
Group Preserving Label Embedding for MultiLabel Classification
Multilabel learning is concerned with the classification of data with m...
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Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images
Deep learning based object detectors require thousands of diversified bo...
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Binary Document Image Super Resolution for Improved Readability and OCR Performance
There is a need for information retrieval from large collections of low...
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SIMILARnet: Simultaneous Intelligent Localization and Recognition Network
Global Average Pooling (GAP) [4] has been used previously to generate cl...
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A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications
Bilevel optimization is defined as a mathematical program, where an opti...
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Generative Adversarial Residual Pairwise Networks for One Shot Learning
Deep neural networks achieve unprecedented performance levels over many ...
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Image Segmentation of MultiShaped Overlapping Objects
In this work, we propose a new segmentation algorithm for images contain...
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Rethinking Convolutional Semantic Segmentation Learning
Deep convolutional semantic segmentation (DCSS) learning doesn't converg...
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MultiAgent QLearning for Minimizing DemandSupply Power Deficit in Microgrids
We consider the problem of minimizing the difference in the demand and t...
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Learning RBM with a DC programming Approach
By exploiting the property that the RBM loglikelihood function is the d...
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Visualization Regularizers for Neural Network based Image Recognition
The success of deep neural networks is mostly due their ability to learn...
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Correlation and Class Based Block Formation for Improved Structured Dictionary Learning
In recent years, the creation of blockstructured dictionary has attract...
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Deep Learning: Generalization Requires Deep Compositional Feature Space Design
Generalization error defines the discriminability and the representation...
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F0 Modeling In HmmBased Speech Synthesis System Using Deep Belief Network
In recent years multilayer perceptrons (MLPs) with many hid den layers ...
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CrossLingual Predicate Mapping Between Linked Data Ontologies
Ontologies in different natural languages often differ in quality in ter...
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Multilevel SVM Based CAD Tool for Classifying Structural MRIs
The revolutionary developments in the field of supervised machine learni...
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KGEval: Estimating Accuracy of Automatically Constructed Knowledge Graphs
Automatic construction of large knowledge graphs (KG) by mining webscal...
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Cheshire: An Online Algorithm for Activity Maximization in Social Networks
User engagement in social networks depends critically on the number of o...
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Spectral Clustering via Graph Filtering: Consistency on the HighDimensional Stochastic Block Model
Spectral clustering is amongst the most popular methods for community de...
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Efficient Discovery of Large Synchronous Events in Neural Spike Streams
We address the problem of finding patterns from multineuronal spike tra...
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Robustness of Voice Conversion Techniques Under Mismatched Conditions
Most of the existing studies on voice conversion (VC) are conducted in a...
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Deep Variational Inference Without PixelWise Reconstruction
Variational autoencoders (VAEs), that are built upon deep neural network...
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Language Independent Single Document Image SuperResolution using CNN for improved recognition
Recognition of document images have important applications in restoring ...
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Pruned nonlocal means
In NonLocal Means (NLM), each pixel is denoised by performing a weighte...
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Manipulation is Harder with Incomplete Votes
The Coalitional Manipulation (CM) problem has been studied extensively i...
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Frugal Bribery in Voting
Bribery in elections is an important problem in computational social cho...
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Exploring Bayesian Models for Multilevel Clustering of Hierarchically Grouped Sequential Data
A wide range of Bayesian models have been proposed for data that is divi...
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Support Vector Algorithms for Optimizing the Partial Area Under the ROC Curve
The area under the ROC curve (AUC) is a widely used performance measure ...
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BASS Net: BandAdaptive SpectralSpatial Feature Learning Neural Network for Hyperspectral Image Classification
Deep learning based landcover classification algorithms have recently be...
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Variational methods for Conditional Multimodal Deep Learning
In this paper, we address the problem of conditional modality learning, ...
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Collaborative Learning of Stochastic Bandits over a Social Network
We consider a collaborative online learning paradigm, wherein a group of...
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That's sick dude!: Automatic identification of word sense change across different timescales
In this paper, we propose an unsupervised method to identify noun sense ...
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Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques
In a series of recent works, we have generalised the consistency results...
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Sliding Dictionary Based Sparse Representation For Action Recognition
The task of action recognition has been in the forefront of research, gi...
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Deep Neural Ensemble for Retinal Vessel Segmentation in Fundus Images towards Achieving Labelfree Angiography
Automated segmentation of retinal blood vessels in labelfree fundus ima...
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Diffusion Adaptation Over Clustered Multitask Networks Based on the Affine Projection Algorithm
Distributed adaptive networks achieve better estimation performance by e...
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Surrogate Functions for Maximizing Precision at the Top
The problem of maximizing precision at the top of a ranked list, often d...
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Optimizing Nondecomposable Performance Measures: A Tale of Two Classes
Modern classification problems frequently present mild to severe label i...
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Consistency of Spectral Hypergraph Partitioning under Planted Partition Model
Hypergraph partitioning lies at the heart of a number of problems in mac...
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Stability of Stochastic Approximations with `Controlled Markov' Noise and Temporal Difference Learning
In this paper we present a `stability theorem' for stochastic approximat...
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Stochastic recursive inclusion in two timescales with an application to the Lagrangian dual problem
In this paper we present a framework to analyze the asymptotic behavior ...
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A Generalization of the BorkarMeyn Theorem for Stochastic Recursive Inclusions
In this paper the stability theorem of Borkar and Meyn is extended to in...
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Consistent Classification Algorithms for Multiclass NonDecomposable Performance Metrics
We study consistency of learning algorithms for a multiclass performanc...
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Gaussian Process PseudoLikelihood Models for Sequence Labeling
Several machine learning problems arising in natural language processing...
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Fast and Provably Accurate Bilateral Filtering
The bilateral filter is a nonlinear filter that uses a range filter alo...
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On Fast Bilateral Filtering using Fourier Kernels
It was demonstrated in earlier work that, by approximating its range ker...
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DASA: Domain Adaptation in Stacked Autoencoders using Systematic Dropout
Domain adaptation deals with adapting behaviour of machine learning base...
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Sparse Distributed Learning via Heterogeneous Diffusion Adaptive Networks
Innetwork distributed estimation of sparse parameter vectors via diffus...
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A provable SVDbased algorithm for learning topics in dominant admixture corpus
Topic models, such as Latent Dirichlet Allocation (LDA), posit that docu...
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Online and Stochastic Gradient Methods for Nondecomposable Loss Functions
Modern applications in sensitive domains such as biometrics and medicine...
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ERNET India is established in 1998 as an autonomous scientific society under Ministry of Electronics & Information Technology,(MEIT), Government of India