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ICA
2007
Springer
16 years 18 days ago
Discovering Convolutive Speech Phones Using Sparseness and Non-negativity
Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can b...
Paul D. O'Grady, Barak A. Pearlmutter
FLAIRS
2006
15 years 7 months ago
Full Restart Speeds Learning
Because many real-world problems can be represented and solved as constraint satisfaction problems, the development of effective, efficient constraint solvers is important. A solv...
Smiljana Petrovic, Susan L. Epstein
CORR
2010
Springer
99views Education» more  CORR 2010»
15 years 6 months ago
A Markov Chain Model for the Analysis of Round-Robin Scheduling Scheme
---------------------------------------------------ABSTRACT-----------------------------------------------In the literature of Round-Robin scheduling scheme, each job is processed,...
D. Shukla, Saurabh Jain, Rahul Singhai, R. K. Agar...
IJCV
2008
172views more  IJCV 2008»
15 years 6 months ago
Nonparametric Bayesian Image Segmentation
Image segmentation algorithms partition the set of pixels of an image into a specific number of different, spatially homogeneous groups. We propose a nonparametric Bayesian model f...
Peter Orbanz, Joachim M. Buhmann
ICASSP
2011
IEEE
14 years 10 months ago
A fully automated 2-DE gel image analysis pipeline for high throughput proteomics
Image analysis is still considered as the bottleneck in 2D-gel based expression proteomics analysis for biomarkers discovery. We are presenting a new end-to-end image analysis pip...
Panagiotis Tsakanikas, Elias S. Manolakos