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Cyber Attack Detection thanks to Machine Learning Algorithms
Cybersecurity attacks are growing both in frequency and sophistication o...
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Explaining the data or explaining a model? Shapley values that uncover non-linear dependencies
Shapley values have become increasingly popular in the machine learning ...
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Attention-based Recurrent Neural Network for Urban Vehicle Trajectory Prediction
As the number of various positioning sensors and location-based devices ...
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DBRec: Dual-Bridging Recommendation via Discovering Latent Groups
In recommender systems, the user-item interaction data is usually sparse...
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Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors
The impressive performance of deep convolutional neural networks in sing...
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Implicitly Defined Layers in Neural Networks
In conventional formulations of multilayer feedforward neural networks, ...
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Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph
In recent years, ride-hailing services have been increasingly prevalent ...
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3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification
In this paper, we introduce a global video representation to video-based...
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ZSTAD: Zero-Shot Temporal Activity Detection
An integral part of video analysis and surveillance is temporal activity...
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Few-Shot Deep Adversarial Learning for Video-based Person Re-identification
Video-based person re-identification (re-ID) refers to matching people a...
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Estimation of Classification Rules from Partially Classified Data
We consider the situation where the observed sample contains some observ...
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Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification
Video-based person re-identification (re-id) is a central application in...
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Adversarial Bipartite Graph Learning for Video Domain Adaptation
Domain adaptation techniques, which focus on adapting models between dis...
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Deep neural network or dermatologist?
Deep learning techniques have proven high accuracy for identifying melan...
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Rethinking Generative Zero-Shot Learning: An Ensemble Learning Perspective for Recognising Visual Patches
Zero-shot learning (ZSL) is commonly used to address the very pervasive ...
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Partially Observable Planning and Learning for Systems with Non-Uniform Dynamics
We propose a neural network architecture, called TransNet, that combines...
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Deep Instance-Level Hard Negative Mining Model for Histopathology Images
Histopathology image analysis can be considered as a Multiple instance l...
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ProbeSim: Scalable Single-Source and Top-k SimRank Computations on Dynamic Graphs
Single-source and top-k SimRank queries are two important types of simil...
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TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition
This work tackles the face recognition task on images captured using the...
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GIANT: Globally Improved Approximate Newton Method for Distributed Optimization
For distributed computing environments, we consider the canonical machin...
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Second-Order Optimization for Non-Convex Machine Learning: An Empirical Study
The resurgence of deep learning, as a highly effective machine learning ...
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Newton-Type Methods for Non-Convex Optimization Under Inexact Hessian Information
We consider variants of trust-region and cubic regularization methods fo...
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Where to Focus: Deep Attention-based Spatially Recurrent Bilinear Networks for Fine-Grained Visual Recognition
Fine-grained visual recognition typically depends on modeling subtle dif...
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Multi-View Spectral Clustering via Structured Low-Rank Matrix Factorization
Multi-view data clustering attracts more attention than their single vie...
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Finding Modes by Probabilistic Hypergraphs Shifting
In this paper, we develop a novel paradigm, namely hypergraph shift, to ...
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Beyond Low-Rank Representations: Orthogonal Clustering Basis Reconstruction with Optimized Graph Structure for Multi-view Spectral Clustering
Low-Rank Representation (LRR) is arguably one of the most powerful parad...
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Do Reichenbachian Common Cause Systems of Arbitrary Finite Size Exist?
The principle of common cause asserts that positive correlations between...
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From Community Detection to Community Profiling
Most existing community-related studies focus on detection, which aim to...
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Discrete Multi-modal Hashing with Canonical Views for Robust Mobile Landmark Search
Mobile landmark search (MLS) recently receives increasing attention for ...
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Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification
Person re-identification (re-id) aims to match pedestrians observed by d...
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Using Simulated Annealing to Calculate the Trembles of Trembling Hand Perfection
Within the literature on non-cooperative game theory, there have been a ...
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Determining the best attributes for surveillance video keywords generation
Automatic video keyword generation is one of the key ingredients in redu...
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A Stochastic Process Model of Classical Search
Among classical search algorithms with the same heuristic information, w...
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Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks
This work shows that it is possible to fool/attack recent state-of-the-a...
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Binary Subspace Coding for Query-by-Image Video Retrieval
The query-by-image video retrieval (QBIVR) task has been attracting cons...
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What is the Best Way for Extracting Meaningful Attributes from Pictures?
Automatic attribute discovery methods have gained in popularity to extra...
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Where to Focus: Query Adaptive Matching for Instance Retrieval Using Convolutional Feature Maps
Instance retrieval requires one to search for images that contain a part...
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Zero-Shot Hashing via Transferring Supervised Knowledge
Hashing has shown its efficiency and effectiveness in facilitating large...
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Automatic and Quantitative evaluation of attribute discovery methods
Many automatic attribute discovery methods have been developed to extrac...
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Order-aware Convolutional Pooling for Video Based Action Recognition
Most video based action recognition approaches create the video-level re...
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Temporal Pyramid Pooling Based Convolutional Neural Networks for Action Recognition
Encouraged by the success of Convolutional Neural Networks (CNNs) in ima...
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A Discriminative CNN Video Representation for Event Detection
In this paper, we propose a discriminative video representation for even...
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Hashing for Similarity Search: A Survey
Similarity search (nearest neighbor search) is a problem of pursuing the...
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Discovering Discriminative Cell Attributes for HEp-2 Specimen Image Classification
Recently, there has been a growing interest in developing Computer Aided...
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Face Identification with Second-Order Pooling
Automatic face recognition has received significant performance improvem...
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Face Image Classification by Pooling Raw Features
We propose a very simple, efficient yet surprisingly effective feature e...
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A Very Fast Algorithm for Matrix Factorization
We present a very fast algorithm for general matrix factorization of a d...
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The Parameter-Less Self-Organizing Map algorithm
The Parameter-Less Self-Organizing Map (PLSOM) is a new neural network a...
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Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection
The proliferation of social media in communication and information disse...
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Bidirectional Long-Short Term Memory for Video Description
Video captioning has been attracting broad research attention in multime...
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