A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Effi…

Despite the success of stochastic variance-reduced gradient (SVRG) algorithms in solving large-scale problems, their stochastic gradient complexity often scales linearly with data size and is expen…

Deep Learning for Person Re-Identification : A Survey and Outlook

Cameras, Computer Vision, Deep Learning Artificial Intelligence, Feature Extraction, Image Representation, Video Surveillance, Person Re Identification, Nonoverlapping Cameras, Deep Neural Networks…

Deep Learning for Image Super-Resolution : A Survey

Image Super-Resolution (SR) is an important class of image processing techniqueso enhance the resolution of images and videos in computer vision. Recent years have witnessed remarkable progress of …

Paying Attention to Video Object Pattern Understanding

Learning Bregman Distance Functions for Semi-Supervised Clustering

Enhancing Bag-of-Words Models with Semantics-Preserving Metrics Learning

Cost-Sensitive Online Classification

Robust Median Reversion Strategy for Online Portfolio Selection

Online Multi-Modal Distance Metric Learning with Application to Image Retrieval

Retrieval-Based Face Annotation by Weak Label Regularized Local Coordinate Co…