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ICIP
2001
IEEE
16 years 6 months ago
Minimum discrimination information clustering: modeling and quantization with Gauss mixtures
Gauss mixtures have gained popularity in statistics and statistical signal processing applications for a variety of reasons, including their ability to well approximatea large cla...
Robert M. Gray, John C. Young, Anuradha K. Aiyer
ACCV
2009
Springer
15 years 11 months ago
Levels of Details for Gaussian Mixture Models
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
Vincent Garcia, Frank Nielsen, Richard Nock
ACL
1997
15 years 6 months ago
Intonational Boundaries, Speech Repairs and Discourse Markers: Modeling Spoken Dialog
To understand a speaker’s turn of a conversation, one needs to segment it into intonational phrases, clean up any speech repairs that might have occurred, and identify discourse...
Peter A. Heeman, James F. Allen
ICRA
2010
IEEE
148views Robotics» more  ICRA 2010»
15 years 2 months ago
An integrated probabilistic model for scan-matching, moving object detection and motion estimation
Abstract-- This paper presents a novel framework for integrating fundamental tasks in robotic navigation through a statistical inference procedure. A probabilistic model that joint...
Joop van de Ven, Fabio Ramos, Gian Diego Tipaldi
123
Voted
EMNLP
2009
15 years 2 months ago
A Syntactified Direct Translation Model with Linear-time Decoding
Recent syntactic extensions of statistical translation models work with a synchronous context-free or tree-substitution grammar extracted from an automatically parsed parallel cor...
Hany Hassan, Khalil Sima'an, Andy Way