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» Image Distance Using Hidden Markov Models
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CSL
2010
Springer
13 years 9 months ago
Speech segmentation using regression fusion of boundary predictions
In the present work we study the appropriateness of a number of linear and non-linear regression methods, employed on the task of speech segmentation, for combining multiple phone...
Iosif Mporas, Todor Ganchev, Nikos Fakotakis
ICRA
2006
IEEE
128views Robotics» more  ICRA 2006»
14 years 3 months ago
Probabilistic Location Recognition using Reduced Feature Set
Abstract— The localization capability is central to basic navigation tasks and motivates development of various visual navigation systems. In this paper we describe a two stage a...
Fayin Li, Jana Kosecka
ANLP
1994
108views more  ANLP 1994»
13 years 10 months ago
Does Baum-Welch Re-estimation Help Taggers?
In part of speech tagging by Hidden Markov Model, a statistical model is used to assign grammatical categories to words in a text. Early work in the field relied on a corpus which...
David Elworthy
NIPS
2004
13 years 10 months ago
Hierarchical Clustering of a Mixture Model
In this paper we propose an efficient algorithm for reducing a large mixture of Gaussians into a smaller mixture while still preserving the component structure of the original mod...
Jacob Goldberger, Sam T. Roweis
CVPR
2011
IEEE
13 years 5 months ago
Clues from the Beaten Path: Location Estimation with Bursty Sequences of Tourist Photos
Image-based location estimation methods typically recognize every photo independently, and their resulting reliance on strong visual feature matches makes them most suited for dis...
Chao-Yeh Chen, Kristen Grauman