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» Quantization of Sparse Representations
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NIPS
2004
13 years 9 months ago
Message Errors in Belief Propagation
Belief propagation (BP) is an increasingly popular method of performing approximate inference on arbitrary graphical models. At times, even further approximations are required, wh...
Alexander T. Ihler, John W. Fisher III, Alan S. Wi...
IS
2008
13 years 7 months ago
A dimensionality reduction technique for efficient time series similarity analysis
We propose a dimensionality reduction technique for time series analysis that significantly improves the efficiency and accuracy of similarity searches. In contrast to piecewise c...
Qiang Wang, Vasileios Megalooikonomou
ICIP
2010
IEEE
13 years 5 months ago
Improving histology images segmentation through spatial constraints and supervision
We introduce two approaches to improve an existing color segmentation technique based on a Split and Merge quantization process for the study of stained histological images. We pr...
Nicolas Hervé, Aude Servais, Eric Thervet, ...
ICASSP
2011
IEEE
13 years 4 months ago
Searching in one billion vectors: re-rank with source coding
Recent indexing techniques inspired by source coding have been shown successful to index billions of high-dimensional vectors in memory. In this paper, we propose an approach that ...
Hervé Jégou and Romain Tavenard and Matthijs Dou...
CORR
2010
Springer
128views Education» more  CORR 2010»
13 years 8 months ago
Blind Compressed Sensing
The fundamental principle underlying compressed sensing is that a signal, which is sparse under some basis representation, can be recovered from a small number of linear measuremen...
Sivan Gleichman, Yonina C. Eldar