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JMLR
2008
169views more  JMLR 2008»
15 years 4 months ago
Multi-class Discriminant Kernel Learning via Convex Programming
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...
Jieping Ye, Shuiwang Ji, Jianhui Chen
JPDC
2006
148views more  JPDC 2006»
15 years 4 months ago
Efficient algorithm for placing a given number of base stations to cover a convex region
In the context of mobile communication, an efficient algorithm for the base-station placement problem is developed in this paper. The objective is to place a given number of base-...
Gautam K. Das, Sandip Das, Subhas C. Nandy, Bhaban...
PKDD
2009
Springer
162views Data Mining» more  PKDD 2009»
15 years 11 months ago
A Convex Method for Locating Regions of Interest with Multi-instance Learning
Abstract. In content-based image retrieval (CBIR) and image screening, it is often desirable to locate the regions of interest (ROI) in the images automatically. This can be accomp...
Yu-Feng Li, James T. Kwok, Ivor W. Tsang, Zhi-Hua ...
NIPS
2003
15 years 5 months ago
Convex Methods for Transduction
The 2-class transduction problem, as formulated by Vapnik [1], involves finding a separating hyperplane for a labelled data set that is also maximally distant from a given set of...
Tijl De Bie, Nello Cristianini
ASAP
2008
IEEE
105views Hardware» more  ASAP 2008»
15 years 6 months ago
Fast custom instruction identification by convex subgraph enumeration
Automatic generation of custom instruction processors from high-level application descriptions enables fast design space exploration, while offering very favorable performance and...
Kubilay Atasu, Oskar Mencer, Wayne Luk, Can C. &Ou...