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CVPR
2010
IEEE
14 years 3 months ago
Anatomical Parts-Based Regression Using Non-Negative Matrix Factorization
Non-negative matrix factorization (NMF) is an excellent tool for unsupervised parts-based learning, but proves to be ineffective when parts of a whole follow a specific pattern. ...
Swapna Joshi, Karthikeyan Shanmugavadivel, B.S. Ma...
BMCBI
2006
124views more  BMCBI 2006»
13 years 10 months ago
Predicting transcription factor binding sites using local over-representation and comparative genomics
Background: Identifying cis-regulatory elements is crucial to understanding gene expression, which highlights the importance of the computational detection of overrepresented tran...
Matthieu Defrance, Hélène Touzet
ICASSP
2009
IEEE
14 years 1 months ago
A tempering approach for Itakura-Saito non-negative matrix factorization. With application to music transcription
In this paper we are interested in non-negative matrix factorization (NMF) with the Itakura-Saito (IS) divergence. Previous work has demonstrated the relevance of this cost functi...
Nancy Bertin, Cédric Févotte, Roland...
NGC
2010
Springer
116views Communications» more  NGC 2010»
13 years 8 months ago
Speech Structure and Its Application to Robust Speech Processing
Speech communication consists of three steps: production, transmission, and hearing. Every step inevitably involves acoustic distortions due to gender differences, age, microphone...
Nobuaki Minematsu, Satoshi Asakawa, Masayuki Suzuk...
ESA
2010
Springer
140views Algorithms» more  ESA 2010»
13 years 10 months ago
A Robust PTAS for Machine Covering and Packing
Abstract. Minimizing the makespan or maximizing the minimum machine load are two of the most important and fundamental parallel machine scheduling problems. In an online scenario, ...
Martin Skutella, José Verschae