Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...
Comparison of the DNA sequences and genes of two genomes can be useful to investigate the common functionalities of the corresponding organisms and get a better understanding of h...
Nalvo F. Almeida Jr., Carlos E. R. Alves, Edson C&...
This paper presents a novel Second Order Cone Programming (SOCP) formulation for large scale binary classification tasks. Assuming that the class conditional densities are mixture...
J. Saketha Nath, Chiranjib Bhattacharyya, M. Naras...
— An elevated central-channel doping with a depth similar to the S/D junctions is proposed as the best measure for simultaneously improving MOSFET device and high speed circuit p...
Masayasu Tanaka, N. Tokida, T. Okagaki, Michiko Mi...
This paper presents a strategy for shape-based image retrieval in which moment invariants form a feature vector to describe the shape of an object. Fuzzy k-means clustering is use...