
A Survey on Concept Factorization: From Shallow to Deep Representation Learning
The quality of learned features by representation learning determines th...
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LinSBFT: LinearCommunication OneStep BFT Protocol for Public Blockchains
This paper presents LinSBFT, a Byzantine Fault Tolerance (BFT) protocol ...
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Highway Traffic State Estimation Using Physics Regularized Gaussian Process: Discretized Formulation
Despite the success of classical traffic flow (e.g., secondorder macros...
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Convolutional Neural Network Training with Distributed KFAC
Training neural networks with many processors can reduce timetosolutio...
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Unsupervised Vehicle Reidentification with Progressive Adaptation
Vehicle reidentification (reID) aims at identifying vehicles across dif...
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The Limit of the Batch Size
Largebatch training is an efficient approach for current distributed de...
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Bilateral Attention Network for RGBD Salient Object Detection
Most existing RGBD salient object detection (SOD) methods focus on the ...
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GradientInduced CoSaliency Detection
Cosaliency detection (CoSOD) aims to segment the common salient foregr...
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Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: A New Insight into Machine Learning Applications
Despite the wide implementation of machine learning (ML) techniques in t...
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SemiDerainGAN: A New Semisupervised Single Image Deraining Network
Removing the rain streaks from single image is still a challenging task,...
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Fast Dense Residual Network: Enhancing Global Dense Feature Flow for Text Recognition
Deep Convolutional Neural Networks (CNNs), such as Dense Convolutional N...
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Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space
In this paper, we investigate the robust dictionary learning (DL) to dis...
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Fast DenseNet: Towards Efficient and Accurate Text Recognition with Fast Dense Networks
Convolutional Recurrent Neural Network (CRNN) is a popular network for r...
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DerainCycleGAN: An Attentionguided Unsupervised Benchmark for Single Image Deraining and Rainmaking
Single image deraining (SID) is an important and challenging topic in em...
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Multilayer Collaborative LowRank Coding Network for Robust Deep Subspace Discovery
For subspace recovery, most existing lowrank representation (LRR) model...
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FullyConvolutional Intensive Feature Flow Neural Network for Text Recognition
The Deep Convolutional Neural Networks (CNNs) have obtained a great succ...
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Deep Selfrepresentative Concept Factorization Network for Representation Learning
In this paper, we investigate the unsupervised deep representation learn...
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Diversifying Inference Path Selection: MovingMobileNetwork for Landmark Recognition
Deep convolutional neural networks have largely benefited computer visio...
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Kernelized Multiview Subspace Analysis by Selfweighted Learning
With the popularity of multimedia technology, information is always repr...
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Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning
In this paper, we propose a structured Robust Adaptive Dictionary Pair ...
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Robust TripleMatrixRecoveryBased AutoWeighted Label Propagation for Classification
The graphbased semisupervised label propagation algorithm has delivere...
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Flexible Autoweighted Localcoordinate Concept Factorization: A Robust Framework for Unsupervised Clustering
Concept Factorization (CF) and its variants may produce inaccurate repre...
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A CoarsetoFine Multistream Hybrid Deraining Network for Single Image Deraining
Single image deraining task is still a very challenging task due to its ...
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Learning Structured TwinIncoherent TwinProjective Latent Dictionary Pairs for Classification
In this paper, we extend the popular dictionary pair learning (DPL) into...
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Robust Subspace Discovery by Blockdiagonal Adaptive Localityconstrained Representation
We propose a novel and unsupervised representation learning model, i.e.,...
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Rethinking RGBD Salient Object Detection: Models, Datasets, and LargeScale Benchmarks
The use of RGBD information for salient object detection has been explo...
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On Approximating Partial Set Cover and Generalizations
Partial Set Cover (PSC) is a generalization of the wellstudied Set Cove...
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Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning
We propose a joint subspace recovery and enhanced locality based robust ...
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KernelInduced Label Propagation by Mapping for SemiSupervised Classification
Kernel methods have been successfully applied to the areas of pattern re...
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Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier
In this paper, we propose an analysis mechanism based structured Analysi...
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Joint Label Prediction based SemiSupervised Adaptive Concept Factorization for Robust Data Representation
Constrained Concept Factorization (CCF) yields the enhanced representati...
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Scalable BlockDiagonal LocalityConstrained Projective Dictionary Learning
We propose a novel structured discriminative blockdiagonal dictionary l...
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Robust Unsupervised Flexible Autoweighted LocalCoordinate Concept Factorization for Image Clustering
We investigate the highdimensional data clustering problem by proposing...
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Concurrency Protocol Aiming at High Performance of Execution and Replay for Smart Contracts
Although the emergence of the programmable smart contract makes blockcha...
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Extremality and Sharp Bounds for the kedgeconnectivity of Graphs
Boesch and Chen (SIAM J. Appl. Math., 1978) introduced the cutversion o...
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Approximation Algorithm for the Partial Set MultiCover Problem
Partial set cover problem and set multicover problem are two generaliza...
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FanStore: Enabling Efficient and Scalable I/O for Distributed Deep Learning
Emerging Deep Learning (DL) applications introduce heavy I/O workloads o...
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Human activity recognition based on time series analysis using UNet
Traditional human activity recognition (HAR) based on time series adopts...
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Fast and Robust Subspace Clustering Using Random Projections
Over the past several decades, subspace clustering has been receiving in...
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GameTheoretic Design of Optimal TwoSided Rating Protocols for Service Exchange Dilemma in Crowdsourcing
Despite the increasing popularity and successful examples of crowdsourci...
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Rating Protocol Design for Extortion and Cooperation in the Crowdsourcing Contest Dilemma
Crowdsourcing has emerged as a paradigm for leveraging human intelligenc...
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ImageNet Training in Minutes
Finishing 90epoch ImageNet1k training with ResNet50 on a NVIDIA M40 G...
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Zhao Zhang
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