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ICASSP
2008
IEEE
15 years 10 months ago
Unsupervised learning of auditory filter banks using non-negative matrix factorisation
Non-negative matrix factorisation (NMF) is an unsupervised learning technique that decomposes a non-negative data matrix into a product of two lower rank non-negative matrices. Th...
Alexander Bertrand, Kris Demuynck, Veronique Stout...
CAV
2010
Springer
214views Hardware» more  CAV 2010»
15 years 7 months ago
Learning Component Interfaces with May and Must Abstractions
elor Thesis: Demand Driven Abstraction Refinement • Advisor: Dr. Andrey Rybalchenko Kendriya Vidyalaya ONGC, Dehradun, Uttaranchal INDIA All India Senior Secondary Examination, ...
Rishabh Singh, Dimitra Giannakopoulou, Corina S. P...
DICTA
2003
15 years 5 months ago
Learning Semantic Concepts from Visual Data Using Neural Networks
For content-based image retrieval techniques, query image is used to pick up and rank some relevant images from a database using some certain similarity metric. If semantic feature...
Xiaohang Ma, Dianhui Wang
GCB
2010
Springer
204views Biometrics» more  GCB 2010»
15 years 1 months ago
Learning Pathway-based Decision Rules to Classify Microarray Cancer Samples
: Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninfor...
Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasn...
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WWW
2010
ACM
15 years 11 months ago
Exploring searcher interactions for distinguishing types of commercial intent
An improved understanding of the relationship between search intent, result quality, and searcher behavior is crucial for improving the effectiveness of web search. While recent p...
Qi Guo, Eugene Agichtein