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CVPR
2007
IEEE
14 years 3 days ago
Hierarchical Structuring of Data on Manifolds
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
Jun Li, Pengwei Hao
BMCBI
2006
119views more  BMCBI 2006»
13 years 5 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
ISMIR
2005
Springer
175views Music» more  ISMIR 2005»
13 years 11 months ago
A Classification Approach to Melody Transcription
Melodies provide an important conceptual summarization of polyphonic audio. The extraction of melodic content has practical applications ranging from content-based audio retrieval...
Graham E. Poliner, Daniel P. W. Ellis
APGV
2006
ACM
138views Visualization» more  APGV 2006»
13 years 7 months ago
Verification of rendering quality from measured BTFs
One of the most important, still unsolved problems in computer graphics is the generation of predictive imagery, i.e., images that represent perfect renditions of reality. Such pe...
Jan Meseth, Gero Müller, Reinhard Klein, Flor...
BMCBI
2010
147views more  BMCBI 2010»
13 years 5 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...