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» A Genetic Algorithm for Clustering on Very Large Data Sets
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ICCV
2007
IEEE
14 years 8 months ago
Gradient Feature Selection for Online Boosting
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...
Ting Yu, Xiaoming Liu 0002
EUROPAR
2003
Springer
13 years 11 months ago
FOBS: A Lightweight Communication Protocol for Grid Computing
The advent of high-performance networks in conjunction with low-cost, powerful computational engines has made possible the development of a new set of technologies termed computat...
Phillip M. Dickens
BMCBI
2004
208views more  BMCBI 2004»
13 years 6 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
IWQOS
2005
Springer
13 years 12 months ago
Processor Sharing Flows in the Internet
Most congestion control algorithms try to emulate processor sharing (PS) by giving each competing flow an equal share of a bottleneck link. This approach leads to fairness, and pr...
Nandita Dukkipati, Masayoshi Kobayashi, Rui Zhang-...
VLDB
2004
ACM
120views Database» more  VLDB 2004»
13 years 11 months ago
Relational link-based ranking
Link analysis methods show that the interconnections between web pages have lots of valuable information. The link analysis methods are, however, inherently oriented towards analy...
Floris Geerts, Heikki Mannila, Evimaria Terzi