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INTERSPEECH
2010
14 years 4 months ago
Unsupervised discovery and training of maximally dissimilar cluster models
One of the difficult problems of acoustic modeling for Automatic Speech Recognition (ASR) is how to adequately model the wide variety of acoustic conditions which may be present i...
Françoise Beaufays, Vincent Vanhoucke, Bria...
95
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ERCIMDL
2000
Springer
147views Education» more  ERCIMDL 2000»
15 years 1 months ago
Map Segmentation by Colour Cube Genetic K-Mean Clustering
Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum num...
Vitorino Ramos, Fernando Muge
ICDAR
2011
IEEE
13 years 9 months ago
Fast Key-Word Searching via Embedding and Active-DTW
—In this paper we present a novel approach for fast search of handwritten Arabic word-parts within large lexicons. The algorithm runs through three steps to achieve the required ...
Raid Saabni, Alex Bronstein
CVPR
2004
IEEE
15 years 11 months ago
Fast Contour Matching Using Approximate Earth Mover's Distance
Weighted graph matching is a good way to align a pair of shapes represented by a set of descriptive local features; the set of correspondences produced by the minimum cost matchin...
Kristen Grauman, Trevor Darrell
SIAMCOMP
2002
142views more  SIAMCOMP 2002»
14 years 9 months ago
On Binary Searching with Nonuniform Costs
Let us consider an ordered vector A[1 : n]. If the cost of testing each position is similar, then the standard binary search is the best strategy to search the vector. This is true...
Eduardo Sany Laber, Ruy Luiz Milidiú, Artur...