Though shared virtual memory (SVM) systems promise low cost solutions for high performance computing, they suffer from long memory latencies. These latencies are usually caused by...
For offline handwritten Chinese character recognition, stroke variation is the most difficult problem to be solved. A new method of optimal sampling features is proposed to compens...
1 The sequence of nucleotides that makes up a DNA molecule encodes the characteristics of living things. Bioinformatics offers sophisticated methods to search for and compare nucl...
Feature modeling is commonly used to capture the commonalities and variabilities of systems in a domain during Domain Analysis. The output of feature modeling will be some reusabl...
Fei Cao, Barrett R. Bryant, Carol C. Burt, Zhishen...
Feature selection is an important problem for pattern classification systems. Mutual information is a good indicator of relevance between variables, and has been used as a measure...