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ICASSP
2011
IEEE
14 years 10 months ago
Toward text message normalization: Modeling abbreviation generation
This paper describes a text normalization system for deletion-based abbreviations in informal text. We propose using statistical classifiers to learn the probability of deleting ...
Deana Pennell, Yang Liu
BMCBI
2006
102views more  BMCBI 2006»
15 years 6 months ago
Protein secondary structure prediction for a single-sequence using hidden semi-Markov models
Background: The accuracy of protein secondary structure prediction has been improving steadily towards the 88% estimated theoretical limit. There are two types of prediction algor...
Zafer Aydin, Yucel Altunbasak, Mark Borodovsky
ICMCS
2005
IEEE
87views Multimedia» more  ICMCS 2005»
16 years 2 days ago
A Probabilistic Description of Man-Machine Spoken Communication
Speech enabled interfaces and spoken dialog systems are mostly based on statistical speech and language processing modules. Their behavior is therefore not deterministic and hardl...
Olivier Pietquin
ICIP
2010
IEEE
15 years 4 months ago
Collaborative particle filters for group tracking
Tracking groups of people is a highly informative task in surveillance, and it represents a still open and little explored issue. In this paper, we propose a brand new framework f...
Loris Bazzani, Marco Cristani, Vittorio Murino

Book
778views
17 years 4 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...