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NIPS
2004
13 years 11 months ago
Self-Tuning Spectral Clustering
We study a number of open issues in spectral clustering: (i) Selecting the appropriate scale of analysis, (ii) Handling multi-scale data, (iii) Clustering with irregular backgroun...
Lihi Zelnik-Manor, Pietro Perona
CCGRID
2003
IEEE
14 years 3 months ago
Magnetic Resonance Imaging (Mri) Simulation On A Grid Computing Architecture
In this paper, we present the implementation of a Magnetic Resonance Imaging (MRI) simulator on a GRID computing architecture. The simulation process is based on the resolution of...
Hugues Benoit-Cattin, F. Bellet, Johan Montagnat, ...
FSMNLP
2008
Springer
13 years 11 months ago
Learning with Weighted Transducers
Weighted finite-state transducers have been used successfully in a variety of natural language processing applications, including speech recognition, speech synthesis, and machine ...
Corinna Cortes, Mehryar Mohri
CISS
2007
IEEE
14 years 4 months ago
An EM Technique for Multiple Transmitter Localization
— We propose an expectation-maximization (EM) technique for locating multiple transmitters based on power levels observed by a set of arbitrarily-placed receivers. Multiple trans...
Jill K. Nelson, Maya R. Gupta
ICASSP
2010
IEEE
13 years 10 months ago
Multiplicative update rules for nonnegative matrix factorization with co-occurrence constraints
Nonnegative matrix factorization (NMF) is a widely-used tool for obtaining low-rank approximations of nonnegative data such as digital images, audio signals, textual data, financ...
Steven K. Tjoa, K. J. Ray Liu