Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
While multimedia documents are sequentially presented to users, an information filtering (IF) system is useful to achieve a good retrieval performance in terms of both quality and ...
Dianhui Wang, Xiaodi Huang, Yong-Soo Kim, Joon Shi...
We construct an image segmentation scheme that combines top-down (TD) with bottom-up (BU) processing. In the proposed scheme, segmentation and recognition are intertwined rather th...
Although tremendous effort has been put into synthetic libraries, most drugs on the market are still 10 natural compounds or derivatives thereof. There are encyclopaedias of natur...