In this paper we investigate the usage of random ortho-projections in the compression of sparse feature vectors. The study is carried out by evaluating the compressed features in ...
The increase in the advanced location based services such as traffic coordination and management necessitates the need for advanced models tracking the positions of Moving Objects ...
Shayma Alkobaisi, Wan D. Bae, Seon Ho Kim, Byunggu...
In our previous work, we have developed sparse least squares support vector regressors (sparse LS SVRs) trained in the primal form in the reduced empirical feature space. In this p...
In silico bioinformatics experiments involve integration of and access to computational tools and biological databases. The emerging grid computing technologies enable bioinformat...
Parsing context-dependent computer languages requires an ability to maintain and query data structures while parsing for the purpose of influencing the parse. Parsing ambiguous co...