Abstract There has been considerable interest in the identification of structural properties of combinatorial problems that lead to efficient algorithms for solving them. Some of...
Bistra N. Dilkina, Carla P. Gomes, Ashish Sabharwa...
The explosive growth of the vision data motivates the recent studies on efficient data indexing methods such as locality-sensitive hashing (LSH). Most existing approaches perform...
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
Background: In the adaptive immune system, variable regions of immunoglobulin (IG) are encoded by random recombination of variable (V), diversity (D), and joining (J) gene segment...
Xiaojing Wang, Di Wu, SiYuan Zheng, Jing Sun, Lin ...
Background: Interpreting the results of high-throughput experiments, such as those obtained from DNA-microarrays, is an often time-consuming task due to the high number of data-po...
Felix Kokocinski, Nicolas Delhomme, Gunnar Wrobel,...