5234 search results - page 52 / 1047 » Method Components - Rationale Revealed |
IDEAL
2005
Springer
15 years 3 months ago
2005
Springer
Due to the large number of genes measured in a typical microarray dataset, feature selection plays an essential role in tumor classification. In turn, relevance and redundancy are ...
117
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ICDAR
2009
IEEE
14 years 7 months ago
2009
IEEE
Text line segmentation in unconstrained handwritten documents remains a challenge because handwritten text lines are multi-skewed and not obviously separated. This paper presents ...
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
Abstract. Object detection is one of the key problems in computer vision. In the last decade, discriminative learning approaches have proven effective in detecting rigid objects, a...
BMCBI
2010
14 years 10 months ago
2010
Background: In cancer, gene networks and pathways often exhibit dynamic behavior, particularly during the process of carcinogenesis. Thus, it is important to prioritize those gene...
132
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PAMI
2012
13 years 7 days ago
2012
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...