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MM
2010
ACM
238views Multimedia» more  MM 2010»
15 years 2 months ago
Supervised manifold learning for image and video classification
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
Yang Liu, Yan Liu, Keith C. C. Chan
BIOINFORMATICS
2007
195views more  BIOINFORMATICS 2007»
15 years 2 months ago
Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
Motivation: High-throughput expression profiling allows researchers to study gene activities globally. Genes with similar expression profiles are likely to encode proteins that ma...
Shinsheng Yuan, Ker-Chau Li
BMCBI
2007
176views more  BMCBI 2007»
15 years 2 months ago
Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue
Background: Micro- and macroarray technologies help acquire thousands of gene expression patterns covering important biological processes during plant ontogeny. Particularly, fait...
Marc Strickert, Nese Sreenivasulu, Björn Usad...
CBRMD
2008
167views more  CBRMD 2008»
15 years 2 months ago
Case-based Reasoning for Diagnosis of Stress using Enhanced Cosine and Fuzzy Similarity
Intelligent analysis of heterogeneous data and information sources for efficient decision support presents an interesting yet challenging task in clinical environments. This is par...
Mobyen Uddin Ahmed, Shahina Begum, Peter Funk, Nin...
BMCBI
2011
14 years 6 months ago
Wavelet-based identification of DNA focal genomic aberrations from single nucleotide polymorphism arrays
Background: Copy number aberrations (CNAs) are an important molecular signature in cancer initiation, development, and progression. However, these aberrations span a wide range of...
Youngmi Hur, Hyunju Lee
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