[
"Ribeiro",
"Bruno",
""
],
[
"Perra",
"Nicola",
""
],
[
"Baronchelli",
"Andrea",
""
]
] | TITLE: Quantifying the effect of temporal resolution on time-varying networks
ABSTRACT: Time-varying networks describe a wide array of systems whose constituents and
interactions evolve over time. They are defined by an ordered stream of
interactions between nodes, yet they are often represented in terms of a
seque... |
1310.5767 | Chunhua Shen | Xi Li, Yao Li, Chunhua Shen, Anthony Dick, Anton van den Hengel | Contextual Hypergraph Modelling for Salient Object Detection | Appearing in Proc. Int. Conf. Computer Vision 2013, Sydney, Australia | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Salient object detection aims to locate objects that capture human attention
within images. Previous approaches often pose this as a problem of image
contrast analysis. In this work, we model an image as a hypergraph that
utilizes a set of hyperedges to capture the contextual properties of image
pixels or regions. As... | [
{
"version": "v1",
"created": "Tue, 22 Oct 2013 00:38:59 GMT"
}
] | 2013-10-23T00:00:00 | [
[
"Li",
"Xi",
""
],
[
"Li",
"Yao",
""
],
[
"Shen",
"Chunhua",
""
],
[
"Dick",
"Anthony",
""
],
[
"Hengel",
"Anton van den",
""
]
] | TITLE: Contextual Hypergraph Modelling for Salient Object Detection
ABSTRACT: Salient object detection aims to locate objects that capture human attention
within images. Previous approaches often pose this as a problem of image
contrast analysis. In this work, we model an image as a hypergraph that
utilizes a set o... |
1310.5965 | Roozbeh Rajabi | Roozbeh Rajabi, Hassan Ghassemian | Fusion of Hyperspectral and Panchromatic Images using Spectral Uumixing
Results | 4 pages, conference | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Hyperspectral imaging, due to providing high spectral resolution images, is
one of the most important tools in the remote sensing field. Because of
technological restrictions hyperspectral sensors has a limited spatial
resolution. On the other hand panchromatic image has a better spatial
resolution. Combining this in... | [
{
"version": "v1",
"created": "Tue, 22 Oct 2013 15:44:51 GMT"
}
] | 2013-10-23T00:00:00 | [
[
"Rajabi",
"Roozbeh",
""
],
[
"Ghassemian",
"Hassan",
""
]
] | TITLE: Fusion of Hyperspectral and Panchromatic Images using Spectral Uumixing
Results
ABSTRACT: Hyperspectral imaging, due to providing high spectral resolution images, is
one of the most important tools in the remote sensing field. Because of
technological restrictions hyperspectral sensors has a limited spatia... |
1303.2130 | Xiao-Lei Zhang | Xiao-Lei Zhang | Convex Discriminative Multitask Clustering | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multitask clustering tries to improve the clustering performance of multiple
tasks simultaneously by taking their relationship into account. Most existing
multitask clustering algorithms fall into the type of generative clustering,
and none are formulated as convex optimization problems. In this paper, we
propose two... | [
{
"version": "v1",
"created": "Fri, 8 Mar 2013 21:32:52 GMT"
},
{
"version": "v2",
"created": "Mon, 21 Oct 2013 15:06:36 GMT"
}
] | 2013-10-22T00:00:00 | [
[
"Zhang",
"Xiao-Lei",
""
]
] | TITLE: Convex Discriminative Multitask Clustering
ABSTRACT: Multitask clustering tries to improve the clustering performance of multiple
tasks simultaneously by taking their relationship into account. Most existing
multitask clustering algorithms fall into the type of generative clustering,
and none are formulated ... |
1310.1949 | Nikos Karampatziakis | Alekh Agarwal, Sham M. Kakade, Nikos Karampatziakis, Le Song, Gregory
Valiant | Least Squares Revisited: Scalable Approaches for Multi-class Prediction | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work provides simple algorithms for multi-class (and multi-label)
prediction in settings where both the number of examples n and the data
dimension d are relatively large. These robust and parameter free algorithms
are essentially iterative least-squares updates and very versatile both in
theory and in practice.... | [
{
"version": "v1",
"created": "Mon, 7 Oct 2013 20:48:58 GMT"
},
{
"version": "v2",
"created": "Mon, 21 Oct 2013 15:18:37 GMT"
}
] | 2013-10-22T00:00:00 | [
[
"Agarwal",
"Alekh",
""
],
[
"Kakade",
"Sham M.",
""
],
[
"Karampatziakis",
"Nikos",
""
],
[
"Song",
"Le",
""
],
[
"Valiant",
"Gregory",
""
]
] | TITLE: Least Squares Revisited: Scalable Approaches for Multi-class Prediction
ABSTRACT: This work provides simple algorithms for multi-class (and multi-label)
prediction in settings where both the number of examples n and the data
dimension d are relatively large. These robust and parameter free algorithms
are ess... |
1310.4954 | Miguel A. Martinez-Prieto | Sandra \'Alvarez-Garc\'ia and Nieves R. Brisaboa and Javier D.
Fern\'andez and Miguel A. Mart\'inez-Prieto and Gonzalo Navarro | Compressed Vertical Partitioning for Full-In-Memory RDF Management | null | null | null | null | cs.DB cs.DS cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Web of Data has been gaining momentum and this leads to increasingly
publish more semi-structured datasets following the RDF model, based on atomic
triple units of subject, predicate, and object. Although it is a simple model,
compression methods become necessary because datasets are increasingly larger
and vario... | [
{
"version": "v1",
"created": "Fri, 18 Oct 2013 08:58:01 GMT"
},
{
"version": "v2",
"created": "Mon, 21 Oct 2013 09:00:47 GMT"
}
] | 2013-10-22T00:00:00 | [
[
"Álvarez-García",
"Sandra",
""
],
[
"Brisaboa",
"Nieves R.",
""
],
[
"Fernández",
"Javier D.",
""
],
[
"Martínez-Prieto",
"Miguel A.",
""
],
[
"Navarro",
"Gonzalo",
""
]
] | TITLE: Compressed Vertical Partitioning for Full-In-Memory RDF Management
ABSTRACT: The Web of Data has been gaining momentum and this leads to increasingly
publish more semi-structured datasets following the RDF model, based on atomic
triple units of subject, predicate, and object. Although it is a simple model,
c... |
1310.5142 | Hyun Joon Jung | Hyun Joon Jung and Matthew Lease | Crowdsourced Task Routing via Matrix Factorization | 10 pages, 7 figures | null | null | null | cs.CY cs.IR | http://creativecommons.org/licenses/by-nc-sa/3.0/ | We describe methods to predict a crowd worker's accuracy on new tasks based
on his accuracy on past tasks. Such prediction provides a foundation for
identifying the best workers to route work to in order to maximize accuracy on
the new task. Our key insight is to model similarity of past tasks to the
target task such... | [
{
"version": "v1",
"created": "Fri, 18 Oct 2013 14:37:24 GMT"
}
] | 2013-10-22T00:00:00 | [
[
"Jung",
"Hyun Joon",
""
],
[
"Lease",
"Matthew",
""
]
] | TITLE: Crowdsourced Task Routing via Matrix Factorization
ABSTRACT: We describe methods to predict a crowd worker's accuracy on new tasks based
on his accuracy on past tasks. Such prediction provides a foundation for
identifying the best workers to route work to in order to maximize accuracy on
the new task. Our ke... |
1310.5221 | Sumeet Kaur Sehra | Sumeet Kaur Sehra, Yadwinder Singh Brar, Navdeep Kaur | Soft computing techniques for software effort estimation | null | International Journal of Advanced Computer and Mathematical
Sciences Vol.2(3), November, 2011. pp:10-17 | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The effort invested in a software project is probably one of the most
important and most analyzed variables in recent years in the process of project
management. The limitation of algorithmic effort prediction models is their
inability to cope with uncertainties and imprecision surrounding software
projects at the ea... | [
{
"version": "v1",
"created": "Sat, 19 Oct 2013 12:25:00 GMT"
}
] | 2013-10-22T00:00:00 | [
[
"Sehra",
"Sumeet Kaur",
""
],
[
"Brar",
"Yadwinder Singh",
""
],
[
"Kaur",
"Navdeep",
""
]
] | TITLE: Soft computing techniques for software effort estimation
ABSTRACT: The effort invested in a software project is probably one of the most
important and most analyzed variables in recent years in the process of project
management. The limitation of algorithmic effort prediction models is their
inability to cop... |
1310.5249 | Fabrice Rossi | Mohamed Khalil El Mahrsi (LTCI, SAMM), Fabrice Rossi (SAMM) | Graph-Based Approaches to Clustering Network-Constrained Trajectory Data | null | New Frontiers in Mining Complex Patterns, Appice, Annalisa and
Ceci, Michelangelo and Loglisci, Corrado and Manco, Giuseppe and Masciari,
Elio and Ras, Zbigniew (Ed.) (2013) 124-137 | 10.1007/978-3-642-37382-4_9 | NFMCP2013 | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Clustering trajectory data attracted considerable attention in the last few
years. Most of prior work assumed that moving objects can move freely in an
euclidean space and did not consider the eventual presence of an underlying
road network and its influence on evaluating the similarity between
trajectories. In this ... | [
{
"version": "v1",
"created": "Sat, 19 Oct 2013 17:24:39 GMT"
}
] | 2013-10-22T00:00:00 | [
[
"Mahrsi",
"Mohamed Khalil El",
"",
"LTCI, SAMM"
],
[
"Rossi",
"Fabrice",
"",
"SAMM"
]
] | TITLE: Graph-Based Approaches to Clustering Network-Constrained Trajectory Data
ABSTRACT: Clustering trajectory data attracted considerable attention in the last few
years. Most of prior work assumed that moving objects can move freely in an
euclidean space and did not consider the eventual presence of an underlyin... |
1310.5430 | Amit Goyal | Glenn S. Bevilacqua and Shealen Clare and Amit Goyal and Laks V. S.
Lakshmanan | Validating Network Value of Influencers by means of Explanations | null | null | null | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, there has been significant interest in social influence analysis.
One of the central problems in this area is the problem of identifying
influencers, such that by convincing these users to perform a certain action
(like buying a new product), a large number of other users get influenced to
follow the action... | [
{
"version": "v1",
"created": "Mon, 21 Oct 2013 06:05:48 GMT"
}
] | 2013-10-22T00:00:00 | [
[
"Bevilacqua",
"Glenn S.",
""
],
[
"Clare",
"Shealen",
""
],
[
"Goyal",
"Amit",
""
],
[
"Lakshmanan",
"Laks V. S.",
""
]
] | TITLE: Validating Network Value of Influencers by means of Explanations
ABSTRACT: Recently, there has been significant interest in social influence analysis.
One of the central problems in this area is the problem of identifying
influencers, such that by convincing these users to perform a certain action
(like buyi... |
1310.2700 | Marvin Weinstein | M. Weinstein, F. Meirer, A. Hume, Ph. Sciau, G. Shaked, R. Hofstetter,
E. Persi, A. Mehta, and D. Horn | Analyzing Big Data with Dynamic Quantum Clustering | 37 pages, 22 figures, 1 Table | null | null | null | physics.data-an cs.LG physics.comp-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | How does one search for a needle in a multi-dimensional haystack without
knowing what a needle is and without knowing if there is one in the haystack?
This kind of problem requires a paradigm shift - away from hypothesis driven
searches of the data - towards a methodology that lets the data speak for
itself. Dynamic ... | [
{
"version": "v1",
"created": "Thu, 10 Oct 2013 04:00:03 GMT"
},
{
"version": "v2",
"created": "Thu, 17 Oct 2013 21:06:22 GMT"
}
] | 2013-10-21T00:00:00 | [
[
"Weinstein",
"M.",
""
],
[
"Meirer",
"F.",
""
],
[
"Hume",
"A.",
""
],
[
"Sciau",
"Ph.",
""
],
[
"Shaked",
"G.",
""
],
[
"Hofstetter",
"R.",
""
],
[
"Persi",
"E.",
""
],
[
"Mehta",
"A.",
""
... | TITLE: Analyzing Big Data with Dynamic Quantum Clustering
ABSTRACT: How does one search for a needle in a multi-dimensional haystack without
knowing what a needle is and without knowing if there is one in the haystack?
This kind of problem requires a paradigm shift - away from hypothesis driven
searches of the data... |
1310.4759 | Erik Rodner | Christoph G\"oring, Alexander Freytag, Erik Rodner, Joachim Denzler | Fine-grained Categorization -- Short Summary of our Entry for the
ImageNet Challenge 2012 | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we tackle the problem of visual categorization of dog breeds,
which is a surprisingly challenging task due to simultaneously present low
interclass distances and high intra-class variances. Our approach combines
several techniques well known in our community but often not utilized for
fine-grained reco... | [
{
"version": "v1",
"created": "Thu, 17 Oct 2013 16:11:53 GMT"
}
] | 2013-10-18T00:00:00 | [
[
"Göring",
"Christoph",
""
],
[
"Freytag",
"Alexander",
""
],
[
"Rodner",
"Erik",
""
],
[
"Denzler",
"Joachim",
""
]
] | TITLE: Fine-grained Categorization -- Short Summary of our Entry for the
ImageNet Challenge 2012
ABSTRACT: In this paper, we tackle the problem of visual categorization of dog breeds,
which is a surprisingly challenging task due to simultaneously present low
interclass distances and high intra-class variances. Ou... |
1304.1385 | Yves Dehouck | Yves Dehouck and Alexander S. Mikhailov | Effective harmonic potentials: insights into the internal cooperativity
and sequence-specificity of protein dynamics | 10 pages, 5 figures, 1 table ; Supplementary Material (11 pages, 7
figures, 1 table) ; 4 Supplementary tables as plain text files | PLoS Comput. Biol. 9 (2013) e1003209 | 10.1371/journal.pcbi.1003209 | null | q-bio.BM cond-mat.soft physics.bio-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The proper biological functioning of proteins often relies on the occurrence
of coordinated fluctuations around their native structure, or of wider and
sometimes highly elaborated motions. Coarse-grained elastic-network
descriptions are known to capture essential aspects of conformational dynamics
in proteins, but ha... | [
{
"version": "v1",
"created": "Thu, 4 Apr 2013 14:58:44 GMT"
}
] | 2013-10-17T00:00:00 | [
[
"Dehouck",
"Yves",
""
],
[
"Mikhailov",
"Alexander S.",
""
]
] | TITLE: Effective harmonic potentials: insights into the internal cooperativity
and sequence-specificity of protein dynamics
ABSTRACT: The proper biological functioning of proteins often relies on the occurrence
of coordinated fluctuations around their native structure, or of wider and
sometimes highly elaborated ... |
1304.5583 | Ameet Talwalkar | Ameet Talwalkar, Lester Mackey, Yadong Mu, Shih-Fu Chang, Michael I.
Jordan | Distributed Low-rank Subspace Segmentation | null | null | null | null | cs.CV cs.DC cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Vision problems ranging from image clustering to motion segmentation to
semi-supervised learning can naturally be framed as subspace segmentation
problems, in which one aims to recover multiple low-dimensional subspaces from
noisy and corrupted input data. Low-Rank Representation (LRR), a convex
formulation of the su... | [
{
"version": "v1",
"created": "Sat, 20 Apr 2013 03:54:48 GMT"
},
{
"version": "v2",
"created": "Wed, 16 Oct 2013 02:55:18 GMT"
}
] | 2013-10-17T00:00:00 | [
[
"Talwalkar",
"Ameet",
""
],
[
"Mackey",
"Lester",
""
],
[
"Mu",
"Yadong",
""
],
[
"Chang",
"Shih-Fu",
""
],
[
"Jordan",
"Michael I.",
""
]
] | TITLE: Distributed Low-rank Subspace Segmentation
ABSTRACT: Vision problems ranging from image clustering to motion segmentation to
semi-supervised learning can naturally be framed as subspace segmentation
problems, in which one aims to recover multiple low-dimensional subspaces from
noisy and corrupted input data.... |
1304.7284 | Zenglin Xu | Shandian Zhe, Zenglin Xu, and Yuan Qi | Supervised Heterogeneous Multiview Learning for Joint Association Study
and Disease Diagnosis | null | null | null | null | cs.LG cs.CE stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given genetic variations and various phenotypical traits, such as Magnetic
Resonance Imaging (MRI) features, we consider two important and related tasks
in biomedical research: i)to select genetic and phenotypical markers for
disease diagnosis and ii) to identify associations between genetic and
phenotypical data. Th... | [
{
"version": "v1",
"created": "Fri, 26 Apr 2013 20:47:46 GMT"
},
{
"version": "v2",
"created": "Wed, 16 Oct 2013 07:04:04 GMT"
}
] | 2013-10-17T00:00:00 | [
[
"Zhe",
"Shandian",
""
],
[
"Xu",
"Zenglin",
""
],
[
"Qi",
"Yuan",
""
]
] | TITLE: Supervised Heterogeneous Multiview Learning for Joint Association Study
and Disease Diagnosis
ABSTRACT: Given genetic variations and various phenotypical traits, such as Magnetic
Resonance Imaging (MRI) features, we consider two important and related tasks
in biomedical research: i)to select genetic and ph... |
1310.4217 | Bingni Brunton | B. W. Brunton, S. L. Brunton, J. L. Proctor, and J. N. Kutz | Optimal Sensor Placement and Enhanced Sparsity for Classification | 13 pages, 11 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The goal of compressive sensing is efficient reconstruction of data from few
measurements, sometimes leading to a categorical decision. If only
classification is required, reconstruction can be circumvented and the
measurements needed are orders-of-magnitude sparser still. We define enhanced
sparsity as the reduction... | [
{
"version": "v1",
"created": "Tue, 15 Oct 2013 21:41:17 GMT"
}
] | 2013-10-17T00:00:00 | [
[
"Brunton",
"B. W.",
""
],
[
"Brunton",
"S. L.",
""
],
[
"Proctor",
"J. L.",
""
],
[
"Kutz",
"J. N.",
""
]
] | TITLE: Optimal Sensor Placement and Enhanced Sparsity for Classification
ABSTRACT: The goal of compressive sensing is efficient reconstruction of data from few
measurements, sometimes leading to a categorical decision. If only
classification is required, reconstruction can be circumvented and the
measurements neede... |
1310.4321 | Alberto Maurizi | Alberto Maurizi and Francesco Tampieri | Some considerations on skewness and kurtosis of vertical velocity in the
convective boundary layer | null | null | null | null | physics.ao-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Data of skewness $S$ and kurtosis $K$ of vertical velocity in the convective
boundary layer from different datasets have been analysed. Vertical profiles of
$S$ were found to be grouped into two classes that display different slopes
with height: one is nearly constant and the other is increasing. This behaviour
can b... | [
{
"version": "v1",
"created": "Wed, 16 Oct 2013 10:25:46 GMT"
}
] | 2013-10-17T00:00:00 | [
[
"Maurizi",
"Alberto",
""
],
[
"Tampieri",
"Francesco",
""
]
] | TITLE: Some considerations on skewness and kurtosis of vertical velocity in the
convective boundary layer
ABSTRACT: Data of skewness $S$ and kurtosis $K$ of vertical velocity in the convective
boundary layer from different datasets have been analysed. Vertical profiles of
$S$ were found to be grouped into two cla... |
1310.3939 | Domenico Sacca' | Domenico Sacca', Edoardo Serra, Pietro Dicosta, Antonio Piccolo | Multi-Sorted Inverse Frequent Itemsets Mining | 14 pages | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The development of novel platforms and techniques for emerging "Big Data"
applications requires the availability of real-life datasets for data-driven
experiments, which are however out of reach for academic research in most cases
as they are typically proprietary. A possible solution is to use synthesized
datasets t... | [
{
"version": "v1",
"created": "Tue, 15 Oct 2013 07:38:36 GMT"
}
] | 2013-10-16T00:00:00 | [
[
"Sacca'",
"Domenico",
""
],
[
"Serra",
"Edoardo",
""
],
[
"Dicosta",
"Pietro",
""
],
[
"Piccolo",
"Antonio",
""
]
] | TITLE: Multi-Sorted Inverse Frequent Itemsets Mining
ABSTRACT: The development of novel platforms and techniques for emerging "Big Data"
applications requires the availability of real-life datasets for data-driven
experiments, which are however out of reach for academic research in most cases
as they are typically ... |
1310.4136 | Thiago S. F. X. Teixeira | Thiago S. F. X. Teixeira, George Teodoro, Eduardo Valle, Joel H. Saltz | Scalable Locality-Sensitive Hashing for Similarity Search in
High-Dimensional, Large-Scale Multimedia Datasets | null | null | null | null | cs.DC cs.DB cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Similarity search is critical for many database applications, including the
increasingly popular online services for Content-Based Multimedia Retrieval
(CBMR). These services, which include image search engines, must handle an
overwhelming volume of data, while keeping low response times. Thus,
scalability is imperat... | [
{
"version": "v1",
"created": "Tue, 15 Oct 2013 18:21:39 GMT"
}
] | 2013-10-16T00:00:00 | [
[
"Teixeira",
"Thiago S. F. X.",
""
],
[
"Teodoro",
"George",
""
],
[
"Valle",
"Eduardo",
""
],
[
"Saltz",
"Joel H.",
""
]
] | TITLE: Scalable Locality-Sensitive Hashing for Similarity Search in
High-Dimensional, Large-Scale Multimedia Datasets
ABSTRACT: Similarity search is critical for many database applications, including the
increasingly popular online services for Content-Based Multimedia Retrieval
(CBMR). These services, which incl... |
1310.3322 | Mohamed Elhoseiny Mohamed Elhoseiny | Mohamed Elhoseiny, Hossam Faheem, Taymour Nazmy, and Eman Shaaban | GPU-Framework for Teamwork Action Recognition | 7 pages | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Real time processing for teamwork action recognition is a challenge, due to
complex computational models to achieve high system performance. Hence, this
paper proposes a framework based on Graphical Processing Units (GPUs) to
achieve a significant speed up in the performance of role based activity
recognition of team... | [
{
"version": "v1",
"created": "Sat, 12 Oct 2013 01:16:32 GMT"
}
] | 2013-10-15T00:00:00 | [
[
"Elhoseiny",
"Mohamed",
""
],
[
"Faheem",
"Hossam",
""
],
[
"Nazmy",
"Taymour",
""
],
[
"Shaaban",
"Eman",
""
]
] | TITLE: GPU-Framework for Teamwork Action Recognition
ABSTRACT: Real time processing for teamwork action recognition is a challenge, due to
complex computational models to achieve high system performance. Hence, this
paper proposes a framework based on Graphical Processing Units (GPUs) to
achieve a significant speed... |
1310.3353 | Gunnar W. Klau | Thomas Bellitto and Tobias Marschall and Alexander Sch\"onhuth and
Gunnar W. Klau | Next Generation Cluster Editing | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work aims at improving the quality of structural variant prediction from
the mapped reads of a sequenced genome. We suggest a new model based on cluster
editing in weighted graphs and introduce a new heuristic algorithm that allows
to solve this problem quickly and with a good approximation on the huge graphs
th... | [
{
"version": "v1",
"created": "Sat, 12 Oct 2013 09:34:30 GMT"
}
] | 2013-10-15T00:00:00 | [
[
"Bellitto",
"Thomas",
""
],
[
"Marschall",
"Tobias",
""
],
[
"Schönhuth",
"Alexander",
""
],
[
"Klau",
"Gunnar W.",
""
]
] | TITLE: Next Generation Cluster Editing
ABSTRACT: This work aims at improving the quality of structural variant prediction from
the mapped reads of a sequenced genome. We suggest a new model based on cluster
editing in weighted graphs and introduce a new heuristic algorithm that allows
to solve this problem quickly ... |
1310.3498 | Dirk Helbing | Dirk Helbing | New Ways to Promote Sustainability and Social Well-Being in a Complex,
Strongly Interdependent World: The FuturICT Approach | For related work see http://www.soms.ethz.ch and
http://www.futurict.eu | This is the Epilogue of the Booklet by P. Ball, Why Society is a
Complex Matter (Springer, Berlin, 2012), pp. 55-60 | null | null | cs.CY physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | FuturICT is one of six proposals currently being considered for support
within the European Commission's Flagship Initiative (see Box 1). The vision of
the FuturICT project is to develop new science and new information and
communication systems that will promote social self-organization,
self-regulation, well-being, ... | [
{
"version": "v1",
"created": "Sun, 13 Oct 2013 18:03:36 GMT"
}
] | 2013-10-15T00:00:00 | [
[
"Helbing",
"Dirk",
""
]
] | TITLE: New Ways to Promote Sustainability and Social Well-Being in a Complex,
Strongly Interdependent World: The FuturICT Approach
ABSTRACT: FuturICT is one of six proposals currently being considered for support
within the European Commission's Flagship Initiative (see Box 1). The vision of
the FuturICT project ... |
1310.3805 | Chiranjib Sur | Chiranjib Sur, Anupam Shukla | Green Heron Swarm Optimization Algorithm - State-of-the-Art of a New
Nature Inspired Discrete Meta-Heuristics | 20 pages, Pre-print copy, submitted to a peer reviewed journal | null | null | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many real world problems are NP-Hard problems are a very large part of them
can be represented as graph based problems. This makes graph theory a very
important and prevalent field of study. In this work a new bio-inspired
meta-heuristics called Green Heron Swarm Optimization (GHOSA) Algorithm is
being introduced whi... | [
{
"version": "v1",
"created": "Mon, 14 Oct 2013 19:42:26 GMT"
}
] | 2013-10-15T00:00:00 | [
[
"Sur",
"Chiranjib",
""
],
[
"Shukla",
"Anupam",
""
]
] | TITLE: Green Heron Swarm Optimization Algorithm - State-of-the-Art of a New
Nature Inspired Discrete Meta-Heuristics
ABSTRACT: Many real world problems are NP-Hard problems are a very large part of them
can be represented as graph based problems. This makes graph theory a very
important and prevalent field of stu... |
1310.3073 | Teresa Scholz | Teresa Scholz, Vitor V. Lopes, Ana Estanqueiro | A cyclic time-dependent Markov process to model daily patterns in wind
turbine power production | null | null | null | null | physics.data-an stat.AP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Wind energy is becoming a top contributor to the renewable energy mix, which
raises potential reliability issues for the grid due to the fluctuating nature
of its source. To achieve adequate reserve commitment and to promote market
participation, it is necessary to provide models that can capture daily
patterns in wi... | [
{
"version": "v1",
"created": "Fri, 11 Oct 2013 10:13:43 GMT"
}
] | 2013-10-14T00:00:00 | [
[
"Scholz",
"Teresa",
""
],
[
"Lopes",
"Vitor V.",
""
],
[
"Estanqueiro",
"Ana",
""
]
] | TITLE: A cyclic time-dependent Markov process to model daily patterns in wind
turbine power production
ABSTRACT: Wind energy is becoming a top contributor to the renewable energy mix, which
raises potential reliability issues for the grid due to the fluctuating nature
of its source. To achieve adequate reserve co... |
1310.3197 | Yaniv Erlich | Yaniv Erlich and Arvind Narayanan | Routes for breaching and protecting genetic privacy | Draft for comments | null | null | null | q-bio.GN cs.CR stat.AP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We are entering the era of ubiquitous genetic information for research,
clinical care, and personal curiosity. Sharing these datasets is vital for
rapid progress in understanding the genetic basis of human diseases. However,
one growing concern is the ability to protect the genetic privacy of the data
originators. He... | [
{
"version": "v1",
"created": "Fri, 11 Oct 2013 17:02:54 GMT"
}
] | 2013-10-14T00:00:00 | [
[
"Erlich",
"Yaniv",
""
],
[
"Narayanan",
"Arvind",
""
]
] | TITLE: Routes for breaching and protecting genetic privacy
ABSTRACT: We are entering the era of ubiquitous genetic information for research,
clinical care, and personal curiosity. Sharing these datasets is vital for
rapid progress in understanding the genetic basis of human diseases. However,
one growing concern is... |
1310.3233 | ANqi Qiu DR | Jia Du, Alvina Goh, Anqi Qiu | Bayesian Estimation of White Matter Atlas from High Angular Resolution
Diffusion Imaging | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a Bayesian probabilistic model to estimate the brain white matter
atlas from high angular resolution diffusion imaging (HARDI) data. This model
incorporates a shape prior of the white matter anatomy and the likelihood of
individual observed HARDI datasets. We first assume that the atlas is generated
from a... | [
{
"version": "v1",
"created": "Thu, 10 Oct 2013 00:32:01 GMT"
}
] | 2013-10-14T00:00:00 | [
[
"Du",
"Jia",
""
],
[
"Goh",
"Alvina",
""
],
[
"Qiu",
"Anqi",
""
]
] | TITLE: Bayesian Estimation of White Matter Atlas from High Angular Resolution
Diffusion Imaging
ABSTRACT: We present a Bayesian probabilistic model to estimate the brain white matter
atlas from high angular resolution diffusion imaging (HARDI) data. This model
incorporates a shape prior of the white matter anatom... |
1310.2646 | Akshay Gadde | Sunil K. Narang, Akshay Gadde, Eduard Sanou and Antonio Ortega | Localized Iterative Methods for Interpolation in Graph Structured Data | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we present two localized graph filtering based methods for
interpolating graph signals defined on the vertices of arbitrary graphs from
only a partial set of samples. The first method is an extension of previous
work on reconstructing bandlimited graph signals from partially observed
samples. The itera... | [
{
"version": "v1",
"created": "Wed, 9 Oct 2013 22:24:28 GMT"
}
] | 2013-10-11T00:00:00 | [
[
"Narang",
"Sunil K.",
""
],
[
"Gadde",
"Akshay",
""
],
[
"Sanou",
"Eduard",
""
],
[
"Ortega",
"Antonio",
""
]
] | TITLE: Localized Iterative Methods for Interpolation in Graph Structured Data
ABSTRACT: In this paper, we present two localized graph filtering based methods for
interpolating graph signals defined on the vertices of arbitrary graphs from
only a partial set of samples. The first method is an extension of previous
w... |
1310.2409 | Ning Chen | Ning Chen, Jun Zhu, Fei Xia, Bo Zhang | Discriminative Relational Topic Models | null | null | null | null | cs.LG cs.IR stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many scientific and engineering fields involve analyzing network data. For
document networks, relational topic models (RTMs) provide a probabilistic
generative process to describe both the link structure and document contents,
and they have shown promise on predicting network structures and discovering
latent topic r... | [
{
"version": "v1",
"created": "Wed, 9 Oct 2013 09:32:56 GMT"
}
] | 2013-10-10T00:00:00 | [
[
"Chen",
"Ning",
""
],
[
"Zhu",
"Jun",
""
],
[
"Xia",
"Fei",
""
],
[
"Zhang",
"Bo",
""
]
] | TITLE: Discriminative Relational Topic Models
ABSTRACT: Many scientific and engineering fields involve analyzing network data. For
document networks, relational topic models (RTMs) provide a probabilistic
generative process to describe both the link structure and document contents,
and they have shown promise on pr... |
1310.2053 | Kai Berger | Kai Berger | The role of RGB-D benchmark datasets: an overview | 6 pages | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The advent of the Microsoft Kinect three years ago stimulated not only the
computer vision community for new algorithms and setups to tackle well-known
problems in the community but also sparked the launch of several new benchmark
datasets to which future algorithms can be compared 019 to. This review of the
literatu... | [
{
"version": "v1",
"created": "Tue, 8 Oct 2013 09:16:56 GMT"
}
] | 2013-10-09T00:00:00 | [
[
"Berger",
"Kai",
""
]
] | TITLE: The role of RGB-D benchmark datasets: an overview
ABSTRACT: The advent of the Microsoft Kinect three years ago stimulated not only the
computer vision community for new algorithms and setups to tackle well-known
problems in the community but also sparked the launch of several new benchmark
datasets to which ... |
1310.1498 | Nikolas Landia | Nikolas Landia, Stephan Doerfel, Robert J\"aschke, Sarabjot Singh
Anand, Andreas Hotho and Nathan Griffiths | Deeper Into the Folksonomy Graph: FolkRank Adaptations and Extensions
for Improved Tag Recommendations | null | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The information contained in social tagging systems is often modelled as a
graph of connections between users, items and tags. Recommendation algorithms
such as FolkRank, have the potential to leverage complex relationships in the
data, corresponding to multiple hops in the graph. We present an in-depth
analysis and ... | [
{
"version": "v1",
"created": "Sat, 5 Oct 2013 17:27:42 GMT"
}
] | 2013-10-08T00:00:00 | [
[
"Landia",
"Nikolas",
""
],
[
"Doerfel",
"Stephan",
""
],
[
"Jäschke",
"Robert",
""
],
[
"Anand",
"Sarabjot Singh",
""
],
[
"Hotho",
"Andreas",
""
],
[
"Griffiths",
"Nathan",
""
]
] | TITLE: Deeper Into the Folksonomy Graph: FolkRank Adaptations and Extensions
for Improved Tag Recommendations
ABSTRACT: The information contained in social tagging systems is often modelled as a
graph of connections between users, items and tags. Recommendation algorithms
such as FolkRank, have the potential to l... |
1310.1545 | Xuhui Fan | Xuhui Fan, Richard Yi Da Xu, Longbing Cao, Yin Song | Learning Hidden Structures with Relational Models by Adequately
Involving Rich Information in A Network | null | null | null | null | cs.LG cs.SI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Effectively modelling hidden structures in a network is very practical but
theoretically challenging. Existing relational models only involve very limited
information, namely the binary directional link data, embedded in a network to
learn hidden networking structures. There is other rich and meaningful
information (... | [
{
"version": "v1",
"created": "Sun, 6 Oct 2013 05:47:50 GMT"
}
] | 2013-10-08T00:00:00 | [
[
"Fan",
"Xuhui",
""
],
[
"Da Xu",
"Richard Yi",
""
],
[
"Cao",
"Longbing",
""
],
[
"Song",
"Yin",
""
]
] | TITLE: Learning Hidden Structures with Relational Models by Adequately
Involving Rich Information in A Network
ABSTRACT: Effectively modelling hidden structures in a network is very practical but
theoretically challenging. Existing relational models only involve very limited
information, namely the binary directi... |
1310.1597 | Mengqiu Wang | Mengqiu Wang and Christopher D. Manning | Cross-lingual Pseudo-Projected Expectation Regularization for Weakly
Supervised Learning | null | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider a multilingual weakly supervised learning scenario where
knowledge from annotated corpora in a resource-rich language is transferred via
bitext to guide the learning in other languages. Past approaches project labels
across bitext and use them as features or gold labels for training. We propose
a new meth... | [
{
"version": "v1",
"created": "Sun, 6 Oct 2013 16:34:30 GMT"
}
] | 2013-10-08T00:00:00 | [
[
"Wang",
"Mengqiu",
""
],
[
"Manning",
"Christopher D.",
""
]
] | TITLE: Cross-lingual Pseudo-Projected Expectation Regularization for Weakly
Supervised Learning
ABSTRACT: We consider a multilingual weakly supervised learning scenario where
knowledge from annotated corpora in a resource-rich language is transferred via
bitext to guide the learning in other languages. Past appro... |
1310.1811 | Ouais Alsharif | Ouais Alsharif and Joelle Pineau | End-to-End Text Recognition with Hybrid HMM Maxout Models | 9 pages, 7 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The problem of detecting and recognizing text in natural scenes has proved to
be more challenging than its counterpart in documents, with most of the
previous work focusing on a single part of the problem. In this work, we
propose new solutions to the character and word recognition problems and then
show how to combi... | [
{
"version": "v1",
"created": "Mon, 7 Oct 2013 15:08:53 GMT"
}
] | 2013-10-08T00:00:00 | [
[
"Alsharif",
"Ouais",
""
],
[
"Pineau",
"Joelle",
""
]
] | TITLE: End-to-End Text Recognition with Hybrid HMM Maxout Models
ABSTRACT: The problem of detecting and recognizing text in natural scenes has proved to
be more challenging than its counterpart in documents, with most of the
previous work focusing on a single part of the problem. In this work, we
propose new soluti... |
1304.0786 | Sameet Sreenivasan | Sameet Sreenivasan | Quantitative analysis of the evolution of novelty in cinema through
crowdsourced keywords | 23 pages, 12 figures (including supplementary material) | Scientific Reports 3, Article number: 2758 (2013) | 10.1038/srep02758 | null | physics.soc-ph cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The generation of novelty is central to any creative endeavor. Novelty
generation and the relationship between novelty and individual hedonic value
have long been subjects of study in social psychology. However, few studies
have utilized large-scale datasets to quantitatively investigate these issues.
Here we conside... | [
{
"version": "v1",
"created": "Tue, 2 Apr 2013 20:14:54 GMT"
},
{
"version": "v2",
"created": "Fri, 5 Jul 2013 12:00:21 GMT"
},
{
"version": "v3",
"created": "Fri, 4 Oct 2013 17:03:22 GMT"
}
] | 2013-10-07T00:00:00 | [
[
"Sreenivasan",
"Sameet",
""
]
] | TITLE: Quantitative analysis of the evolution of novelty in cinema through
crowdsourced keywords
ABSTRACT: The generation of novelty is central to any creative endeavor. Novelty
generation and the relationship between novelty and individual hedonic value
have long been subjects of study in social psychology. Howe... |
1310.0883 | Srikumar Venugopal | Freddie Sunarso, Srikumar Venugopal and Federico Lauro | Scalable Protein Sequence Similarity Search using Locality-Sensitive
Hashing and MapReduce | null | null | null | UNSW CSE TR 201325 | cs.DC cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Metagenomics is the study of environments through genetic sampling of their
microbiota. Metagenomic studies produce large datasets that are estimated to
grow at a faster rate than the available computational capacity. A key step in
the study of metagenome data is sequence similarity searching which is
computationally... | [
{
"version": "v1",
"created": "Thu, 3 Oct 2013 03:11:06 GMT"
}
] | 2013-10-04T00:00:00 | [
[
"Sunarso",
"Freddie",
""
],
[
"Venugopal",
"Srikumar",
""
],
[
"Lauro",
"Federico",
""
]
] | TITLE: Scalable Protein Sequence Similarity Search using Locality-Sensitive
Hashing and MapReduce
ABSTRACT: Metagenomics is the study of environments through genetic sampling of their
microbiota. Metagenomic studies produce large datasets that are estimated to
grow at a faster rate than the available computationa... |
1310.0894 | Richard Chow | Richard Chow, Hongxia Jin, Bart Knijnenburg, Gokay Saldamli | Differential Data Analysis for Recommender Systems | Extended version of RecSys 2013 paper | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present techniques to characterize which data is important to a
recommender system and which is not. Important data is data that contributes
most to the accuracy of the recommendation algorithm, while less important data
contributes less to the accuracy or even decreases it. Characterizing the
importance of data h... | [
{
"version": "v1",
"created": "Thu, 3 Oct 2013 04:47:47 GMT"
}
] | 2013-10-04T00:00:00 | [
[
"Chow",
"Richard",
""
],
[
"Jin",
"Hongxia",
""
],
[
"Knijnenburg",
"Bart",
""
],
[
"Saldamli",
"Gokay",
""
]
] | TITLE: Differential Data Analysis for Recommender Systems
ABSTRACT: We present techniques to characterize which data is important to a
recommender system and which is not. Important data is data that contributes
most to the accuracy of the recommendation algorithm, while less important data
contributes less to the ... |
1309.5275 | Dan Stowell | Dan Stowell and Mark D. Plumbley | An open dataset for research on audio field recording archives:
freefield1010 | null | null | null | null | cs.SD cs.DL | http://creativecommons.org/licenses/by/3.0/ | We introduce a free and open dataset of 7690 audio clips sampled from the
field-recording tag in the Freesound audio archive. The dataset is designed for
use in research related to data mining in audio archives of field recordings /
soundscapes. Audio is standardised, and audio and metadata are Creative Commons
licen... | [
{
"version": "v1",
"created": "Fri, 20 Sep 2013 14:12:04 GMT"
},
{
"version": "v2",
"created": "Tue, 1 Oct 2013 21:29:13 GMT"
}
] | 2013-10-03T00:00:00 | [
[
"Stowell",
"Dan",
""
],
[
"Plumbley",
"Mark D.",
""
]
] | TITLE: An open dataset for research on audio field recording archives:
freefield1010
ABSTRACT: We introduce a free and open dataset of 7690 audio clips sampled from the
field-recording tag in the Freesound audio archive. The dataset is designed for
use in research related to data mining in audio archives of field... |
1310.0505 | Haiyan Wang | Haiyan Wang, Feng Wang, Kuai Xu | Modeling Information Diffusion in Online Social Networks with Partial
Differential Equations | null | null | null | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Online social networks such as Twitter and Facebook have gained tremendous
popularity for information exchange. The availability of unprecedented amounts
of digital data has accelerated research on information diffusion in online
social networks. However, the mechanism of information spreading in online
social networ... | [
{
"version": "v1",
"created": "Tue, 1 Oct 2013 22:17:30 GMT"
}
] | 2013-10-03T00:00:00 | [
[
"Wang",
"Haiyan",
""
],
[
"Wang",
"Feng",
""
],
[
"Xu",
"Kuai",
""
]
] | TITLE: Modeling Information Diffusion in Online Social Networks with Partial
Differential Equations
ABSTRACT: Online social networks such as Twitter and Facebook have gained tremendous
popularity for information exchange. The availability of unprecedented amounts
of digital data has accelerated research on inform... |
1206.2038 | Tien Tuan Anh Dinh | Dinh Tien Tuan Anh, Quach Vinh Thanh, Anwitaman Datta | CloudMine: Multi-Party Privacy-Preserving Data Analytics Service | null | null | null | null | cs.CR cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An increasing number of businesses are replacing their data storage and
computation infrastructure with cloud services. Likewise, there is an increased
emphasis on performing analytics based on multiple datasets obtained from
different data sources. While ensuring security of data and computation
outsourced to a thir... | [
{
"version": "v1",
"created": "Sun, 10 Jun 2012 16:27:48 GMT"
},
{
"version": "v2",
"created": "Tue, 1 Oct 2013 05:14:19 GMT"
}
] | 2013-10-02T00:00:00 | [
[
"Anh",
"Dinh Tien Tuan",
""
],
[
"Thanh",
"Quach Vinh",
""
],
[
"Datta",
"Anwitaman",
""
]
] | TITLE: CloudMine: Multi-Party Privacy-Preserving Data Analytics Service
ABSTRACT: An increasing number of businesses are replacing their data storage and
computation infrastructure with cloud services. Likewise, there is an increased
emphasis on performing analytics based on multiple datasets obtained from
differen... |
1309.7512 | Alexander Fix | Alexander Fix and Thorsten Joachims and Sam Park and Ramin Zabih | Structured learning of sum-of-submodular higher order energy functions | null | null | null | null | cs.CV cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Submodular functions can be exactly minimized in polynomial time, and the
special case that graph cuts solve with max flow \cite{KZ:PAMI04} has had
significant impact in computer vision
\cite{BVZ:PAMI01,Kwatra:SIGGRAPH03,Rother:GrabCut04}. In this paper we address
the important class of sum-of-submodular (SoS) functi... | [
{
"version": "v1",
"created": "Sat, 28 Sep 2013 23:55:01 GMT"
},
{
"version": "v2",
"created": "Tue, 1 Oct 2013 02:45:20 GMT"
}
] | 2013-10-02T00:00:00 | [
[
"Fix",
"Alexander",
""
],
[
"Joachims",
"Thorsten",
""
],
[
"Park",
"Sam",
""
],
[
"Zabih",
"Ramin",
""
]
] | TITLE: Structured learning of sum-of-submodular higher order energy functions
ABSTRACT: Submodular functions can be exactly minimized in polynomial time, and the
special case that graph cuts solve with max flow \cite{KZ:PAMI04} has had
significant impact in computer vision
\cite{BVZ:PAMI01,Kwatra:SIGGRAPH03,Rother:... |
1310.0266 | Benjamin Laken | Benjamin A. Laken and Ja\v{s}a \v{C}alogovi\'c | Composite analysis with Monte Carlo methods: an example with cosmic rays
and clouds | 13 pages, 9 figures | Journal of Space Weather Space Climate, 3(A29) | 10.1051/swsc2013051 | null | physics.ao-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The composite (superposed epoch) analysis technique has been frequently
employed to examine a hypothesized link between solar activity and the Earth's
atmosphere, often through an investigation of Forbush decrease (Fd) events
(sudden high-magnitude decreases in the flux cosmic rays impinging on the
upper-atmosphere l... | [
{
"version": "v1",
"created": "Tue, 1 Oct 2013 12:29:06 GMT"
}
] | 2013-10-02T00:00:00 | [
[
"Laken",
"Benjamin A.",
""
],
[
"Čalogović",
"Jaša",
""
]
] | TITLE: Composite analysis with Monte Carlo methods: an example with cosmic rays
and clouds
ABSTRACT: The composite (superposed epoch) analysis technique has been frequently
employed to examine a hypothesized link between solar activity and the Earth's
atmosphere, often through an investigation of Forbush decrease... |
1310.0308 | Tomislav Petkovi\'c | Karla Brki\'c, Sr{\dj}an Ra\v{s}i\'c, Axel Pinz, Sini\v{s}a
\v{S}egvi\'c and Zoran Kalafati\'c | Combining Spatio-Temporal Appearance Descriptors and Optical Flow for
Human Action Recognition in Video Data | Part of the Proceedings of the Croatian Computer Vision Workshop,
CCVW 2013, Year 1 | null | null | UniZg-CRV-CCVW/2013/0011 | cs.CV | http://creativecommons.org/licenses/by-nc-sa/3.0/ | This paper proposes combining spatio-temporal appearance (STA) descriptors
with optical flow for human action recognition. The STA descriptors are local
histogram-based descriptors of space-time, suitable for building a partial
representation of arbitrary spatio-temporal phenomena. Because of the
possibility of itera... | [
{
"version": "v1",
"created": "Tue, 1 Oct 2013 14:13:40 GMT"
}
] | 2013-10-02T00:00:00 | [
[
"Brkić",
"Karla",
""
],
[
"Rašić",
"Srđan",
""
],
[
"Pinz",
"Axel",
""
],
[
"Šegvić",
"Siniša",
""
],
[
"Kalafatić",
"Zoran",
""
]
] | TITLE: Combining Spatio-Temporal Appearance Descriptors and Optical Flow for
Human Action Recognition in Video Data
ABSTRACT: This paper proposes combining spatio-temporal appearance (STA) descriptors
with optical flow for human action recognition. The STA descriptors are local
histogram-based descriptors of spac... |
1310.0310 | Tomislav Petkovi\'c | Ivan Kre\v{s}o, Marko \v{S}evrovi\'c and Sini\v{s}a \v{S}egvi\'c | A Novel Georeferenced Dataset for Stereo Visual Odometry | Part of the Proceedings of the Croatian Computer Vision Workshop,
CCVW 2013, Year 1 | null | null | UniZg-CRV-CCVW/2013/0017 | cs.CV | http://creativecommons.org/licenses/by-nc-sa/3.0/ | In this work, we present a novel dataset for assessing the accuracy of stereo
visual odometry. The dataset has been acquired by a small-baseline stereo rig
mounted on the top of a moving car. The groundtruth is supplied by a consumer
grade GPS device without IMU. Synchronization and alignment between GPS
readings and... | [
{
"version": "v1",
"created": "Tue, 1 Oct 2013 14:15:48 GMT"
}
] | 2013-10-02T00:00:00 | [
[
"Krešo",
"Ivan",
""
],
[
"Ševrović",
"Marko",
""
],
[
"Šegvić",
"Siniša",
""
]
] | TITLE: A Novel Georeferenced Dataset for Stereo Visual Odometry
ABSTRACT: In this work, we present a novel dataset for assessing the accuracy of stereo
visual odometry. The dataset has been acquired by a small-baseline stereo rig
mounted on the top of a moving car. The groundtruth is supplied by a consumer
grade GP... |
1310.0316 | Tomislav Petkovi\'c | Ivan Sikiri\'c, Karla Brki\'c and Sini\v{s}a \v{S}egvi\'c | Classifying Traffic Scenes Using The GIST Image Descriptor | Part of the Proceedings of the Croatian Computer Vision Workshop,
CCVW 2013, Year 1 | null | null | UniZg-CRV-CCVW/2013/0013 | cs.CV | http://creativecommons.org/licenses/by-nc-sa/3.0/ | This paper investigates classification of traffic scenes in a very low
bandwidth scenario, where an image should be coded by a small number of
features. We introduce a novel dataset, called the FM1 dataset, consisting of
5615 images of eight different traffic scenes: open highway, open road,
settlement, tunnel, tunne... | [
{
"version": "v1",
"created": "Tue, 1 Oct 2013 14:19:26 GMT"
}
] | 2013-10-02T00:00:00 | [
[
"Sikirić",
"Ivan",
""
],
[
"Brkić",
"Karla",
""
],
[
"Šegvić",
"Siniša",
""
]
] | TITLE: Classifying Traffic Scenes Using The GIST Image Descriptor
ABSTRACT: This paper investigates classification of traffic scenes in a very low
bandwidth scenario, where an image should be coded by a small number of
features. We introduce a novel dataset, called the FM1 dataset, consisting of
5615 images of eigh... |
1211.4909 | Benyuan Liu | Benyuan Liu, Zhilin Zhang, Hongqi Fan, Qiang Fu | Fast Marginalized Block Sparse Bayesian Learning Algorithm | null | null | null | null | cs.IT cs.LG math.IT stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The performance of sparse signal recovery from noise corrupted,
underdetermined measurements can be improved if both sparsity and correlation
structure of signals are exploited. One typical correlation structure is the
intra-block correlation in block sparse signals. To exploit this structure, a
framework, called blo... | [
{
"version": "v1",
"created": "Wed, 21 Nov 2012 01:06:49 GMT"
},
{
"version": "v2",
"created": "Thu, 29 Nov 2012 01:24:49 GMT"
},
{
"version": "v3",
"created": "Fri, 18 Jan 2013 02:28:09 GMT"
},
{
"version": "v4",
"created": "Tue, 22 Jan 2013 01:51:17 GMT"
},
{
"v... | 2013-10-01T00:00:00 | [
[
"Liu",
"Benyuan",
""
],
[
"Zhang",
"Zhilin",
""
],
[
"Fan",
"Hongqi",
""
],
[
"Fu",
"Qiang",
""
]
] | TITLE: Fast Marginalized Block Sparse Bayesian Learning Algorithm
ABSTRACT: The performance of sparse signal recovery from noise corrupted,
underdetermined measurements can be improved if both sparsity and correlation
structure of signals are exploited. One typical correlation structure is the
intra-block correlati... |
1301.7619 | Gonzalo Mateos | Juan Andres Bazerque, Gonzalo Mateos, and Georgios B. Giannakis | Rank regularization and Bayesian inference for tensor completion and
extrapolation | 12 pages, submitted to IEEE Transactions on Signal Processing | null | 10.1109/TSP.2013.2278516 | null | cs.IT cs.LG math.IT stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A novel regularizer of the PARAFAC decomposition factors capturing the
tensor's rank is proposed in this paper, as the key enabler for completion of
three-way data arrays with missing entries. Set in a Bayesian framework, the
tensor completion method incorporates prior information to enhance its
smoothing and predict... | [
{
"version": "v1",
"created": "Thu, 31 Jan 2013 14:17:28 GMT"
}
] | 2013-10-01T00:00:00 | [
[
"Bazerque",
"Juan Andres",
""
],
[
"Mateos",
"Gonzalo",
""
],
[
"Giannakis",
"Georgios B.",
""
]
] | TITLE: Rank regularization and Bayesian inference for tensor completion and
extrapolation
ABSTRACT: A novel regularizer of the PARAFAC decomposition factors capturing the
tensor's rank is proposed in this paper, as the key enabler for completion of
three-way data arrays with missing entries. Set in a Bayesian fra... |
1309.5594 | Chunhua Shen | Fumin Shen and Chunhua Shen | Generic Image Classification Approaches Excel on Face Recognition | 10 pages | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The main finding of this work is that the standard image classification
pipeline, which consists of dictionary learning, feature encoding, spatial
pyramid pooling and linear classification, outperforms all state-of-the-art
face recognition methods on the tested benchmark datasets (we have tested on
AR, Extended Yale ... | [
{
"version": "v1",
"created": "Sun, 22 Sep 2013 11:52:03 GMT"
},
{
"version": "v2",
"created": "Mon, 30 Sep 2013 03:23:36 GMT"
}
] | 2013-10-01T00:00:00 | [
[
"Shen",
"Fumin",
""
],
[
"Shen",
"Chunhua",
""
]
] | TITLE: Generic Image Classification Approaches Excel on Face Recognition
ABSTRACT: The main finding of this work is that the standard image classification
pipeline, which consists of dictionary learning, feature encoding, spatial
pyramid pooling and linear classification, outperforms all state-of-the-art
face recog... |
1309.7434 | Omar Oreifej | Dong Zhang, Omar Oreifej, Mubarak Shah | Face Verification Using Boosted Cross-Image Features | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes a new approach for face verification, where a pair of
images needs to be classified as belonging to the same person or not. This
problem is relatively new and not well-explored in the literature. Current
methods mostly adopt techniques borrowed from face recognition, and process
each of the images... | [
{
"version": "v1",
"created": "Sat, 28 Sep 2013 06:21:18 GMT"
}
] | 2013-10-01T00:00:00 | [
[
"Zhang",
"Dong",
""
],
[
"Oreifej",
"Omar",
""
],
[
"Shah",
"Mubarak",
""
]
] | TITLE: Face Verification Using Boosted Cross-Image Features
ABSTRACT: This paper proposes a new approach for face verification, where a pair of
images needs to be classified as belonging to the same person or not. This
problem is relatively new and not well-explored in the literature. Current
methods mostly adopt t... |
1309.7484 | Junzhou Chen | Chen Junzhou, Li Qing, Peng Qiang and Kin Hong Wong | CSIFT Based Locality-constrained Linear Coding for Image Classification | 9 pages, 5 figures | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/3.0/ | In the past decade, SIFT descriptor has been witnessed as one of the most
robust local invariant feature descriptors and widely used in various vision
tasks. Most traditional image classification systems depend on the
luminance-based SIFT descriptors, which only analyze the gray level variations
of the images. Miscla... | [
{
"version": "v1",
"created": "Sat, 28 Sep 2013 18:05:12 GMT"
}
] | 2013-10-01T00:00:00 | [
[
"Junzhou",
"Chen",
""
],
[
"Qing",
"Li",
""
],
[
"Qiang",
"Peng",
""
],
[
"Wong",
"Kin Hong",
""
]
] | TITLE: CSIFT Based Locality-constrained Linear Coding for Image Classification
ABSTRACT: In the past decade, SIFT descriptor has been witnessed as one of the most
robust local invariant feature descriptors and widely used in various vision
tasks. Most traditional image classification systems depend on the
luminance... |
1309.7517 | Modou Gueye M. | Modou Gueye and Talel Abdessalem and Hubert Naacke | Improving tag recommendation by folding in more consistency | 14 pages | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Tag recommendation is a major aspect of collaborative tagging systems. It
aims to recommend tags to a user for tagging an item. In this paper we present
a part of our work in progress which is a novel improvement of recommendations
by re-ranking the output of a tag recommender. We mine association rules
between candi... | [
{
"version": "v1",
"created": "Sun, 29 Sep 2013 01:43:40 GMT"
}
] | 2013-10-01T00:00:00 | [
[
"Gueye",
"Modou",
""
],
[
"Abdessalem",
"Talel",
""
],
[
"Naacke",
"Hubert",
""
]
] | TITLE: Improving tag recommendation by folding in more consistency
ABSTRACT: Tag recommendation is a major aspect of collaborative tagging systems. It
aims to recommend tags to a user for tagging an item. In this paper we present
a part of our work in progress which is a novel improvement of recommendations
by re-r... |
1309.7804 | Michael I. Jordan | Michael I. Jordan | On statistics, computation and scalability | Published in at http://dx.doi.org/10.3150/12-BEJSP17 the Bernoulli
(http://isi.cbs.nl/bernoulli/) by the International Statistical
Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm) | Bernoulli 2013, Vol. 19, No. 4, 1378-1390 | 10.3150/12-BEJSP17 | IMS-BEJ-BEJSP17 | stat.ML cs.LG math.ST stat.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | How should statistical procedures be designed so as to be scalable
computationally to the massive datasets that are increasingly the norm? When
coupled with the requirement that an answer to an inferential question be
delivered within a certain time budget, this question has significant
repercussions for the field of... | [
{
"version": "v1",
"created": "Mon, 30 Sep 2013 11:51:23 GMT"
}
] | 2013-10-01T00:00:00 | [
[
"Jordan",
"Michael I.",
""
]
] | TITLE: On statistics, computation and scalability
ABSTRACT: How should statistical procedures be designed so as to be scalable
computationally to the massive datasets that are increasingly the norm? When
coupled with the requirement that an answer to an inferential question be
delivered within a certain time budget... |
1309.7912 | Ricardo Fabbri | Mauro de Amorim, Ricardo Fabbri, Lucia Maria dos Santos Pinto and
Francisco Duarte Moura Neto | An Image-Based Fluid Surface Pattern Model | a reduced version in Portuguese appears in proceedings of the XVI EMC
- Computational Modeling Meeting (Encontro de Modelagem Computacional), 2013 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/3.0/ | This work aims at generating a model of the ocean surface and its dynamics
from one or more video cameras. The idea is to model wave patterns from video
as a first step towards a larger system of photogrammetric monitoring of marine
conditions for use in offshore oil drilling platforms. The first part of the
proposed... | [
{
"version": "v1",
"created": "Mon, 30 Sep 2013 16:39:21 GMT"
}
] | 2013-10-01T00:00:00 | [
[
"de Amorim",
"Mauro",
""
],
[
"Fabbri",
"Ricardo",
""
],
[
"Pinto",
"Lucia Maria dos Santos",
""
],
[
"Neto",
"Francisco Duarte Moura",
""
]
] | TITLE: An Image-Based Fluid Surface Pattern Model
ABSTRACT: This work aims at generating a model of the ocean surface and its dynamics
from one or more video cameras. The idea is to model wave patterns from video
as a first step towards a larger system of photogrammetric monitoring of marine
conditions for use in o... |
1309.7982 | Shou Chung Li scli | Zhung-Xun Liao, Shou-Chung Li, Wen-Chih Peng, Philip S Yu | On the Feature Discovery for App Usage Prediction in Smartphones | 10 pages, 17 figures, ICDM 2013 short paper | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the increasing number of mobile Apps developed, they are now closely
integrated into daily life. In this paper, we develop a framework to predict
mobile Apps that are most likely to be used regarding the current device status
of a smartphone. Such an Apps usage prediction framework is a crucial
prerequisite for ... | [
{
"version": "v1",
"created": "Thu, 26 Sep 2013 14:44:10 GMT"
}
] | 2013-10-01T00:00:00 | [
[
"Liao",
"Zhung-Xun",
""
],
[
"Li",
"Shou-Chung",
""
],
[
"Peng",
"Wen-Chih",
""
],
[
"Yu",
"Philip S",
""
]
] | TITLE: On the Feature Discovery for App Usage Prediction in Smartphones
ABSTRACT: With the increasing number of mobile Apps developed, they are now closely
integrated into daily life. In this paper, we develop a framework to predict
mobile Apps that are most likely to be used regarding the current device status
of ... |
1309.7266 | Ahmed Abbasi | Ahmed Abbasi, Siddharth Kaza and F. Mariam Zahedi | Evaluating Link-Based Techniques for Detecting Fake Pharmacy Websites | Abbasi, A., Kaza, S., and Zahedi, F. M. "Evaluating Link-Based
Techniques for Detecting Fake Pharmacy Websites," In Proceedings of the 19th
Annual Workshop on Information Technologies and Systems, Phoenix, Arizona,
December 14-15, 2009 | null | null | null | cs.CY cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Fake online pharmacies have become increasingly pervasive, constituting over
90% of online pharmacy websites. There is a need for fake website detection
techniques capable of identifying fake online pharmacy websites with a high
degree of accuracy. In this study, we compared several well-known link-based
detection te... | [
{
"version": "v1",
"created": "Fri, 27 Sep 2013 15:09:24 GMT"
}
] | 2013-09-30T00:00:00 | [
[
"Abbasi",
"Ahmed",
""
],
[
"Kaza",
"Siddharth",
""
],
[
"Zahedi",
"F. Mariam",
""
]
] | TITLE: Evaluating Link-Based Techniques for Detecting Fake Pharmacy Websites
ABSTRACT: Fake online pharmacies have become increasingly pervasive, constituting over
90% of online pharmacy websites. There is a need for fake website detection
techniques capable of identifying fake online pharmacy websites with a high
... |
1309.6691 | Chunhua Shen | Yao Li, Wenjing Jia, Chunhua Shen, Anton van den Hengel | Characterness: An Indicator of Text in the Wild | 11 pages; Appearing in IEEE Trans. on Image Processing | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Text in an image provides vital information for interpreting its contents,
and text in a scene can aide with a variety of tasks from navigation, to
obstacle avoidance, and odometry. Despite its value, however, identifying
general text in images remains a challenging research problem. Motivated by the
need to consider... | [
{
"version": "v1",
"created": "Wed, 25 Sep 2013 23:30:18 GMT"
}
] | 2013-09-27T00:00:00 | [
[
"Li",
"Yao",
""
],
[
"Jia",
"Wenjing",
""
],
[
"Shen",
"Chunhua",
""
],
[
"Hengel",
"Anton van den",
""
]
] | TITLE: Characterness: An Indicator of Text in the Wild
ABSTRACT: Text in an image provides vital information for interpreting its contents,
and text in a scene can aide with a variety of tasks from navigation, to
obstacle avoidance, and odometry. Despite its value, however, identifying
general text in images remain... |
1309.6722 | Duyu Tang | Tang Duyu, Qin Bing, Zhou LanJun, Wong KamFai, Zhao Yanyan, Liu Ting | Domain-Specific Sentiment Word Extraction by Seed Expansion and Pattern
Generation | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper focuses on the automatic extraction of domain-specific sentiment
word (DSSW), which is a fundamental subtask of sentiment analysis. Most
previous work utilizes manual patterns for this task. However, the performance
of those methods highly relies on the labelled patterns or selected seeds. In
order to over... | [
{
"version": "v1",
"created": "Thu, 26 Sep 2013 05:18:12 GMT"
}
] | 2013-09-27T00:00:00 | [
[
"Duyu",
"Tang",
""
],
[
"Bing",
"Qin",
""
],
[
"LanJun",
"Zhou",
""
],
[
"KamFai",
"Wong",
""
],
[
"Yanyan",
"Zhao",
""
],
[
"Ting",
"Liu",
""
]
] | TITLE: Domain-Specific Sentiment Word Extraction by Seed Expansion and Pattern
Generation
ABSTRACT: This paper focuses on the automatic extraction of domain-specific sentiment
word (DSSW), which is a fundamental subtask of sentiment analysis. Most
previous work utilizes manual patterns for this task. However, the... |
1309.6811 | Tameem Adel | Tameem Adel, Benn Smith, Ruth Urner, Daniel Stashuk, Daniel J. Lizotte | Generative Multiple-Instance Learning Models For Quantitative
Electromyography | Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty
in Artificial Intelligence (UAI2013) | null | null | UAI-P-2013-PG-2-11 | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a comprehensive study of the use of generative modeling approaches
for Multiple-Instance Learning (MIL) problems. In MIL a learner receives
training instances grouped together into bags with labels for the bags only
(which might not be correct for the comprised instances). Our work was
motivated by the tas... | [
{
"version": "v1",
"created": "Thu, 26 Sep 2013 12:26:53 GMT"
}
] | 2013-09-27T00:00:00 | [
[
"Adel",
"Tameem",
""
],
[
"Smith",
"Benn",
""
],
[
"Urner",
"Ruth",
""
],
[
"Stashuk",
"Daniel",
""
],
[
"Lizotte",
"Daniel J.",
""
]
] | TITLE: Generative Multiple-Instance Learning Models For Quantitative
Electromyography
ABSTRACT: We present a comprehensive study of the use of generative modeling approaches
for Multiple-Instance Learning (MIL) problems. In MIL a learner receives
training instances grouped together into bags with labels for the b... |
1309.6812 | Saeed Amizadeh | Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht | The Bregman Variational Dual-Tree Framework | Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty
in Artificial Intelligence (UAI2013) | null | null | UAI-P-2013-PG-22-31 | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph-based methods provide a powerful tool set for many non-parametric
frameworks in Machine Learning. In general, the memory and computational
complexity of these methods is quadratic in the number of examples in the data
which makes them quickly infeasible for moderate to large scale datasets. A
significant effort... | [
{
"version": "v1",
"created": "Thu, 26 Sep 2013 12:28:35 GMT"
}
] | 2013-09-27T00:00:00 | [
[
"Amizadeh",
"Saeed",
""
],
[
"Thiesson",
"Bo",
""
],
[
"Hauskrecht",
"Milos",
""
]
] | TITLE: The Bregman Variational Dual-Tree Framework
ABSTRACT: Graph-based methods provide a powerful tool set for many non-parametric
frameworks in Machine Learning. In general, the memory and computational
complexity of these methods is quadratic in the number of examples in the data
which makes them quickly infeas... |
1309.6829 | Qiang Fu | Qiang Fu, Huahua Wang, Arindam Banerjee | Bethe-ADMM for Tree Decomposition based Parallel MAP Inference | Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty
in Artificial Intelligence (UAI2013) | null | null | UAI-P-2013-PG-222-231 | cs.AI cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of maximum a posteriori (MAP) inference in discrete
graphical models. We present a parallel MAP inference algorithm called
Bethe-ADMM based on two ideas: tree-decomposition of the graph and the
alternating direction method of multipliers (ADMM). However, unlike the
standard ADMM, we use an ine... | [
{
"version": "v1",
"created": "Thu, 26 Sep 2013 12:38:09 GMT"
}
] | 2013-09-27T00:00:00 | [
[
"Fu",
"Qiang",
""
],
[
"Wang",
"Huahua",
""
],
[
"Banerjee",
"Arindam",
""
]
] | TITLE: Bethe-ADMM for Tree Decomposition based Parallel MAP Inference
ABSTRACT: We consider the problem of maximum a posteriori (MAP) inference in discrete
graphical models. We present a parallel MAP inference algorithm called
Bethe-ADMM based on two ideas: tree-decomposition of the graph and the
alternating direct... |
1309.6830 | Ravi Ganti | Ravi Ganti, Alexander G. Gray | Building Bridges: Viewing Active Learning from the Multi-Armed Bandit
Lens | Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty
in Artificial Intelligence (UAI2013) | null | null | UAI-P-2013-PG-232-241 | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we propose a multi-armed bandit inspired, pool based active
learning algorithm for the problem of binary classification. By carefully
constructing an analogy between active learning and multi-armed bandits, we
utilize ideas such as lower confidence bounds, and self-concordant
regularization from the mul... | [
{
"version": "v1",
"created": "Thu, 26 Sep 2013 12:39:01 GMT"
}
] | 2013-09-27T00:00:00 | [
[
"Ganti",
"Ravi",
""
],
[
"Gray",
"Alexander G.",
""
]
] | TITLE: Building Bridges: Viewing Active Learning from the Multi-Armed Bandit
Lens
ABSTRACT: In this paper we propose a multi-armed bandit inspired, pool based active
learning algorithm for the problem of binary classification. By carefully
constructing an analogy between active learning and multi-armed bandits, w... |
1309.6867 | Yaniv Tenzer | Yaniv Tenzer, Gal Elidan | Speedy Model Selection (SMS) for Copula Models | Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty
in Artificial Intelligence (UAI2013) | null | null | UAI-P-2013-PG-625-634 | cs.LG stat.ME | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We tackle the challenge of efficiently learning the structure of expressive
multivariate real-valued densities of copula graphical models. We start by
theoretically substantiating the conjecture that for many copula families the
magnitude of Spearman's rank correlation coefficient is monotone in the
expected contribu... | [
{
"version": "v1",
"created": "Thu, 26 Sep 2013 12:51:22 GMT"
}
] | 2013-09-27T00:00:00 | [
[
"Tenzer",
"Yaniv",
""
],
[
"Elidan",
"Gal",
""
]
] | TITLE: Speedy Model Selection (SMS) for Copula Models
ABSTRACT: We tackle the challenge of efficiently learning the structure of expressive
multivariate real-valued densities of copula graphical models. We start by
theoretically substantiating the conjecture that for many copula families the
magnitude of Spearman's... |
1309.6874 | Pengtao Xie | Pengtao Xie, Eric P. Xing | Integrating Document Clustering and Topic Modeling | Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty
in Artificial Intelligence (UAI2013) | null | null | UAI-P-2013-PG-694-703 | cs.LG cs.CL cs.IR stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Document clustering and topic modeling are two closely related tasks which
can mutually benefit each other. Topic modeling can project documents into a
topic space which facilitates effective document clustering. Cluster labels
discovered by document clustering can be incorporated into topic models to
extract local t... | [
{
"version": "v1",
"created": "Thu, 26 Sep 2013 12:54:02 GMT"
}
] | 2013-09-27T00:00:00 | [
[
"Xie",
"Pengtao",
""
],
[
"Xing",
"Eric P.",
""
]
] | TITLE: Integrating Document Clustering and Topic Modeling
ABSTRACT: Document clustering and topic modeling are two closely related tasks which
can mutually benefit each other. Topic modeling can project documents into a
topic space which facilitates effective document clustering. Cluster labels
discovered by docume... |
1309.6379 | ANqi Qiu DR | Jia Du, A. Pasha Hosseinbor, Moo K. Chung, Barbara B. Bendlin, Gaurav
Suryawanshi, Andrew L. Alexander, Anqi Qiu | Diffeomorphic Metric Mapping and Probabilistic Atlas Generation of
Hybrid Diffusion Imaging based on BFOR Signal Basis | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a large deformation diffeomorphic metric mapping algorithm to
align multiple b-value diffusion weighted imaging (mDWI) data, specifically
acquired via hybrid diffusion imaging (HYDI), denoted as LDDMM-HYDI. We then
propose a Bayesian model for estimating the white matter atlas from HYDIs. We
adopt the work... | [
{
"version": "v1",
"created": "Wed, 25 Sep 2013 01:57:50 GMT"
}
] | 2013-09-26T00:00:00 | [
[
"Du",
"Jia",
""
],
[
"Hosseinbor",
"A. Pasha",
""
],
[
"Chung",
"Moo K.",
""
],
[
"Bendlin",
"Barbara B.",
""
],
[
"Suryawanshi",
"Gaurav",
""
],
[
"Alexander",
"Andrew L.",
""
],
[
"Qiu",
"Anqi",
""
]
] | TITLE: Diffeomorphic Metric Mapping and Probabilistic Atlas Generation of
Hybrid Diffusion Imaging based on BFOR Signal Basis
ABSTRACT: We propose a large deformation diffeomorphic metric mapping algorithm to
align multiple b-value diffusion weighted imaging (mDWI) data, specifically
acquired via hybrid diffusion... |
1212.2044 | Gabriel Kronberger | Gabriel Kronberger, Stefan Fink, Michael Kommenda and Michael
Affenzeller | Macro-Economic Time Series Modeling and Interaction Networks | The original publication is available at
http://link.springer.com/chapter/10.1007/978-3-642-20520-0_11 | Applications of Evolutionary Computation, LNCS 6625 (Springer
Berlin Heidelberg), pp. 101-110 (2011) | 10.1007/978-3-642-20520-0_11 | null | cs.NE stat.AP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Macro-economic models describe the dynamics of economic quantities. The
estimations and forecasts produced by such models play a substantial role for
financial and political decisions. In this contribution we describe an approach
based on genetic programming and symbolic regression to identify variable
interactions i... | [
{
"version": "v1",
"created": "Mon, 10 Dec 2012 12:04:58 GMT"
},
{
"version": "v2",
"created": "Mon, 23 Sep 2013 16:58:12 GMT"
}
] | 2013-09-24T00:00:00 | [
[
"Kronberger",
"Gabriel",
""
],
[
"Fink",
"Stefan",
""
],
[
"Kommenda",
"Michael",
""
],
[
"Affenzeller",
"Michael",
""
]
] | TITLE: Macro-Economic Time Series Modeling and Interaction Networks
ABSTRACT: Macro-economic models describe the dynamics of economic quantities. The
estimations and forecasts produced by such models play a substantial role for
financial and political decisions. In this contribution we describe an approach
based on... |
1309.5427 | Gang Chen | Gang Chen | Latent Fisher Discriminant Analysis | 12 pages | null | null | null | cs.LG cs.CV stat.ML | http://creativecommons.org/licenses/by/3.0/ | Linear Discriminant Analysis (LDA) is a well-known method for dimensionality
reduction and classification. Previous studies have also extended the
binary-class case into multi-classes. However, many applications, such as
object detection and keyframe extraction cannot provide consistent
instance-label pairs, while LD... | [
{
"version": "v1",
"created": "Sat, 21 Sep 2013 03:42:04 GMT"
}
] | 2013-09-24T00:00:00 | [
[
"Chen",
"Gang",
""
]
] | TITLE: Latent Fisher Discriminant Analysis
ABSTRACT: Linear Discriminant Analysis (LDA) is a well-known method for dimensionality
reduction and classification. Previous studies have also extended the
binary-class case into multi-classes. However, many applications, such as
object detection and keyframe extraction c... |
1309.5657 | Tarek El-Shishtawy Ahmed | T.El-Shishtawy | A Hybrid Algorithm for Matching Arabic Names | null | International Journal of Computational Linguistics Research Volume
4 Number 2 June 2013 | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, a new hybrid algorithm which combines both of token-based and
character-based approaches is presented. The basic Levenshtein approach has
been extended to token-based distance metric. The distance metric is enhanced
to set the proper granularity level behavior of the algorithm. It smoothly maps
a thres... | [
{
"version": "v1",
"created": "Sun, 22 Sep 2013 22:06:26 GMT"
}
] | 2013-09-24T00:00:00 | [
[
"El-Shishtawy",
"T.",
""
]
] | TITLE: A Hybrid Algorithm for Matching Arabic Names
ABSTRACT: In this paper, a new hybrid algorithm which combines both of token-based and
character-based approaches is presented. The basic Levenshtein approach has
been extended to token-based distance metric. The distance metric is enhanced
to set the proper granu... |
1309.5843 | Marco Guerini | Marco Guerini, Lorenzo Gatti, Marco Turchi | Sentiment Analysis: How to Derive Prior Polarities from SentiWordNet | To appear in Proceedings of EMNLP 2013 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Assigning a positive or negative score to a word out of context (i.e. a
word's prior polarity) is a challenging task for sentiment analysis. In the
literature, various approaches based on SentiWordNet have been proposed. In
this paper, we compare the most often used techniques together with newly
proposed ones and in... | [
{
"version": "v1",
"created": "Mon, 23 Sep 2013 15:26:09 GMT"
}
] | 2013-09-24T00:00:00 | [
[
"Guerini",
"Marco",
""
],
[
"Gatti",
"Lorenzo",
""
],
[
"Turchi",
"Marco",
""
]
] | TITLE: Sentiment Analysis: How to Derive Prior Polarities from SentiWordNet
ABSTRACT: Assigning a positive or negative score to a word out of context (i.e. a
word's prior polarity) is a challenging task for sentiment analysis. In the
literature, various approaches based on SentiWordNet have been proposed. In
this p... |
1309.5931 | Gabriel Kronberger | Michael Kommenda and Gabriel Kronberger and Christoph Feilmayr and
Michael Affenzeller | Data Mining using Unguided Symbolic Regression on a Blast Furnace
Dataset | Presented at Workshop for Heuristic Problem Solving, Computer Aided
Systems Theory - EUROCAST 2011. The final publication is available at
http://link.springer.com/chapter/10.1007/978-3-642-27549-4_51 | Computer Aided Systems Theory - EUROCAST 2011, Lecture Notes in
Computer Science Volume 6927, 2012, pp 400-407 | 10.1007/978-3-642-27549-4_51 | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper a data mining approach for variable selection and knowledge
extraction from datasets is presented. The approach is based on unguided
symbolic regression (every variable present in the dataset is treated as the
target variable in multiple regression runs) and a novel variable relevance
metric for genetic... | [
{
"version": "v1",
"created": "Mon, 23 Sep 2013 19:35:29 GMT"
}
] | 2013-09-24T00:00:00 | [
[
"Kommenda",
"Michael",
""
],
[
"Kronberger",
"Gabriel",
""
],
[
"Feilmayr",
"Christoph",
""
],
[
"Affenzeller",
"Michael",
""
]
] | TITLE: Data Mining using Unguided Symbolic Regression on a Blast Furnace
Dataset
ABSTRACT: In this paper a data mining approach for variable selection and knowledge
extraction from datasets is presented. The approach is based on unguided
symbolic regression (every variable present in the dataset is treated as the... |
1111.5062 | Emiliano De Cristofaro | Carlo Blundo, Emiliano De Cristofaro, Paolo Gasti | EsPRESSo: Efficient Privacy-Preserving Evaluation of Sample Set
Similarity | A preliminary version of this paper was published in the Proceedings
of the 7th ESORICS International Workshop on Digital Privacy Management (DPM
2012). This is the full version, appearing in the Journal of Computer
Security | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Electronic information is increasingly often shared among entities without
complete mutual trust. To address related security and privacy issues, a few
cryptographic techniques have emerged that support privacy-preserving
information sharing and retrieval. One interesting open problem in this context
involves two par... | [
{
"version": "v1",
"created": "Mon, 21 Nov 2011 23:35:47 GMT"
},
{
"version": "v2",
"created": "Wed, 23 Nov 2011 21:51:04 GMT"
},
{
"version": "v3",
"created": "Wed, 11 Apr 2012 02:09:27 GMT"
},
{
"version": "v4",
"created": "Fri, 20 Jul 2012 19:36:07 GMT"
},
{
"v... | 2013-09-23T00:00:00 | [
[
"Blundo",
"Carlo",
""
],
[
"De Cristofaro",
"Emiliano",
""
],
[
"Gasti",
"Paolo",
""
]
] | TITLE: EsPRESSo: Efficient Privacy-Preserving Evaluation of Sample Set
Similarity
ABSTRACT: Electronic information is increasingly often shared among entities without
complete mutual trust. To address related security and privacy issues, a few
cryptographic techniques have emerged that support privacy-preserving
... |
1302.4389 | Ian Goodfellow | Ian J. Goodfellow and David Warde-Farley and Mehdi Mirza and Aaron
Courville and Yoshua Bengio | Maxout Networks | This is the version of the paper that appears in ICML 2013 | JMLR WCP 28 (3): 1319-1327, 2013 | null | null | stat.ML cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of designing models to leverage a recently introduced
approximate model averaging technique called dropout. We define a simple new
model called maxout (so named because its output is the max of a set of inputs,
and because it is a natural companion to dropout) designed to both facilitate
optim... | [
{
"version": "v1",
"created": "Mon, 18 Feb 2013 18:59:07 GMT"
},
{
"version": "v2",
"created": "Tue, 19 Feb 2013 04:39:48 GMT"
},
{
"version": "v3",
"created": "Wed, 20 Feb 2013 22:33:13 GMT"
},
{
"version": "v4",
"created": "Fri, 20 Sep 2013 08:54:35 GMT"
}
] | 2013-09-23T00:00:00 | [
[
"Goodfellow",
"Ian J.",
""
],
[
"Warde-Farley",
"David",
""
],
[
"Mirza",
"Mehdi",
""
],
[
"Courville",
"Aaron",
""
],
[
"Bengio",
"Yoshua",
""
]
] | TITLE: Maxout Networks
ABSTRACT: We consider the problem of designing models to leverage a recently introduced
approximate model averaging technique called dropout. We define a simple new
model called maxout (so named because its output is the max of a set of inputs,
and because it is a natural companion to dropout... |
1309.5047 | Sean Whalen | Sean Whalen and Gaurav Pandey | A Comparative Analysis of Ensemble Classifiers: Case Studies in Genomics | 10 pages, 3 figures, 8 tables, to appear in Proceedings of the 2013
International Conference on Data Mining | null | null | null | cs.LG q-bio.GN stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The combination of multiple classifiers using ensemble methods is
increasingly important for making progress in a variety of difficult prediction
problems. We present a comparative analysis of several ensemble methods through
two case studies in genomics, namely the prediction of genetic interactions and
protein func... | [
{
"version": "v1",
"created": "Thu, 19 Sep 2013 16:45:18 GMT"
}
] | 2013-09-20T00:00:00 | [
[
"Whalen",
"Sean",
""
],
[
"Pandey",
"Gaurav",
""
]
] | TITLE: A Comparative Analysis of Ensemble Classifiers: Case Studies in Genomics
ABSTRACT: The combination of multiple classifiers using ensemble methods is
increasingly important for making progress in a variety of difficult prediction
problems. We present a comparative analysis of several ensemble methods through
... |
1301.6847 | Zhilin Zhang | Taiyong Li, Zhilin Zhang | Robust Face Recognition via Block Sparse Bayesian Learning | Accepted by Mathematical Problems in Engineering in 2013 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Face recognition (FR) is an important task in pattern recognition and
computer vision. Sparse representation (SR) has been demonstrated to be a
powerful framework for FR. In general, an SR algorithm treats each face in a
training dataset as a basis function, and tries to find a sparse representation
of a test face un... | [
{
"version": "v1",
"created": "Tue, 29 Jan 2013 07:23:00 GMT"
},
{
"version": "v2",
"created": "Wed, 18 Sep 2013 00:19:12 GMT"
}
] | 2013-09-19T00:00:00 | [
[
"Li",
"Taiyong",
""
],
[
"Zhang",
"Zhilin",
""
]
] | TITLE: Robust Face Recognition via Block Sparse Bayesian Learning
ABSTRACT: Face recognition (FR) is an important task in pattern recognition and
computer vision. Sparse representation (SR) has been demonstrated to be a
powerful framework for FR. In general, an SR algorithm treats each face in a
training dataset as... |
1309.4496 | Thoralf Gutierrez | Thoralf Gutierrez, Gautier Krings, Vincent D. Blondel | Evaluating socio-economic state of a country analyzing airtime credit
and mobile phone datasets | 6 pages, 6 figures | null | null | null | cs.CY cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reliable statistical information is important to make political decisions on
a sound basis and to help measure the impact of policies. Unfortunately,
statistics offices in developing countries have scarce resources and
statistical censuses are therefore conducted sporadically. Based on mobile
phone communications and... | [
{
"version": "v1",
"created": "Tue, 17 Sep 2013 22:36:34 GMT"
}
] | 2013-09-19T00:00:00 | [
[
"Gutierrez",
"Thoralf",
""
],
[
"Krings",
"Gautier",
""
],
[
"Blondel",
"Vincent D.",
""
]
] | TITLE: Evaluating socio-economic state of a country analyzing airtime credit
and mobile phone datasets
ABSTRACT: Reliable statistical information is important to make political decisions on
a sound basis and to help measure the impact of policies. Unfortunately,
statistics offices in developing countries have sca... |
1309.4157 | Rui Li | Rui Li and Kevin Chen-Chuan Chang | EgoNet-UIUC: A Dataset For Ego Network Research | DataSet Description | null | null | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this report, we introduce the version one of EgoNet-UIUC, which is a
dataset for ego network research. The dataset contains about 230 ego networks
in Linkedin, which have about 33K users (with their attributes) and 283K
relationships (with their relationship types) in total. We name this dataset as
EgoNet-UIUC, wh... | [
{
"version": "v1",
"created": "Tue, 17 Sep 2013 02:28:25 GMT"
}
] | 2013-09-18T00:00:00 | [
[
"Li",
"Rui",
""
],
[
"Chang",
"Kevin Chen-Chuan",
""
]
] | TITLE: EgoNet-UIUC: A Dataset For Ego Network Research
ABSTRACT: In this report, we introduce the version one of EgoNet-UIUC, which is a
dataset for ego network research. The dataset contains about 230 ego networks
in Linkedin, which have about 33K users (with their attributes) and 283K
relationships (with their re... |
1309.3809 | Ishani Chakraborty | Ishani Chakraborty and Ahmed Elgammal | Visual-Semantic Scene Understanding by Sharing Labels in a Context
Network | null | null | null | null | cs.CV cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of naming objects in complex, natural scenes
containing widely varying object appearance and subtly different names.
Informed by cognitive research, we propose an approach based on sharing context
based object hypotheses between visual and lexical spaces. To this end, we
present the Visual Sem... | [
{
"version": "v1",
"created": "Mon, 16 Sep 2013 00:22:01 GMT"
}
] | 2013-09-17T00:00:00 | [
[
"Chakraborty",
"Ishani",
""
],
[
"Elgammal",
"Ahmed",
""
]
] | TITLE: Visual-Semantic Scene Understanding by Sharing Labels in a Context
Network
ABSTRACT: We consider the problem of naming objects in complex, natural scenes
containing widely varying object appearance and subtly different names.
Informed by cognitive research, we propose an approach based on sharing context
b... |
1309.3877 | Huyen Do | Huyen Do and Alexandros Kalousis | A Metric-learning based framework for Support Vector Machines and
Multiple Kernel Learning | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most metric learning algorithms, as well as Fisher's Discriminant Analysis
(FDA), optimize some cost function of different measures of within-and
between-class distances. On the other hand, Support Vector Machines(SVMs) and
several Multiple Kernel Learning (MKL) algorithms are based on the SVM large
margin theory. Re... | [
{
"version": "v1",
"created": "Mon, 16 Sep 2013 09:39:25 GMT"
}
] | 2013-09-17T00:00:00 | [
[
"Do",
"Huyen",
""
],
[
"Kalousis",
"Alexandros",
""
]
] | TITLE: A Metric-learning based framework for Support Vector Machines and
Multiple Kernel Learning
ABSTRACT: Most metric learning algorithms, as well as Fisher's Discriminant Analysis
(FDA), optimize some cost function of different measures of within-and
between-class distances. On the other hand, Support Vector M... |
1309.4067 | Dima Kagan | Dima Kagan, Michael Fire, Aviad Elyashar, and Yuval Elovici | Facebook Applications' Installation and Removal: A Temporal Analysis | null | null | null | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Facebook applications are one of the reasons for Facebook attractiveness.
Unfortunately, numerous users are not aware of the fact that many malicious
Facebook applications exist. To educate users, to raise users' awareness and to
improve Facebook users' security and privacy, we developed a Firefox add-on
that alerts ... | [
{
"version": "v1",
"created": "Mon, 16 Sep 2013 18:56:45 GMT"
}
] | 2013-09-17T00:00:00 | [
[
"Kagan",
"Dima",
""
],
[
"Fire",
"Michael",
""
],
[
"Elyashar",
"Aviad",
""
],
[
"Elovici",
"Yuval",
""
]
] | TITLE: Facebook Applications' Installation and Removal: A Temporal Analysis
ABSTRACT: Facebook applications are one of the reasons for Facebook attractiveness.
Unfortunately, numerous users are not aware of the fact that many malicious
Facebook applications exist. To educate users, to raise users' awareness and to
... |
1309.3515 | Olga Ohrimenko | Joshua Brown, Olga Ohrimenko, Roberto Tamassia | Haze: Privacy-Preserving Real-Time Traffic Statistics | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider traffic-update mobile applications that let users learn traffic
conditions based on reports from other users. These applications are becoming
increasingly popular (e.g., Waze reported 30 million users in 2013) since they
aggregate real-time road traffic updates from actual users traveling on the
roads. Ho... | [
{
"version": "v1",
"created": "Fri, 13 Sep 2013 17:17:29 GMT"
}
] | 2013-09-16T00:00:00 | [
[
"Brown",
"Joshua",
""
],
[
"Ohrimenko",
"Olga",
""
],
[
"Tamassia",
"Roberto",
""
]
] | TITLE: Haze: Privacy-Preserving Real-Time Traffic Statistics
ABSTRACT: We consider traffic-update mobile applications that let users learn traffic
conditions based on reports from other users. These applications are becoming
increasingly popular (e.g., Waze reported 30 million users in 2013) since they
aggregate re... |
1212.4522 | Yunchao Gong | Yunchao Gong and Qifa Ke and Michael Isard and Svetlana Lazebnik | A Multi-View Embedding Space for Modeling Internet Images, Tags, and
their Semantics | To Appear: International Journal of Computer Vision | null | null | null | cs.CV cs.IR cs.LG cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper investigates the problem of modeling Internet images and
associated text or tags for tasks such as image-to-image search, tag-to-image
search, and image-to-tag search (image annotation). We start with canonical
correlation analysis (CCA), a popular and successful approach for mapping
visual and textual fea... | [
{
"version": "v1",
"created": "Tue, 18 Dec 2012 22:02:43 GMT"
},
{
"version": "v2",
"created": "Mon, 2 Sep 2013 19:14:58 GMT"
}
] | 2013-09-13T00:00:00 | [
[
"Gong",
"Yunchao",
""
],
[
"Ke",
"Qifa",
""
],
[
"Isard",
"Michael",
""
],
[
"Lazebnik",
"Svetlana",
""
]
] | TITLE: A Multi-View Embedding Space for Modeling Internet Images, Tags, and
their Semantics
ABSTRACT: This paper investigates the problem of modeling Internet images and
associated text or tags for tasks such as image-to-image search, tag-to-image
search, and image-to-tag search (image annotation). We start with ... |
1309.3103 | Alex Susemihl | Chris H\"ausler, Alex Susemihl, Martin P Nawrot, Manfred Opper | Temporal Autoencoding Improves Generative Models of Time Series | null | null | null | null | stat.ML cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Restricted Boltzmann Machines (RBMs) are generative models which can learn
useful representations from samples of a dataset in an unsupervised fashion.
They have been widely employed as an unsupervised pre-training method in
machine learning. RBMs have been modified to model time series in two main
ways: The Temporal... | [
{
"version": "v1",
"created": "Thu, 12 Sep 2013 10:39:50 GMT"
}
] | 2013-09-13T00:00:00 | [
[
"Häusler",
"Chris",
""
],
[
"Susemihl",
"Alex",
""
],
[
"Nawrot",
"Martin P",
""
],
[
"Opper",
"Manfred",
""
]
] | TITLE: Temporal Autoencoding Improves Generative Models of Time Series
ABSTRACT: Restricted Boltzmann Machines (RBMs) are generative models which can learn
useful representations from samples of a dataset in an unsupervised fashion.
They have been widely employed as an unsupervised pre-training method in
machine le... |
1309.2648 | Hany SalahEldeen | Hany M. SalahEldeen and Michael L. Nelson | Resurrecting My Revolution: Using Social Link Neighborhood in Bringing
Context to the Disappearing Web | Published IN TPDL 2013 | null | null | null | cs.IR cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In previous work we reported that resources linked in tweets disappeared at
the rate of 11% in the first year followed by 7.3% each year afterwards. We
also found that in the first year 6.7%, and 14.6% in each subsequent year, of
the resources were archived in public web archives. In this paper we revisit
the same da... | [
{
"version": "v1",
"created": "Tue, 10 Sep 2013 20:00:55 GMT"
}
] | 2013-09-12T00:00:00 | [
[
"SalahEldeen",
"Hany M.",
""
],
[
"Nelson",
"Michael L.",
""
]
] | TITLE: Resurrecting My Revolution: Using Social Link Neighborhood in Bringing
Context to the Disappearing Web
ABSTRACT: In previous work we reported that resources linked in tweets disappeared at
the rate of 11% in the first year followed by 7.3% each year afterwards. We
also found that in the first year 6.7%, an... |
1309.2675 | Robert McColl | Rob McColl, David Ediger, Jason Poovey, Dan Campbell, David Bader | A Brief Study of Open Source Graph Databases | WSSSPE13, 4 Pages, 18 Pages with Appendix, 25 figures | null | null | null | cs.DB cs.DS cs.SE | http://creativecommons.org/licenses/by/3.0/ | With the proliferation of large irregular sparse relational datasets, new
storage and analysis platforms have arisen to fill gaps in performance and
capability left by conventional approaches built on traditional database
technologies and query languages. Many of these platforms apply graph
structures and analysis te... | [
{
"version": "v1",
"created": "Fri, 6 Sep 2013 18:36:33 GMT"
}
] | 2013-09-12T00:00:00 | [
[
"McColl",
"Rob",
""
],
[
"Ediger",
"David",
""
],
[
"Poovey",
"Jason",
""
],
[
"Campbell",
"Dan",
""
],
[
"Bader",
"David",
""
]
] | TITLE: A Brief Study of Open Source Graph Databases
ABSTRACT: With the proliferation of large irregular sparse relational datasets, new
storage and analysis platforms have arisen to fill gaps in performance and
capability left by conventional approaches built on traditional database
technologies and query languages... |
1309.2199 | Przemyslaw Grabowicz Mr | Przemyslaw A. Grabowicz, Luca Maria Aiello, V\'ictor M. Egu\'iluz,
Alejandro Jaimes | Distinguishing Topical and Social Groups Based on Common Identity and
Bond Theory | 10 pages, 6 figures, 2 tables | 2013. In Proceedings of the sixth ACM international conference on
Web search and data mining (WSDM '13). ACM, New York, NY, USA, 627-636 | 10.1145/2433396.2433475 | null | cs.SI cs.CY physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Social groups play a crucial role in social media platforms because they form
the basis for user participation and engagement. Groups are created explicitly
by members of the community, but also form organically as members interact. Due
to their importance, they have been studied widely (e.g., community detection,
ev... | [
{
"version": "v1",
"created": "Mon, 9 Sep 2013 15:47:00 GMT"
}
] | 2013-09-10T00:00:00 | [
[
"Grabowicz",
"Przemyslaw A.",
""
],
[
"Aiello",
"Luca Maria",
""
],
[
"Eguíluz",
"Víctor M.",
""
],
[
"Jaimes",
"Alejandro",
""
]
] | TITLE: Distinguishing Topical and Social Groups Based on Common Identity and
Bond Theory
ABSTRACT: Social groups play a crucial role in social media platforms because they form
the basis for user participation and engagement. Groups are created explicitly
by members of the community, but also form organically as ... |
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