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MM
2004
ACM
248views Multimedia» more  MM 2004»
15 years 3 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He
ICC
2008
IEEE
15 years 4 months ago
GORA: Goodput Optimal Rate Adaptation for 802.11 Using Medium Status Estimation
Abstract—Rate Adaptation for 802.11 has been deeply investigated in the past, but the problem of achieving optimal Rate Adaptation with respect not only to channel-related errors...
Nicola Baldo, Federico Maguolo, Simone Merlin, And...
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 3 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba
BMCBI
2007
128views more  BMCBI 2007»
14 years 9 months ago
Model order selection for bio-molecular data clustering
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
Alberto Bertoni, Giorgio Valentini
GECCO
2006
Springer
220views Optimization» more  GECCO 2006»
15 years 1 months ago
A comparative study of immune system based genetic algorithms in dynamic environments
Diversity and memory are two major mechanisms used in biology to keep the adaptability of organisms in the everchanging environment in nature. These mechanisms can be integrated i...
Shengxiang Yang