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BMCBI
2006
129views more  BMCBI 2006»
13 years 9 months ago
Identifying genes that contribute most to good classification in microarrays
Background: The goal of most microarray studies is either the identification of genes that are most differentially expressed or the creation of a good classification rule. The dis...
Stuart G. Baker, Barnett S. Kramer
BIODATAMINING
2008
96views more  BIODATAMINING 2008»
13 years 9 months ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo
SDM
2011
SIAM
232views Data Mining» more  SDM 2011»
12 years 12 months ago
A Sequential Dual Method for Structural SVMs
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
Shirish Krishnaj Shevade, Balamurugan P., S. Sunda...
ICIP
2005
IEEE
14 years 10 months ago
Segmenting non stationary images with triplet Markov fields
The hidden Markov field (HMF) model has been used in many model-based solutions to image analysis problems, including that of image segmentation, and generally gives satisfying re...
Dalila Benboudjema, Wojciech Pieczynski
ICASSP
2008
IEEE
14 years 3 months ago
Performance characteristics of collaborative beamforming for wireless sensor networks with Gaussian distributed sensor nodes
Collaborative beamforming has been recently introduced in the context of wireless sensor networks (WSNs) to increase the transmission range of individual sensor nodes. In this pap...
Mohammed F. A. Ahmed, Sergiy A. Vorobyov