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...
As digital video data becomes more pervasive, mining information from multimedia data becomes increasingly important. Although researches in multimedia mining area have shown grea...
Wenlong Li, Eric Li, Nan Di, Carole Dulong, Tao Wa...
While microprocessor designers turn to multicore architectures to sustain performance expectations, the dramatic increase in parallelism of such architectures will put substantial...
Susmit Biswas, Diana Franklin, Alan Savage, Ryan D...
Background: When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis canno...
Background: Supertree methods comprise one approach to reconstructing large molecular phylogenies given multi-marker datasets: trees are estimated on each marker and then combined...