We thought it would be helpful to put together a glossary with definitions of some of the most important words and phrases ...

Abstract: A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: entropy rate ...

Followed by this, the contour cue is taken as a part of a hybrid sparse learning model, in which cues from different domains can interact and complement with each other for joint saliency fusion. This ...

Minor code changes on Visual Experiments, especially dataset preparation. Training & Evaluation Pipeline for Text Experiments, including text classification, text clustering and text retrieval. Minor ...