— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
Abstract— World data is increasing rapidly, doubling almost every three years[1][2]. To comprehend and use this data effectively, search and recognition (SR) applications will de...
Abstract. In various fields of computer science, rapidly growing hardware power, such as high-speed network, high-performance CPU, huge disk capacity, and large memory space, has ...
Katsuro Inoue, Pankaj K. Garg, Hajimu Iida, Ken-ic...
Abstract— This paper explores the problem of efficiently ordering interprocessor communication operations in both statically and dynamically-scheduled multiprocessors for iterat...
Programming paradigms are often skewed towards a particular domain of problems, thus one effective way to utilize them is through a multiparadigm approach to software development....