This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
We make a number of contributions to the study of the Quantified Constraint Satisfaction Problem (QCSP). The QCSP is an extension of the constraint satisfaction problem that can b...
Ian P. Gent, Peter Nightingale, Andrew G. D. Rowle...
Background: Biochemical networks play an essential role in systems biology. Rapidly growing network data and e research activities call for convenient visualization tools to aid i...
Sheng He, Juan Mei, Guiyang Shi, Zhengxiang Wang, ...
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...
Pengyi Yang, Bing Bing Zhou, Zili Zhang, Albert Y....
Background: Data integration is an escalating problem in bioinformatics. We have developed a web tool and warehousing system, Booly, that features a simple yet flexible data model...
Long H. Do, Francisco F. Esteves, Harvey J. Karten...