id stringlengths 36 36 | adv_source_id stringlengths 36 36 | source_id stringlengths 36 36 | model stringclasses 1
value | decoding null | repetition_penalty null | attack stringclasses 12
values | domain stringclasses 8
values | title stringlengths 1 308 | prompt null | generation stringlengths 3 140k |
|---|---|---|---|---|---|---|---|---|---|---|
43bf4bad-9105-4bdf-bd78-d1ccdfa6dbfc | 43bf4bad-9105-4bdf-bd78-d1ccdfa6dbfc | 43bf4bad-9105-4bdf-bd78-d1ccdfa6dbfc | human | null | null | none | abstracts | DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs | null | In this work we address the task of semantic image segmentation with Deep
Learning and make three main contributions that are experimentally shown to
have substantial practical merit. First, we highlight convolution with
upsampled filters, or 'atrous convolution', as a powerful tool in dense
prediction tasks. Atrous co... |
771f8e8c-a41a-410b-bb61-2b0e70467c95 | 771f8e8c-a41a-410b-bb61-2b0e70467c95 | 771f8e8c-a41a-410b-bb61-2b0e70467c95 | human | null | null | none | abstracts | Object Discovery via Cohesion Measurement | null | Color and intensity are two important components in an image. Usually, groups
of image pixels, which are similar in color or intensity, are an informative
representation for an object. They are therefore particularly suitable for
computer vision tasks, such as saliency detection and object proposal
generation. However,... |
1afb7c7d-24f7-48d5-9f6a-aa755c67bca9 | 1afb7c7d-24f7-48d5-9f6a-aa755c67bca9 | 1afb7c7d-24f7-48d5-9f6a-aa755c67bca9 | human | null | null | none | abstracts | Deep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities | null | Automatic segmentation of medical images is an important task for many
clinical applications. In practice, a wide range of anatomical structures are
visualised using different imaging modalities. In this paper, we investigate
whether a single convolutional neural network (CNN) can be trained to perform
different segmen... |
26d1f313-f244-4df4-9929-c66886bb29b3 | 26d1f313-f244-4df4-9929-c66886bb29b3 | 26d1f313-f244-4df4-9929-c66886bb29b3 | human | null | null | none | abstracts | Structured Learning of Tree Potentials in CRF for Image Segmentation | null | We propose a new approach to image segmentation, which exploits the
advantages of both conditional random fields (CRFs) and decision trees. In the
literature, the potential functions of CRFs are mostly defined as a linear
combination of some pre-defined parametric models, and then methods like
structured support vector... |
722f13c4-cf25-4279-9191-a023b49e53ea | 722f13c4-cf25-4279-9191-a023b49e53ea | 722f13c4-cf25-4279-9191-a023b49e53ea | human | null | null | none | abstracts | k-Means Clustering and Ensemble of Regressions: An Algorithm for the ISIC 2017 Skin Lesion Segmentation Challenge | null | This abstract briefly describes a segmentation algorithm developed for the
ISIC 2017 Skin Lesion Detection Competition hosted at [ref]. The objective of
the competition is to perform a segmentation (in the form of a binary mask
image) of skin lesions in dermoscopic images as close as possible to a
segmentation performe... |
ce2077bf-e2d9-4ae6-b49b-25b586e4edf5 | ce2077bf-e2d9-4ae6-b49b-25b586e4edf5 | ce2077bf-e2d9-4ae6-b49b-25b586e4edf5 | human | null | null | none | abstracts | Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation | null | In this paper, we introduce a simple, yet powerful pipeline for medical image
segmentation that combines Fully Convolutional Networks (FCNs) with Fully
Convolutional Residual Networks (FC-ResNets). We propose and examine a design
that takes particular advantage of recent advances in the understanding of both
Convolutio... |
679eac63-52d1-4c28-82bb-ce60718ab36b | 679eac63-52d1-4c28-82bb-ce60718ab36b | 679eac63-52d1-4c28-82bb-ce60718ab36b | human | null | null | none | abstracts | Image Segmentation Using Overlapping Group Sparsity | null | Sparse decomposition has been widely used for different applications, such as
source separation, image classification and image denoising. This paper
presents a new algorithm for segmentation of an image into background and
foreground text and graphics using sparse decomposition. First, the background
is represented us... |
405fe838-cab2-4f7e-9833-4c045c1bbdf3 | 405fe838-cab2-4f7e-9833-4c045c1bbdf3 | 405fe838-cab2-4f7e-9833-4c045c1bbdf3 | human | null | null | none | abstracts | Fine-grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images | null | Boundary incompleteness raises great challenges to automatic prostate
segmentation in ultrasound images. Shape prior can provide strong guidance in
estimating the missing boundary, but traditional shape models often suffer from
hand-crafted descriptors and local information loss in the fitting procedure.
In this paper,... |
891c294c-58d9-4ba3-b085-b992f1ef2818 | 891c294c-58d9-4ba3-b085-b992f1ef2818 | 891c294c-58d9-4ba3-b085-b992f1ef2818 | human | null | null | none | abstracts | MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors | null | Segmenting images of low quality or with missing data is a challenging
problem. Integrating statistical prior information about the shapes to be
segmented can improve the segmentation results significantly. Most shape-based
segmentation algorithms optimize an energy functional and find a point estimate
for the object t... |
ade3fd87-30b8-4664-91fa-61b2bb99c132 | ade3fd87-30b8-4664-91fa-61b2bb99c132 | ade3fd87-30b8-4664-91fa-61b2bb99c132 | human | null | null | none | abstracts | Theoretical Analysis of Active Contours on Graphs | null | Active contour models based on partial differential equations have proved
successful in image segmentation, yet the study of their geometric formulation
on arbitrary geometric graphs is still at an early stage. In this paper, we
introduce geometric approximations of gradient and curvature, which are used in
the geodesi... |
8bf02f83-d4a0-43dd-b7e5-e35d82337d9a | 8bf02f83-d4a0-43dd-b7e5-e35d82337d9a | 8bf02f83-d4a0-43dd-b7e5-e35d82337d9a | human | null | null | none | abstracts | Combinatorial Energy Learning for Image Segmentation | null | We introduce a new machine learning approach for image segmentation that uses
a neural network to model the conditional energy of a segmentation given an
image. Our approach, combinatorial energy learning for image segmentation
(CELIS) places a particular emphasis on modeling the inherent combinatorial
nature of dense ... |
3ce9a084-3b0a-4e7c-aeab-acb4b02105b3 | 3ce9a084-3b0a-4e7c-aeab-acb4b02105b3 | 3ce9a084-3b0a-4e7c-aeab-acb4b02105b3 | human | null | null | none | abstracts | A 4D Light-Field Dataset and CNN Architectures for Material Recognition | null | We introduce a new light-field dataset of materials, and take advantage of
the recent success of deep learning to perform material recognition on the 4D
light-field. Our dataset contains 12 material categories, each with 100 images
taken with a Lytro Illum, from which we extract about 30,000 patches in total.
To the be... |
eed27bff-8deb-44ec-ad7b-3c6316bd345d | eed27bff-8deb-44ec-ad7b-3c6316bd345d | eed27bff-8deb-44ec-ad7b-3c6316bd345d | human | null | null | none | abstracts | SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation | null | Region-based methods have proven necessary for improving segmentation
accuracy of neuronal structures in electron microscopy (EM) images. Most
region-based segmentation methods use a scoring function to determine region
merging. Such functions are usually learned with supervised algorithms that
demand considerable grou... |
54e0f95e-00d1-469e-ad5f-aee23ffdcc3d | 54e0f95e-00d1-469e-ad5f-aee23ffdcc3d | 54e0f95e-00d1-469e-ad5f-aee23ffdcc3d | human | null | null | none | abstracts | Superpixel Convolutional Networks using Bilateral Inceptions | null | In this paper we propose a CNN architecture for semantic image segmentation.
We introduce a new 'bilateral inception' module that can be inserted in
existing CNN architectures and performs bilateral filtering, at multiple
feature-scales, between superpixels in an image. The feature spaces for
bilateral filtering and ot... |
fad4e6d3-4732-418a-9dcb-7722141430a3 | fad4e6d3-4732-418a-9dcb-7722141430a3 | fad4e6d3-4732-418a-9dcb-7722141430a3 | human | null | null | none | abstracts | Screen Content Image Segmentation Using Sparse Decomposition and Total Variation Minimization | null | Sparse decomposition has been widely used for different applications, such as
source separation, image classification, image denoising and more. This paper
presents a new algorithm for segmentation of an image into background and
foreground text and graphics using sparse decomposition and total variation
minimization. ... |
32ad507a-fd83-458a-8a3d-0d4f8c6b5b47 | 32ad507a-fd83-458a-8a3d-0d4f8c6b5b47 | 32ad507a-fd83-458a-8a3d-0d4f8c6b5b47 | human | null | null | none | abstracts | Incorporating prior knowledge in medical image segmentation: a survey | null | Medical image segmentation, the task of partitioning an image into meaningful
parts, is an important step toward automating medical image analysis and is at
the crux of a variety of medical imaging applications, such as computer aided
diagnosis, therapy planning and delivery, and computer aided interventions.
However, ... |
04284051-7a7a-4104-bd93-0f44b50ed616 | 04284051-7a7a-4104-bd93-0f44b50ed616 | 04284051-7a7a-4104-bd93-0f44b50ed616 | human | null | null | none | abstracts | Efficient piecewise training of deep structured models for semantic segmentation | null | Recent advances in semantic image segmentation have mostly been achieved by
training deep convolutional neural networks (CNNs). We show how to improve
semantic segmentation through the use of contextual information; specifically,
we explore `patch-patch' context between image regions, and `patch-background'
context. Fo... |
1091bb0b-6cb0-4667-b117-58ee4136ee94 | 1091bb0b-6cb0-4667-b117-58ee4136ee94 | 1091bb0b-6cb0-4667-b117-58ee4136ee94 | human | null | null | none | abstracts | Bridging Category-level and Instance-level Semantic Image Segmentation | null | We propose an approach to instance-level image segmentation that is built on
top of category-level segmentation. Specifically, for each pixel in a semantic
category mask, its corresponding instance bounding box is predicted using a
deep fully convolutional regression network. Thus it follows a different
pipeline to the... |
fe96becb-05e7-47fa-bf1f-41acbedb8636 | fe96becb-05e7-47fa-bf1f-41acbedb8636 | fe96becb-05e7-47fa-bf1f-41acbedb8636 | human | null | null | none | abstracts | Fast Semantic Image Segmentation with High Order Context and Guided Filtering | null | This paper describes a fast and accurate semantic image segmentation approach
that encodes not only the discriminative features from deep neural networks,
but also the high-order context compatibility among adjacent objects as well as
low level image features. We formulate the underlying problem as the
conditional rand... |
bd1160c4-4533-4102-b1bb-1c5b3304ff5f | bd1160c4-4533-4102-b1bb-1c5b3304ff5f | bd1160c4-4533-4102-b1bb-1c5b3304ff5f | human | null | null | none | abstracts | A Classifier-guided Approach for Top-down Salient Object Detection | null | We propose a framework for top-down salient object detection that
incorporates a tightly coupled image classification module. The classifier is
trained on novel category-aware sparse codes computed on object dictionaries
used for saliency modeling. A misclassification indicates that the
corresponding saliency model is ... |
fce72cc8-d3d3-4ff3-973d-9371dceab939 | fce72cc8-d3d3-4ff3-973d-9371dceab939 | fce72cc8-d3d3-4ff3-973d-9371dceab939 | human | null | null | none | abstracts | Fully-Automatic Synapse Prediction and Validation on a Large Data Set | null | Extracting a connectome from an electron microscopy (EM) data set requires
identification of neurons and determination of synapses between neurons. As
manual extraction of this information is very time-consuming, there has been
extensive research effort to automatically segment the neurons to help guide
and eventually ... |
8a1ace59-3d8c-483d-a8dc-7a15e898f310 | 8a1ace59-3d8c-483d-a8dc-7a15e898f310 | 8a1ace59-3d8c-483d-a8dc-7a15e898f310 | human | null | null | none | abstracts | Kernelized Weighted SUSAN based Fuzzy C-Means Clustering for Noisy Image Segmentation | null | The paper proposes a novel Kernelized image segmentation scheme for noisy
images that utilizes the concept of Smallest Univalue Segment Assimilating
Nucleus (SUSAN) and incorporates spatial constraints by computing circular
colour map induced weights. Fuzzy damping coefficients are obtained for each
nucleus or center p... |
33990fb9-7202-4e37-8d52-b1df461a4951 | 33990fb9-7202-4e37-8d52-b1df461a4951 | 33990fb9-7202-4e37-8d52-b1df461a4951 | human | null | null | none | abstracts | Integrated Inference and Learning of Neural Factors in Structural Support Vector Machines | null | Tackling pattern recognition problems in areas such as computer vision,
bioinformatics, speech or text recognition is often done best by taking into
account task-specific statistical relations between output variables. In
structured prediction, this internal structure is used to predict multiple
outputs simultaneously,... |
df3be76c-8027-4379-a2d3-1f92e94a7842 | df3be76c-8027-4379-a2d3-1f92e94a7842 | df3be76c-8027-4379-a2d3-1f92e94a7842 | human | null | null | none | abstracts | Graph entropies in texture segmentation of images | null | We study the applicability of a set of texture descriptors introduced in
recent work by the author to texture-based segmentation of images. The texture
descriptors under investigation result from applying graph indices from
quantitative graph theory to graphs encoding the local structure of images. The
underlying graph... |
630ef64e-3295-4eaf-b366-69b602196016 | 630ef64e-3295-4eaf-b366-69b602196016 | 630ef64e-3295-4eaf-b366-69b602196016 | human | null | null | none | abstracts | Regional Active Contours based on Variational level sets and Machine Learning for Image Segmentation | null | Image segmentation is the problem of partitioning an image into different
subsets, where each subset may have a different characterization in terms of
color, intensity, texture, and/or other features. Segmentation is a fundamental
component of image processing, and plays a significant role in computer vision,
object re... |
56166659-ec7a-41d0-9396-fd6abfdf7861 | 56166659-ec7a-41d0-9396-fd6abfdf7861 | 56166659-ec7a-41d0-9396-fd6abfdf7861 | human | null | null | none | abstracts | Deeply Learning the Messages in Message Passing Inference | null | Deep structured output learning shows great promise in tasks like semantic
image segmentation. We proffer a new, efficient deep structured model learning
scheme, in which we show how deep Convolutional Neural Networks (CNNs) can be
used to estimate the messages in message passing inference for structured
prediction wit... |
36db5def-75bc-48cc-9d66-1e673e563773 | 36db5def-75bc-48cc-9d66-1e673e563773 | 36db5def-75bc-48cc-9d66-1e673e563773 | human | null | null | none | abstracts | A Novel Approach Towards Clustering Based Image Segmentation | null | In computer vision, image segmentation is always selected as a major research
topic by researchers. Due to its vital rule in image processing, there always
arises the need of a better image segmentation method. Clustering is an
unsupervised study with its application in almost every field of science and
engineering. Ma... |
5bd44b68-d473-4224-82a7-b1023155c1ba | 5bd44b68-d473-4224-82a7-b1023155c1ba | 5bd44b68-d473-4224-82a7-b1023155c1ba | human | null | null | none | abstracts | Deep Learning for Medical Image Segmentation | null | This report provides an overview of the current state of the art deep
learning architectures and optimisation techniques, and uses the ADNI
hippocampus MRI dataset as an example to compare the effectiveness and
efficiency of different convolutional architectures on the task of patch-based
3-dimensional hippocampal segm... |
00bc54c0-632d-49a1-afec-0b813da77a46 | 00bc54c0-632d-49a1-afec-0b813da77a46 | 00bc54c0-632d-49a1-afec-0b813da77a46 | human | null | null | none | abstracts | Evolving Fuzzy Image Segmentation with Self-Configuration | null | Current image segmentation techniques usually require that the user tune
several parameters in order to obtain maximum segmentation accuracy, a
computationally inefficient approach, especially when a large number of images
must be processed sequentially in daily practice. The use of evolving fuzzy
systems for designing... |
1e2a9ff9-abdb-4a71-b656-3dcefbf0faab | 1e2a9ff9-abdb-4a71-b656-3dcefbf0faab | 1e2a9ff9-abdb-4a71-b656-3dcefbf0faab | human | null | null | none | abstracts | Bethe Learning of Conditional Random Fields via MAP Decoding | null | Many machine learning tasks can be formulated in terms of predicting
structured outputs. In frameworks such as the structured support vector machine
(SVM-Struct) and the structured perceptron, discriminative functions are
learned by iteratively applying efficient maximum a posteriori (MAP) decoding.
However, maximum li... |
0efbebca-d6fa-4e22-848c-d880b538be06 | 0efbebca-d6fa-4e22-848c-d880b538be06 | 0efbebca-d6fa-4e22-848c-d880b538be06 | human | null | null | none | abstracts | Fast Constraint Propagation for Image Segmentation | null | This paper presents a novel selective constraint propagation method for
constrained image segmentation. In the literature, many pairwise constraint
propagation methods have been developed to exploit pairwise constraints for
cluster analysis. However, since most of these methods have a polynomial time
complexity, they a... |
5c337fac-1159-4849-a09e-aad39334e431 | 5c337fac-1159-4849-a09e-aad39334e431 | 5c337fac-1159-4849-a09e-aad39334e431 | human | null | null | none | abstracts | Unsupervised image segmentation by Global and local Criteria Optimization Based on Bayesian Networks | null | Today Bayesian networks are more used in many areas of decision support and
image processing. In this way, our proposed approach uses Bayesian Network to
modelize the segmented image quality. This quality is calculated on a set of
attributes that represent local evaluation measures. The idea is to have these
local leve... |
a29d1548-e47d-4a63-b18d-706267efdf14 | a29d1548-e47d-4a63-b18d-706267efdf14 | a29d1548-e47d-4a63-b18d-706267efdf14 | human | null | null | none | abstracts | Highly Efficient Forward and Backward Propagation of Convolutional Neural Networks for Pixelwise Classification | null | We present highly efficient algorithms for performing forward and backward
propagation of Convolutional Neural Network (CNN) for pixelwise classification
on images. For pixelwise classification tasks, such as image segmentation and
object detection, surrounding image patches are fed into CNN for predicting the
classes ... |
a99184a4-6066-4778-99ed-4f3c9d98ba83 | a99184a4-6066-4778-99ed-4f3c9d98ba83 | a99184a4-6066-4778-99ed-4f3c9d98ba83 | human | null | null | none | abstracts | Fast Edge Detection Using Structured Forests | null | Edge detection is a critical component of many vision systems, including
object detectors and image segmentation algorithms. Patches of edges exhibit
well-known forms of local structure, such as straight lines or T-junctions. In
this paper we take advantage of the structure present in local image patches to
learn both ... |
7fdb0b4a-1cf4-4a4d-8ab5-c221c8e1ada9 | 7fdb0b4a-1cf4-4a4d-8ab5-c221c8e1ada9 | 7fdb0b4a-1cf4-4a4d-8ab5-c221c8e1ada9 | human | null | null | none | abstracts | Open-set Person Re-identification | null | Person re-identification is becoming a hot research for developing both
machine learning algorithms and video surveillance applications. The task of
person re-identification is to determine which person in a gallery has the same
identity to a probe image. This task basically assumes that the subject of the
probe image ... |
59dd570d-3eda-49b1-85aa-fa94abaabaec | 59dd570d-3eda-49b1-85aa-fa94abaabaec | 59dd570d-3eda-49b1-85aa-fa94abaabaec | human | null | null | none | abstracts | Near-optimal Keypoint Sampling for Fast Pathological Lung Segmentation | null | Accurate delineation of pathological lungs from computed tomography (CT)
images remains mostly unsolved because available methods fail to provide a
reliable generic solution due to high variability of abnormality appearance.
Local descriptor-based classification methods have shown to work well in
annotating pathologies... |
51d16092-4f0c-4c73-9d5e-13fc713cb941 | 51d16092-4f0c-4c73-9d5e-13fc713cb941 | 51d16092-4f0c-4c73-9d5e-13fc713cb941 | human | null | null | none | abstracts | Incorporating Near-Infrared Information into Semantic Image Segmentation | null | Recent progress in computational photography has shown that we can acquire
near-infrared (NIR) information in addition to the normal visible (RGB) band,
with only slight modifications to standard digital cameras. Due to the
proximity of the NIR band to visible radiation, NIR images share many
properties with visible im... |
5c9dc6c5-d804-48a3-8309-5c671883d770 | 5c9dc6c5-d804-48a3-8309-5c671883d770 | 5c9dc6c5-d804-48a3-8309-5c671883d770 | human | null | null | none | abstracts | Variational Image Segmentation Model Coupled with Image Restoration Achievements | null | Image segmentation and image restoration are two important topics in image
processing with great achievements. In this paper, we propose a new multiphase
segmentation model by combining image restoration and image segmentation
models. Utilizing image restoration aspects, the proposed segmentation model
can effectively ... |
34276620-b1c3-4c30-97d5-2f222f881076 | 34276620-b1c3-4c30-97d5-2f222f881076 | 34276620-b1c3-4c30-97d5-2f222f881076 | human | null | null | none | abstracts | A Tiered Move-making Algorithm for General Non-submodular Pairwise Energies | null | A large number of problems in computer vision can be modelled as energy
minimization problems in a Markov Random Field (MRF) or Conditional Random
Field (CRF) framework. Graph-cuts based $\alpha$-expansion is a standard
move-making method to minimize the energy functions with sub-modular pairwise
terms. However, certai... |
4b1ca80e-60c9-4567-b437-90fc7c4545af | 4b1ca80e-60c9-4567-b437-90fc7c4545af | 4b1ca80e-60c9-4567-b437-90fc7c4545af | human | null | null | none | abstracts | Clustering using Vector Membership: An Extension of the Fuzzy C-Means Algorithm | null | Clustering is an important facet of explorative data mining and finds
extensive use in several fields. In this paper, we propose an extension of the
classical Fuzzy C-Means clustering algorithm. The proposed algorithm,
abbreviated as VFC, adopts a multi-dimensional membership vector for each data
point instead of the t... |
d491aa7c-3468-4ac9-acd1-d72353da723b | d491aa7c-3468-4ac9-acd1-d72353da723b | d491aa7c-3468-4ac9-acd1-d72353da723b | human | null | null | none | abstracts | Efficient Energy Minimization for Enforcing Statistics | null | Energy minimization algorithms, such as graph cuts, enable the computation of
the MAP solution under certain probabilistic models such as Markov random
fields. However, for many computer vision problems, the MAP solution under the
model is not the ground truth solution. In many problem scenarios, the system
has access ... |
39b84587-7fd4-4a2b-a566-aaad6d196df1 | 39b84587-7fd4-4a2b-a566-aaad6d196df1 | 39b84587-7fd4-4a2b-a566-aaad6d196df1 | human | null | null | none | abstracts | Live-wire 3D medical images segmentation | null | This report describes the design, implementation, evaluation and original
enhancements to the Live-Wire method for 2D and 3D image segmentation.
Live-Wire 2D employs a semi-automatic paradigm; the user is asked to select a
few boundary points of the object to segment, to steer the process in the right
direction, while ... |
c7755a04-f926-4698-9639-a3613011e9f9 | c7755a04-f926-4698-9639-a3613011e9f9 | c7755a04-f926-4698-9639-a3613011e9f9 | human | null | null | none | abstracts | Robust Image Segmentation in Low Depth Of Field Images | null | In photography, low depth of field (DOF) is an important technique to
emphasize the object of interest (OOI) within an image. Thus, low DOF images
are widely used in the application area of macro, portrait or sports
photography. When viewing a low DOF image, the viewer implicitly concentrates
on the regions that are sh... |
5995c43a-4d3e-4323-b562-9617d4756b35 | 5995c43a-4d3e-4323-b562-9617d4756b35 | 5995c43a-4d3e-4323-b562-9617d4756b35 | human | null | null | none | abstracts | Gray Image extraction using Fuzzy Logic | null | Fuzzy systems concern fundamental methodology to represent and process
uncertainty and imprecision in the linguistic information. The fuzzy systems
that use fuzzy rules to represent the domain knowledge of the problem are known
as Fuzzy Rule Base Systems (FRBS). On the other hand image segmentation and
subsequent extra... |
b78ac52e-93ca-4ed2-9b68-32f6cf1f4617 | b78ac52e-93ca-4ed2-9b68-32f6cf1f4617 | b78ac52e-93ca-4ed2-9b68-32f6cf1f4617 | human | null | null | none | abstracts | 3D Model Assisted Image Segmentation | null | The problem of segmenting a given image into coherent regions is important in
Computer Vision and many industrial applications require segmenting a known
object into its components. Examples include identifying individual parts of a
component for process control work in a manufacturing plant and identifying
parts of a ... |
2dca91ca-3683-4870-92c8-e9172f837fa9 | 2dca91ca-3683-4870-92c8-e9172f837fa9 | 2dca91ca-3683-4870-92c8-e9172f837fa9 | human | null | null | none | abstracts | A linear framework for region-based image segmentation and inpainting involving curvature penalization | null | We present the first method to handle curvature regularity in region-based
image segmentation and inpainting that is independent of initialization.
To this end we start from a new formulation of length-based optimization
schemes, based on surface continuation constraints, and discuss the connections
to existing schem... |
8c9cafc4-fe7b-4b95-9ed7-ac1e5f2cafea | 8c9cafc4-fe7b-4b95-9ed7-ac1e5f2cafea | 8c9cafc4-fe7b-4b95-9ed7-ac1e5f2cafea | human | null | null | none | abstracts | Multi-environment model estimation for motility analysis of Caenorhabditis Elegans | null | The nematode Caenorhabditis elegans is a well-known model organism used to
investigate fundamental questions in biology. Motility assays of this small
roundworm are designed to study the relationships between genes and behavior.
Commonly, motility analysis is used to classify nematode movements and
characterize them qu... |
4c4676d5-c143-448c-b058-9c360b04d900 | 4c4676d5-c143-448c-b058-9c360b04d900 | 4c4676d5-c143-448c-b058-9c360b04d900 | human | null | null | none | abstracts | A Topological derivative based image segmentation for sign language recognition system using isotropic filter | null | The need of sign language is increasing radically especially to hearing
impaired community. Only few research groups try to automatically recognize
sign language from video, colored gloves and etc. Their approach requires a
valid segmentation of the data that is used for training and of the data that
is used to be reco... |
dfae1272-4190-42eb-bc08-706538d93519 | dfae1272-4190-42eb-bc08-706538d93519 | dfae1272-4190-42eb-bc08-706538d93519 | human | null | null | none | abstracts | An information-theoretic derivation of min-cut based clustering | null | Min-cut clustering, based on minimizing one of two heuristic cost-functions
proposed by Shi and Malik, has spawned tremendous research, both analytic and
algorithmic, in the graph partitioning and image segmentation communities over
the last decade. It is however unclear if these heuristics can be derived from
a more g... |
106a77e0-cf20-44a6-bfa9-6ffd08551882 | 106a77e0-cf20-44a6-bfa9-6ffd08551882 | 106a77e0-cf20-44a6-bfa9-6ffd08551882 | human | null | null | none | abstracts | $L^2$ well-posedness of boundary value problems for parabolic systems
with measurable coefficients | null | We prove the first positive results concerning boundary value problems in the
upper half-space of second order parabolic systems only assuming measurability
and some transversal regularity in the coefficients of the elliptic part. To do
so, we introduce and develop a first order strategy by means of a parabolic
Dirac... |
f1d0a319-76ee-4cf2-9ca0-51ecc51f7f2d | f1d0a319-76ee-4cf2-9ca0-51ecc51f7f2d | f1d0a319-76ee-4cf2-9ca0-51ecc51f7f2d | human | null | null | none | abstracts | Design and Application of Variable Temperature Environmental Capsule for
Scanning Electron Microscopy in Gases and Liquids at Ambient Conditions | null | Scanning electron microscopy (SEM) of nanoscale objects in their native
conditions and at different temperatures are of critical importance in
revealing details of their interactions with ambient environments. Currently
available environmental capsules are equipped with thin electron transparent
membranes and allow i... |
c1eebe39-464c-45c7-8ff7-6f85731b0df3 | c1eebe39-464c-45c7-8ff7-6f85731b0df3 | c1eebe39-464c-45c7-8ff7-6f85731b0df3 | human | null | null | none | abstracts | Effective results for Diophantine equations over finitely generated
domains | null | Let A be an arbitrary integral domain of characteristic 0 which is finitely
generated over Z. We consider Thue equations $F(x,y)=b$ with unknowns x,y from
A and hyper- and superelliptic equations $f(x)=by^m$ with unknowns from A,
where the binary form F and the polynomial f have their coefficients in A,
where b is a ... |
4eaa8a84-736e-415b-a272-74e2e37328e3 | 4eaa8a84-736e-415b-a272-74e2e37328e3 | 4eaa8a84-736e-415b-a272-74e2e37328e3 | human | null | null | none | abstracts | Blow-ups in generalized complex geometry | null | We study blow-ups in generalized complex geometry. To that end we introduce
the concept of holomorphic ideal, which allows one to define a blow-up in the
category of smooth manifolds. We then investigate which generalized complex
submanifolds are suitable for blowing up. Two classes naturally appear;
generalized Pois... |
10187bc0-8c50-4561-bc3e-f7f933527be3 | 10187bc0-8c50-4561-bc3e-f7f933527be3 | 10187bc0-8c50-4561-bc3e-f7f933527be3 | human | null | null | none | abstracts | An Icosahedral Quasicrystal as a Packing of Regular Tetrahedra | null | We present the construction of a dense, quasicrystalline packing of regular
tetrahedra with icosahedral symmetry. This quasicrystalline packing was
achieved through two independent approaches. The first approach originates in
the Elser-Sloane 4D quasicrystal. A 3D slice of the quasicrystal contains a few
types of pro... |
a623e336-ca8b-4330-b4b8-dd3f464577af | a623e336-ca8b-4330-b4b8-dd3f464577af | a623e336-ca8b-4330-b4b8-dd3f464577af | human | null | null | none | abstracts | Detection of hidden structures on all scales in amorphous materials and
complex physical systems: basic notions and applications to networks, lattice
systems, and glasses | null | Recent decades have seen the discovery of numerous complex materials. At the
root of the complexity underlying many of these materials lies a large number
of possible contending atomic- and larger-scale configurations and the
intricate correlations between their constituents. For a detailed
understanding, there is a ... |
62a9d698-4df2-488a-a05a-64f3ed0e604d | 62a9d698-4df2-488a-a05a-64f3ed0e604d | 62a9d698-4df2-488a-a05a-64f3ed0e604d | human | null | null | none | abstracts | Copula Correlation: An Equitable Dependence Measure and Extension of
Pearson's Correlation | null | In Science, Reshef et al. (2011) proposed the concept of equitability for
measures of dependence between two random variables. To this end, they proposed
a novel measure, the maximal information coefficient (MIC). Recently a PNAS
paper (Kinney and Atwal, 2014) gave a mathematical definition for equitability.
They pro... |
a1d3e078-3981-4961-b58a-2c6d5fac8345 | a1d3e078-3981-4961-b58a-2c6d5fac8345 | a1d3e078-3981-4961-b58a-2c6d5fac8345 | human | null | null | none | abstracts | Harmonic maps of finite uniton type into inner symmetric spaces | null | In this paper, we develop a loop group description of harmonic maps
$\mathcal{F}: M \rightarrow G/K$ ``of finite uniton type", from a Riemann
surface $M$ into inner symmetric spaces of compact or non-compact type. This
develops work of Uhlenbeck, Segal, and Burstall-Guest to non-compact inner
symmetric spaces. To be ... |
97c9041b-25b0-49cf-8f47-58f1fe5ed38c | 97c9041b-25b0-49cf-8f47-58f1fe5ed38c | 97c9041b-25b0-49cf-8f47-58f1fe5ed38c | human | null | null | none | abstracts | Presupernova neutrinos: realistic emissivities from stellar evolution | null | We present a new calculation of neutrino emissivities and energy spectra from
a massive star going through the advanced stages of nuclear burning
(presupernova) in the months before becoming a supernova. The contributions
from beta decay and electron capture, pair annihilation, plasmon decay, and the
photoneutrino pr... |
a0fc146e-35bb-4139-8bdd-6c74df7ff3a4 | a0fc146e-35bb-4139-8bdd-6c74df7ff3a4 | a0fc146e-35bb-4139-8bdd-6c74df7ff3a4 | human | null | null | none | abstracts | A Framework for Non-Gaussian Functional Integrals with Applications | null | Functional integrals can be defined on topological groups in terms of
families of locally compact topological groups and their associated
Banach-valued Haar integrals. The definition forgoes the goal of constructing a
genuine measure on a space of functions, and instead provides for a topological
realization of local... |
3f271786-6120-4b7f-9bab-3615e5ea24d7 | 3f271786-6120-4b7f-9bab-3615e5ea24d7 | 3f271786-6120-4b7f-9bab-3615e5ea24d7 | human | null | null | none | abstracts | FPGA Based Data Read-Out System of the Belle 2 Pixel Detector | null | The upgrades of the Belle experiment and the KEKB accelerator aim to increase
the data set of the experiment by the factor 50. This will be achieved by
increasing the luminosity of the accelerator which requires a significant
upgrade of the detector. A new pixel detector based on DEPFET technology will
be installed t... |
85e1cdd2-1f54-478c-bdd4-8f6bfd0cd0b4 | 85e1cdd2-1f54-478c-bdd4-8f6bfd0cd0b4 | 85e1cdd2-1f54-478c-bdd4-8f6bfd0cd0b4 | human | null | null | none | abstracts | Noise reduction and hyperfine level coherence in spontaneous noise
spectroscopy of atomic vapor | null | We develop a system for measurements of power spectra of transmitted light
intensity fluctuations, in which the extraneous noise, including shot noise, is
reduced. In essence, we just apply light, measure the power of the transmitted
light and derive its power spectrum. We use this to observe the spontaneous
noise sp... |
31e8b9c1-bd31-4cd3-adf7-55968245bd6c | 31e8b9c1-bd31-4cd3-adf7-55968245bd6c | 31e8b9c1-bd31-4cd3-adf7-55968245bd6c | human | null | null | none | abstracts | Experimental Evidence Supporting a New "Osmosis Law & Theory" Derived
New Formula that Improves van't Hoff Osmotic Pressure Equation | null | Experimental data were used to support a new concept of osmotic force and a
new osmotic law that can explain the osmotic process without the difficulties
encountered with van't Hoff osmotic pressure theory. Derived new osmotic
formula with curvilinear equation (via new osmotic law) overcomes the
limitations and incom... |
da1956b4-7d83-46a7-a0f1-a5e6b1e966c5 | da1956b4-7d83-46a7-a0f1-a5e6b1e966c5 | da1956b4-7d83-46a7-a0f1-a5e6b1e966c5 | human | null | null | none | abstracts | Femtosecond resolution timing jitter correction on a TW scale
Ti:sapphire laser system for FEL pump-probe experiments | null | Intense ultrashort pulse lasers are used for fs resolution pumpprobe
experiments more and more at large scale facilities, such as free electron
lasers (FEL). Measurement of the arrival time of the laser pulses and
stabilization to the machine or other sub-systems on the target, is crucial for
high time-resolution mea... |
b2a09e80-2df6-42bc-a5e4-4c5923927c70 | b2a09e80-2df6-42bc-a5e4-4c5923927c70 | b2a09e80-2df6-42bc-a5e4-4c5923927c70 | human | null | null | none | abstracts | Sparsity and Parallel Acquisition: Optimal Uniform and Nonuniform
Recovery Guarantees | null | The problem of multiple sensors simultaneously acquiring measurements of a
single object can be found in many applications. In this paper, we present the
optimal recovery guarantees for the recovery of compressible signals from
multi-sensor measurements using compressed sensing. In the first half of the
paper, we pre... |
898b6636-9cd9-4461-be26-a773676619f6 | 898b6636-9cd9-4461-be26-a773676619f6 | 898b6636-9cd9-4461-be26-a773676619f6 | human | null | null | none | abstracts | Analyzing Timed Systems Using Tree Automata | null | Timed systems, such as timed automata, are usually analyzed using their
operational semantics on timed words. The classical region abstraction for
timed automata reduces them to (untimed) finite state automata with the same
time-abstract properties, such as state reachability. We propose a new
technique to analyze su... |
60831204-d729-421b-b559-3d5dfd26479c | 60831204-d729-421b-b559-3d5dfd26479c | 60831204-d729-421b-b559-3d5dfd26479c | human | null | null | none | abstracts | Defining implication relation for classical logic | null | In classical logic, "P implies Q" is equivalent to "not-P or Q". It is well
known that the equivalence is problematic. Actually, from "P implies Q", "not-P
or Q" can be inferred ("Implication-to-disjunction" is valid), while from
"not-P or Q", "P implies Q" cannot be inferred in general
("Disjunction-to-implication" ... |
df21a737-97ab-459c-a73b-5805a2494bac | df21a737-97ab-459c-a73b-5805a2494bac | df21a737-97ab-459c-a73b-5805a2494bac | human | null | null | none | abstracts | Most Complex Regular Ideal Languages | null | A right ideal (left ideal, two-sided ideal) is a non-empty language $L$ over
an alphabet $\Sigma$ such that $L=L\Sigma^*$ ($L=\Sigma^*L$,
$L=\Sigma^*L\Sigma^*$). Let $k=3$ for right ideals, 4 for left ideals and 5 for
two-sided ideals. We show that there exist sequences ($L_n \mid n \ge k $) of
right, left, and two-s... |
f4d5ea1c-b951-482b-ac91-8b56c9834124 | f4d5ea1c-b951-482b-ac91-8b56c9834124 | f4d5ea1c-b951-482b-ac91-8b56c9834124 | human | null | null | none | abstracts | Algebraic and logical descriptions of generalized trees | null | Quasi-trees generalize trees in that the unique "path" between two nodes may
be infinite and have any countable order type. They are used to define the
rank-width of a countable graph in such a way that it is equal to the least
upper-bound of the rank-widths of its finite induced subgraphs. Join-trees are
the corresp... |
90ba909a-1986-450b-b156-f8e371772dc2 | 90ba909a-1986-450b-b156-f8e371772dc2 | 90ba909a-1986-450b-b156-f8e371772dc2 | human | null | null | none | abstracts | Analysis of Fisher Information and the Cram\'{e}r-Rao Bound for
Nonlinear Parameter Estimation after Compressed Sensing | null | In this paper, we analyze the impact of compressed sensing with complex
random matrices on Fisher information and the Cram\'{e}r-Rao Bound (CRB) for
estimating unknown parameters in the mean value function of a complex
multivariate normal distribution. We consider the class of random compression
matrices whose distri... |
b2fcea6b-22f5-48f0-ab07-1c00fd48b8f0 | b2fcea6b-22f5-48f0-ab07-1c00fd48b8f0 | b2fcea6b-22f5-48f0-ab07-1c00fd48b8f0 | human | null | null | none | abstracts | The $\pi$-Calculus is Behaviourally Complete and Orbit-Finitely
Executable | null | Reactive Turing machines extend classical Turing machines with a facility to
model observable interactive behaviour. We call a behaviour (finitely)
executable if, and only if, it is equivalent to the behaviour of a (finite)
reactive Turing machine. In this paper, we study the relationship between
executable behaviour... |
35e43de4-b951-4ff4-9974-c1706cc4b178 | 35e43de4-b951-4ff4-9974-c1706cc4b178 | 35e43de4-b951-4ff4-9974-c1706cc4b178 | human | null | null | none | abstracts | Petersen cores and the oddness of cubic graphs | null | Let $G$ be a bridgeless cubic graph. Consider a list of $k$ 1-factors of $G$.
Let $E_i$ be the set of edges contained in precisely $i$ members of the $k$
1-factors. Let $\mu_k(G)$ be the smallest $|E_0|$ over all lists of $k$
1-factors of $G$. If $G$ is not 3-edge-colorable, then $\mu_3(G) \geq 3$. In
[E. Steffen, 1-... |
b5e9b503-6ca3-4017-8eb7-ec2c77b1888b | b5e9b503-6ca3-4017-8eb7-ec2c77b1888b | b5e9b503-6ca3-4017-8eb7-ec2c77b1888b | human | null | null | none | abstracts | On homotopy invariants of combings of 3-manifolds | null | Combings of oriented compact 3-manifolds are homotopy classes of nowhere zero
vector fields in these manifolds. A first known invariant of a combing is its
Euler class, that is the Euler class of the normal bundle to a combing
representative in the tangent bundle of the 3-manifold $M$. It only depends on
the Spin$^c$... |
e7368eaa-a7c3-4392-b61d-95472fc78115 | e7368eaa-a7c3-4392-b61d-95472fc78115 | e7368eaa-a7c3-4392-b61d-95472fc78115 | human | null | null | none | abstracts | Graphs of Edge-Intersecting and Non-Splitting One Bend Paths in a Grid | null | The families EPT (resp. EPG) Edge Intersection Graphs of Paths in a tree
(resp. in a grid) are well studied graph classes. Recently we introduced the
graph classes Edge-Intersecting and Non-Splitting Paths in a Tree ENPT, and in
a Grid (ENPG). It was shown that ENPG contains an infinite hierarchy of
subclasses that a... |
0257fafa-5675-4dc7-91a8-d29ef8b32e26 | 0257fafa-5675-4dc7-91a8-d29ef8b32e26 | 0257fafa-5675-4dc7-91a8-d29ef8b32e26 | human | null | null | none | abstracts | Anomalously Robust Valley Polarization and Valley Coherence in Bilayer
WS2 | null | Coherence is a crucial requirement to realize quantum manipulation through
light-matter interactions. Here we report the observation of anomalously robust
valley polarization and valley coherence in bilayer WS2. The polarization of
the photoluminescence from bilayer WS2 inherits that of the excitation source
with bot... |
a94fcac1-596b-4653-a746-e19849c01dd5 | a94fcac1-596b-4653-a746-e19849c01dd5 | a94fcac1-596b-4653-a746-e19849c01dd5 | human | null | null | none | abstracts | Snow Leopard Permutations and Their Even and Odd Threads | null | Caffrey, Egge, Michel, Rubin and Ver Steegh recently introduced snow leopard
permutations, which are the anti-Baxter permutations that are compatible with
the doubly alternating Baxter permutations. Among other things, they showed
that these permutations preserve parity, and that the number of snow leopard
permutatio... |
909795aa-53e6-48b7-be21-e9509f263a31 | 909795aa-53e6-48b7-be21-e9509f263a31 | 909795aa-53e6-48b7-be21-e9509f263a31 | human | null | null | none | abstracts | Interval identification of FMR parameters for spin reorientation
transition in (Ga,Mn)As | null | In this work we report results of ferromagnetic resonance studies of a 6% 15
nm (Ga,Mn)As layer, deposited on (001)-oriented GaAs. The measurements were
performed with in-plane oriented magnetic field, in the temperature range
between 5K and 120K. We observe a temperature induced reorientation of the
effective in-pla... |
749be9ce-4f8b-4e69-a05a-27d3730368da | 749be9ce-4f8b-4e69-a05a-27d3730368da | 749be9ce-4f8b-4e69-a05a-27d3730368da | human | null | null | none | abstracts | A generalised comparison principle for the Monge-Amp\`ere equation and
the pressure in 2D fluid flows | null | We extend the generalised comparison principle for the Monge-Amp\`ere
equation due to Rauch & Taylor (Rocky Mountain J. Math. 7, 1977) to nonconvex
domains. From the generalised comparison principle we deduce bounds (from above
and below) on solutions of the Monge-Amp\`ere equation with sign-changing
right-hand side.... |
86484d14-c9f8-48f1-9335-45e90b944c97 | 86484d14-c9f8-48f1-9335-45e90b944c97 | 86484d14-c9f8-48f1-9335-45e90b944c97 | human | null | null | none | abstracts | A Galois-dynamics correspondence for unicritical polynomials | null | In an analogy with the Galois homothety property for torsion points of
abelian varieties that was used in the proof of the Mordell-Lang conjecture, we
describe a correspondence between the action of a Galois group and the
dynamical action of a rational map. For nonlinear polynomials with rational
coefficients, the ir... |
5ee089b2-f76f-4937-8124-a50e97cca937 | 5ee089b2-f76f-4937-8124-a50e97cca937 | 5ee089b2-f76f-4937-8124-a50e97cca937 | human | null | null | none | abstracts | Positively deflected anomaly mediation in the light of the Higgs boson
discovery | null | Anomaly-mediated supersymmetry breaking (AMSB) is a well-known mechanism for
flavor-blind transmission of supersymmetry breaking from the hidden sector to
the visible sector. However, the pure AMSB scenario suffers from a serious
drawback, namely, the tachyonic slepton problem, and needs to be extended. The
so-called... |
79ecf2c6-7247-4fbf-9fba-fc8b2cc25f83 | 79ecf2c6-7247-4fbf-9fba-fc8b2cc25f83 | 79ecf2c6-7247-4fbf-9fba-fc8b2cc25f83 | human | null | null | none | abstracts | Remote transfer of Gaussian quantum discord | null | Quantum discord quantifies quantum correlation between quantum systems, which
has potential application in quantum information processing. In this paper, we
propose a scheme realizing the remote transfer of Gaussian quantum discord, in
which another quantum discordant state or an Einstein-Podolsky-Rosen entangled
sta... |
6229cf32-7026-477a-92a7-7e875ae06994 | 6229cf32-7026-477a-92a7-7e875ae06994 | 6229cf32-7026-477a-92a7-7e875ae06994 | human | null | null | none | abstracts | Minimalist design of a robust real-time quantum random number generator | null | We present a simple and robust construction of a real-time quantum random
number generator (QRNG). Our minimalist approach ensures stable operation of
the device as well as its simple and straightforward hardware implementation as
a stand-alone module. As a source of randomness the device uses measurements of
time in... |
85b78479-e917-4a67-8f3a-56b8ac43bd57 | 85b78479-e917-4a67-8f3a-56b8ac43bd57 | 85b78479-e917-4a67-8f3a-56b8ac43bd57 | human | null | null | none | abstracts | Fast Solvers for Unsteady Thermal Fluid Structure Interaction | null | We consider time dependent thermal fluid structure interaction. The
respective models are the compressible Navier-Stokes equations and the
nonlinear heat equation. A partitioned coupling approach via a
Dirichlet-Neumann method and a fixed point iteration is employed. As a refence
solver a previously developed efficie... |
ef2f4ac0-546f-4dc0-a07e-9fd37bd51dfb | ef2f4ac0-546f-4dc0-a07e-9fd37bd51dfb | ef2f4ac0-546f-4dc0-a07e-9fd37bd51dfb | human | null | null | none | abstracts | Impact of electrode density of states on transport through
pyridine-linked single molecule junctions | null | We study the impact of electrode band structure on transport through
single-molecule junctions by measuring the conductance of pyridine-based
molecules using Ag and Au electrodes. Our experiments are carried out using the
scanning tunneling microscope based break-junction technique and are supported
by density functi... |
7a0944e8-f2a5-4c82-87b5-232fcad14e61 | 7a0944e8-f2a5-4c82-87b5-232fcad14e61 | 7a0944e8-f2a5-4c82-87b5-232fcad14e61 | human | null | null | none | abstracts | Quantitative Automata under Probabilistic Semantics | null | Automata with monitor counters, where the transitions do not depend on
counter values, and nested weighted automata are two expressive
automata-theoretic frameworks for quantitative properties. For a well-studied
and wide class of quantitative functions, we establish that automata with
monitor counters and nested wei... |
064f466c-9fd4-442b-9f0d-105eb023214f | 064f466c-9fd4-442b-9f0d-105eb023214f | 064f466c-9fd4-442b-9f0d-105eb023214f | human | null | null | none | abstracts | Solving the Crystallographic Phase Problem using Dynamical Scattering in
Electron Diffraction | null | Solving crystal structures from kinematical X-ray or electron diffraction
patterns of single crystals requires many more diffracted beams to be recorded
than there are atoms in the structure, since the phases of the structure
factors can only be retrieved from such data if the atoms can be resolved as
sharply peaked ... |
b47fe644-edfe-4c59-9bb7-21fd35d526c7 | b47fe644-edfe-4c59-9bb7-21fd35d526c7 | b47fe644-edfe-4c59-9bb7-21fd35d526c7 | human | null | null | none | abstracts | Operational Concurrency Control in the Face of Arbitrary Scale and
Latency | null | We present for the first time a complete solution to the problem of proving
the correctness of a concurrency control algorithm for collaborative text
editors against the standard consistency model. The success of our approach
stems from the use of comprehensive stringwise operational transformations,
which appear to ... |
3eb80403-4158-42dd-8a9a-e5157c77be3f | 3eb80403-4158-42dd-8a9a-e5157c77be3f | 3eb80403-4158-42dd-8a9a-e5157c77be3f | human | null | null | none | abstracts | A Demonstration of Spectral Level Reconstruction of Intrinsic $B$-mode
Power | null | We investigate the prospects and consequences of the spectral level
reconstruction of primordial $B$-mode power by solving the systems of linear
equations assuming that the lensing potential together with the lensed
polarization spectra are already in hand. We find that this reconstruction
technique may be very usefu... |
ab094ddc-e98e-47f6-887c-5395c56a5bf0 | ab094ddc-e98e-47f6-887c-5395c56a5bf0 | ab094ddc-e98e-47f6-887c-5395c56a5bf0 | human | null | null | none | abstracts | A Universal Parallel Two-Pass MDL Context Tree Compression Algorithm | null | Computing problems that handle large amounts of data necessitate the use of
lossless data compression for efficient storage and transmission. We present a
novel lossless universal data compression algorithm that uses parallel
computational units to increase the throughput. The length-$N$ input sequence
is partitioned... |
c1d1f89f-6fab-486a-93a1-5d06f4fcedf1 | c1d1f89f-6fab-486a-93a1-5d06f4fcedf1 | c1d1f89f-6fab-486a-93a1-5d06f4fcedf1 | human | null | null | none | abstracts | Multicell Coordinated Beamforming with Rate Outage Constraint--Part II:
Efficient Approximation Algorithms | null | This paper studies the coordinated beamforming (CoBF) design for the
multiple-input single-output interference channel, provided that only channel
distribution information is known to the transmitters. The problem under
consideration is a probabilistically constrained optimization problem which
maximizes a predefined... |
30c90b06-1b85-4df9-8f8b-b1336b0da6ff | 30c90b06-1b85-4df9-8f8b-b1336b0da6ff | 30c90b06-1b85-4df9-8f8b-b1336b0da6ff | human | null | null | none | abstracts | Analyzing sparse dictionaries for online learning with kernels | null | Many signal processing and machine learning methods share essentially the
same linear-in-the-parameter model, with as many parameters as available
samples as in kernel-based machines. Sparse approximation is essential in many
disciplines, with new challenges emerging in online learning with kernels. To
this end, seve... |
24d1869e-7eb9-47df-95ab-559549c3b8b3 | 24d1869e-7eb9-47df-95ab-559549c3b8b3 | 24d1869e-7eb9-47df-95ab-559549c3b8b3 | human | null | null | none | abstracts | Similar submodules and coincidence site modules | null | We consider connections between similar sublattices and coincidence site
lattices (CSLs), and more generally between similar submodules and coincidence
site modules of general (free) $\mathbb{Z}$-modules in $\mathbb{R}^d$.
In particular, we generalise results obtained by S. Glied and M. Baake [1,2]
on similarity an... |
5ca598f9-77fd-4317-b7ad-6cec20c8e51e | 5ca598f9-77fd-4317-b7ad-6cec20c8e51e | 5ca598f9-77fd-4317-b7ad-6cec20c8e51e | human | null | null | none | abstracts | Residual Amplitude Modulation in Interferometric Gravitational Wave
Detectors | null | The effects of residual amplitude modulation (RAM) in laser interferometers
using heterodyne sensing can be substantial and difficult to mitigate. In this
work, we analyze the effects of RAM on a complex laser interferometer used for
gravitational wave detection. The RAM introduces unwanted offsets in the cavity
leng... |
7e134c6f-bb25-4cf2-b274-5f288af3209e | 7e134c6f-bb25-4cf2-b274-5f288af3209e | 7e134c6f-bb25-4cf2-b274-5f288af3209e | human | null | null | none | abstracts | A Large Scale Pattern from Optical Quasar Polarization Vectors | null | The 355 optically polarized QSOs have redshifts from 0.061 to 3.94 and are
spread out over the sky except for a 60 degree band centered on the Galactic
Equator. The data we analyze was measured, collected and published by others.
Here, we apply tests suitable for large-scale samples and find that the
polarization dir... |
b8249d5a-52e4-4f91-9ce6-8cb6c7d70e71 | b8249d5a-52e4-4f91-9ce6-8cb6c7d70e71 | b8249d5a-52e4-4f91-9ce6-8cb6c7d70e71 | human | null | null | none | abstracts | A Framework for Certified Self-Stabilization | null | We propose a general framework to build certified proofs of distributed
self-stabilizing algorithms with the proof assistant Coq. We first define in
Coq the locally shared memory model with composite atomicity, the most commonly
used model in the self-stabilizing area. We then validate our framework by
certifying a n... |
0cfff216-72b5-4897-92ea-4bb3a85e8967 | 0cfff216-72b5-4897-92ea-4bb3a85e8967 | 0cfff216-72b5-4897-92ea-4bb3a85e8967 | human | null | null | none | abstracts | Irreversible 2-conversion set in graphs of bounded degree | null | An irreversible $k$-threshold process (also a $k$-neighbor bootstrap
percolation) is a dynamic process on a graph where vertices change color from
white to black if they have at least $k$ black neighbors. An irreversible
$k$-conversion set of a graph $G$ is a subset $S$ of vertices of $G$ such that
the irreversible $... |
7024dcad-779f-49d6-8b37-469fa4e6666a | 7024dcad-779f-49d6-8b37-469fa4e6666a | 7024dcad-779f-49d6-8b37-469fa4e6666a | human | null | null | none | abstracts | Discrete and Continuous-time Soft-Thresholding with Dynamic Inputs | null | There exist many well-established techniques to recover sparse signals from
compressed measurements with known performance guarantees in the static case.
However, only a few methods have been proposed to tackle the recovery of
time-varying signals, and even fewer benefit from a theoretical analysis. In
this paper, we... |
ad7cc68e-e486-4e98-9bba-bfc51931edc3 | ad7cc68e-e486-4e98-9bba-bfc51931edc3 | ad7cc68e-e486-4e98-9bba-bfc51931edc3 | human | null | null | none | abstracts | Who Can Win a Single-Elimination Tournament? | null | A single-elimination (SE) tournament is a popular way to select a winner in
both sports competitions and in elections. A natural and well-studied question
is the tournament fixing problem (TFP): given the set of all pairwise match
outcomes, can a tournament organizer rig an SE tournament by adjusting the
initial seed... |
f44b18d2-a324-4798-9b17-81df038cef9b | f44b18d2-a324-4798-9b17-81df038cef9b | f44b18d2-a324-4798-9b17-81df038cef9b | human | null | null | none | abstracts | Collaborative sparse regression using spatially correlated supports -
Application to hyperspectral unmixing | null | This paper presents a new Bayesian collaborative sparse regression method for
linear unmixing of hyperspectral images. Our contribution is twofold; first, we
propose a new Bayesian model for structured sparse regression in which the
supports of the sparse abundance vectors are a priori spatially correlated
across pix... |
11ad7099-7db8-4014-af2d-9652ef0f7876 | 11ad7099-7db8-4014-af2d-9652ef0f7876 | 11ad7099-7db8-4014-af2d-9652ef0f7876 | human | null | null | none | abstracts | Van der Waals density-functional theory study for bulk solids with BCC,
FCC, and diamond structures | null | Proper inclusion of van der Waals (vdW) interactions in theoretical
simulations based on standard density functional theory (DFT) is crucial to
describe the physics and chemistry of systems such as organic and layered
materials. Many encouraging approaches have been proposed to combine vdW
interactions with standard ... |
871ae8c7-ec54-4eed-b654-17812828bbe4 | 871ae8c7-ec54-4eed-b654-17812828bbe4 | 871ae8c7-ec54-4eed-b654-17812828bbe4 | human | null | null | none | abstracts | Weighted Sobolev Spaces on Metric Measure Spaces | null | We investigate weighted Sobolev spaces on metric measure spaces $(X,d,m)$.
Denoting by $\rho$ the weight function, we compare the space $W^{1,p}(X,d,\rho
m)$ (which always concides with the closure $H^{1,p}(X,d,\rho m)$ of Lipschitz
functions) with the weighted Sobolev spaces $W^{1,p}_\rho(X,d,m)$ and
$H^{1,p}_\rho(X... |
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