A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
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...
Abstract- The large majority of existing clustering algorithms are centered around the notion of a feature, that is, individual data items are represented by their intrinsic proper...
ing Business UML Diagrams from Web Applications G. Di Lucca, University of Sannio, Italy; A. Fasolino, P. Tramontana, U. De Carlini, University of Naples, Italy (25 min) Developmen...
Paolo Tonella, Filippo Ricca, Emanuele Pianta, Chr...
Garbage collection can be a performance bottleneck in large distributed, multi-threaded applications. Applications may produce millions of objects during their lifetimes and may i...