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ICMCS
2005
IEEE
126views Multimedia» more  ICMCS 2005»
14 years 29 days ago
A HMM-Embedded Unsupervised Learning to Musical Event Detection
In this paper, an HMM-embedded unsupervised learning approach is proposed to detect the music events by grouping the similar segments of the music signal. This approach can cluste...
Sheng Gao, Yongwei Zhu
SSPR
2004
Springer
14 years 21 days ago
Learning from General Label Constraints
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
Tijl De Bie, Johan A. K. Suykens, Bart De Moor
CVPR
2008
IEEE
14 years 9 months ago
Large-scale manifold learning
This paper examines the problem of extracting lowdimensional manifold structure given millions of highdimensional face images. Specifically, we address the computational challenge...
Ameet Talwalkar, Sanjiv Kumar, Henry A. Rowley
WSC
2008
13 years 9 months ago
Better than a petaflop: The power of efficient experimental design
Recent advances in high-performance computing have pushed computational capabilities to a petaflop (a thousand trillion operations per second) in a single computing cluster. This ...
Susan M. Sanchez
NAR
2007
103views more  NAR 2007»
13 years 6 months ago
InSatDb: a microsatellite database of fully sequenced insect genomes
InSatDb presents an interactive interface to query information regarding microsatellite characteristics per se of five fully sequenced insect genomes (fruitfly, honeybee, malarial...
Sunil Archak, Eshwar Meduri, P. Sravana Kumar, Jav...