Abandoned, Removed and Moved Object Classification.
Scene Categorization Through Combining LBP and SIFT Features Effectively.
An Efficient Method for Computing a Bayesian Mixture of Feature-Based Models.
HCNN: A Neural Network Model for Combining Local and Global Features Towards Human-Like Classification.
Hyperspectral Data Feature Extraction Using Rational Function Curve Fitting.
Robust Personalized Ranking from Implicit Feedback.
BSFCoS: Block and Sparse Principal Component Analysis-Based Fast Co-Saliency Detection Method.
A Kernel Two-Phase Test Sample Sparse Representation for Face Recognition.
An Efficient Two-Stage Sparse Representation Method.
A Constrained Multi-Objective Evolutionary Algorithm Based on Boundary Search and Archive.
Twin Bounded Support Tensor Machine for Classification.