Classification of data with imbalanced class distribution has posed a significant drawback of the performance attainable by most standard classifier learning algorithms, which ...
When applied to high-dimensional classification task such as face recognition, linear discriminant analysis (LDA) can extract two kinds of discriminant vectors, those in the null s...
Wangmeng Zuo, Kuanquan Wang, David Zhang, Jian Yan...
Soft errors are an increasingly serious problem for logic circuits. To estimate the effects of soft errors on such circuits, we develop a general computational framework based on ...
Smita Krishnaswamy, George F. Viamontes, Igor L. M...
We show how a series of transformations can be applied to a sequential program to obtain programs that represent successive steps in exploiting parallelism in the original algorit...
Lei Pan, Wenhui Zhang, Arthur Asuncion, Ming Kin L...
Cache misses form a major bottleneck for memory-intensive applications, due to the significant latency of main memory accesses. Loop tiling, in conjunction with other program tran...