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ICASSP
2008
IEEE
16 years 29 days ago
Nested support vector machines
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
Gyemin Lee, Clayton Scott
ICPR
2008
IEEE
16 years 29 days ago
Incremental clustering via nonnegative matrix factorization
Nonnegative matrix factorization (NMF) has been shown to be an efficient clustering tool. However, NMF`s batch nature necessitates recomputation of whole basis set for new samples...
Serhat Selcuk Bucak, Bilge Günsel
IPPS
2008
IEEE
16 years 28 days ago
Massive supercomputing coping with heterogeneity of modern accelerators
Heterogeneous supercomputers with combined general purpose and accelerated CPUs promise to be the future major architecture due to their wideranging generality and superior perfor...
Toshio Endo, Satoshi Matsuoka
IPPS
2008
IEEE
16 years 28 days ago
Absolute Slicing in Peer-to-peer Systems
Peer-to-peer (P2P) systems are slowly moving from application-specific architectures to a generic serviceoriented design framework. The idea is to allow a dynamic collection of P...
Alberto Montresor, Roberto Zandonati
MMM
2007
Springer
114views Multimedia» more  MMM 2007»
16 years 24 days ago
Mining Multiple Visual Appearances of Semantics for Image Annotation
This paper investigates the problem of learning the visual semantics of keyword categories for automatic image annotation. Supervised learning algorithms which learn only a single ...
Hung-Khoon Tan, Chong-Wah Ngo