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Adaptive Densely Connected Super-Resolution Reconstruction
For a better performance in single image super-resolution(SISR), we pres...
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Deep Robust Multilevel Semantic Cross-Modal Hashing
Hashing based cross-modal retrieval has recently made significant progre...
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Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT
Chest computed tomography (CT) becomes an effective tool to assist the d...
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Deep Learning for Spatio-Temporal Data Mining: A Survey
With the fast development of various positioning techniques such as Glob...
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Shared Space Transfer Learning for analyzing multi-site fMRI data
Multi-voxel pattern analysis (MVPA) learns predictive models from task-b...
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Multi-Objective Cognitive Model: a supervised approach for multi-subject fMRI analysis
In order to decode the human brain, Multivariate Pattern (MVP) classific...
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Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning
In the process of exploring the world, the curiosity constantly drives h...
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On the Search for Feedback in Reinforcement Learning
This paper addresses the problem of learning the optimal feedback policy...
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With False Friends Like These, Who Can Have Self-Knowledge?
Adversarial examples arise from excessive sensitivity of a model. Common...
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Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations
We propose a deep fully convolutional neural network with a new type of ...
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MLCVNet: Multi-Level Context VoteNet for 3D Object Detection
In this paper, we address the 3D object detection task by capturing mult...
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Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification
CNNs, RNNs, GCNs, and CapsNets have shown significant insights in repres...
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Robust and Natural Physical Adversarial Examples for Object Detectors
Recently, many studies show that deep neural networks (DNNs) are suscept...
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Deep Hyperalignment
This paper proposes Deep Hyperalignment (DHA) as a regularized, deep ext...
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Anatomical Pattern Analysis for decoding visual stimuli in human brains
Background: A universal unanswered question in neuroscience and machine ...
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Unsupervised Feature Learning with C-SVDDNet
In this paper, we investigate the problem of learning feature representa...
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Local Discriminant Hyperalignment for multi-subject fMRI data alignment
Multivariate Pattern (MVP) classification can map different cognitive st...
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Personalized Age Progression with Bi-level Aging Dictionary Learning
Age progression is defined as aesthetically re-rendering the aging face ...
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Multi-Region Neural Representation: A novel model for decoding visual stimuli in human brains
Multivariate Pattern (MVP) classification holds enormous potential for d...
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WoCE: a framework for clustering ensemble by exploiting the wisdom of Crowds theory
The Wisdom of Crowds (WOC), as a theory in the social science, gets a ne...
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Stochastic Alternating Direction Method of Multipliers with Variance Reduction for Nonconvex Optimization
In the paper, we study the stochastic alternating direction method of mu...
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Decoding visual stimuli in human brain by using Anatomical Pattern Analysis on fMRI images
A universal unanswered question in neuroscience and machine learning is ...
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A Hierarchical Image Matting Model for Blood Vessel Segmentation in Fundus images
In this paper, a hierarchical image matting model is proposed to extract...
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Weighted Spectral Cluster Ensemble
Clustering explores meaningful patterns in the non-labeled data sets. Cl...
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Joint Gender Classification and Age Estimation by Nearly Orthogonalizing Their Semantic Spaces
In human face-based biometrics, gender classification and age estimation...
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A Unified Gender-Aware Age Estimation
Human age estimation has attracted increasing researches due to its wide...
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Bayesian Neighbourhood Component Analysis
Learning a good distance metric in feature space potentially improves th...
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l_2,p Matrix Norm and Its Application in Feature Selection
Recently, l_2,1 matrix norm has been widely applied to many areas such a...
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Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification
Brain Electroencephalography (EEG) classification is widely applied to a...
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Ensemble Neural Relation Extraction with Adaptive Boosting
Relation extraction has been widely studied to extract new relational fa...
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Mini-Batch Stochastic ADMMs for Nonconvex Nonsmooth Optimization
In the paper, we study the mini-batch stochastic ADMMs (alternating dire...
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MOEA/D with Angle-based Constrained Dominance Principle for Constrained Multi-objective Optimization Problems
This paper proposes a novel constraint-handling mechanism named angle-ba...
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Cost-Effective Training of Deep CNNs with Active Model Adaptation
Deep convolutional neural networks have achieved great success in variou...
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Active Feature Acquisition with Supervised Matrix Completion
Feature missing is a serious problem in many applications, which may lea...
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Cross-Domain Recommendation for Cold-Start Users via Neighborhood Based Feature Mapping
Collaborative Filtering (CF) is a widely adopted technique in recommende...
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Locating the boundaries of Pareto fronts: A Many-Objective Evolutionary Algorithm Based on Corner Solution Search
In this paper, an evolutionary many-objective optimization algorithm bas...
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MDS codes with arbitrary dimensional hull and their applications
The hull of linear codes have promising utilization in coding theory and...
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signSGD with Majority Vote is Communication Efficient And Byzantine Fault Tolerant
Training neural networks on large datasets can be accelerated by distrib...
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Multiuser Wirelessly Powered Backscatter Communications: Nonlinearity, Waveform Design and SINR-Energy Tradeoff
Wireless power transfer and backscatter communications have emerged as p...
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Markov chain Monte Carlo Methods For Lattice Gaussian Sampling: Lattice Reduction and Decoding Optimization
Sampling from the lattice Gaussian distribution has emerged as an import...
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ALiPy: Active Learning in Python
Supervised machine learning methods usually require a large set of label...
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Pornographic Image Recognition via Weighted Multiple Instance Learning
In the era of Internet, recognizing pornographic images is of great sign...
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Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization
Proximal gradient method has been playing an important role to solve man...
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SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction
Generative Adversarial Networks (GANs) are powerful tools for reconstruc...
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CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for Source Code Modeling
Recently many NLP-based deep learning models have been applied to model ...
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One-Pass Incomplete Multi-view Clustering
Real data are often with multiple modalities or from multiple heterogene...
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User Review-Based Change File Localization for Mobile Applications
In the current mobile app development, novel and emerging DevOps practic...
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Doubly Aligned Incomplete Multi-view Clustering
Nowadays, multi-view clustering has attracted more and more attention. T...
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Multi-Hot Compact Network Embedding
Network embedding, as a promising way of the network representation lear...
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Mutual Clustering on Comparative Texts via Heterogeneous Information Networks
Currently, many intelligence systems contain the texts from multi-source...
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