: This paper proposes the Enhanced Shrinking and Expanding Algorithm (ESEA) with a new categorization method. The ESEA overcomes anomalies in the original Shrinking and Expanding A...
Li-min Liu, Ching-Yu Huang, Tian-Shyr Dai, George ...
Ambiguity is very high for location names. For example, there are 23 cities named `Buffalo' in the U.S. Country names such as `Canada', `Brazil' and `China' ar...
Huifeng Li, Rohini K. Srihari, Cheng Niu, Wei Li 0...
Multiple sequence alignments are essential in homology inference, structure modeling, functional prediction and phylogenetic analysis. We developed a web server that constructs mu...
Jimin Pei, Bong-Hyun Kim, Ming Tang, Nick V. Grish...
In this paper, we introduce a novel Flip INvariant Descriptor (FIND). FIND improves the degenerated performance resulted from image flips and reduces both space and time costs. F...
Abstract. In multi-instance learning, each example is described by a bag of instances instead of a single feature vector. In this paper, we revisit the idea of performing multi-ins...