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» Tracking in Reinforcement Learning
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ACL
2010
15 years 23 days ago
Importance-Driven Turn-Bidding for Spoken Dialogue Systems
Current turn-taking approaches for spoken dialogue systems rely on the speaker releasing the turn before the other can take it. This reliance results in restricted interactions th...
Ethan Selfridge, Peter A. Heeman
108
Voted
INLG
2010
Springer
15 years 19 days ago
Feature Selection for Fluency Ranking
16:30 Generating and Validating Abstracts of Meeting Conversations: a User Study. Gabriel Murray, Giuseppe Carenini and Raymond Ng 16:30 - 16:45 Break Session 3: Sentence Level Gen...
Daniël de Kok
126
Voted
SIGDIAL
2010
15 years 17 days ago
Sparse Approximate Dynamic Programming for Dialog Management
Spoken dialogue management strategy optimization by means of Reinforcement Learning (RL) is now part of the state of the art. Yet, there is still a clear mismatch between the comp...
Senthilkumar Chandramohan, Matthieu Geist, Olivier...
134
Voted
ECCV
2006
Springer
16 years 4 months ago
Multivariate Relevance Vector Machines for Tracking
This paper presents a learning based approach to tracking articulated human body motion from a single camera. In order to address the problem of pose ambiguity, a one-to-many mappi...
Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...
111
Voted
ICPR
2008
IEEE
16 years 3 months ago
Human tracking based on Soft Decision Feature and online real boosting
Online Boosting is an effective incremental learning method which can update weak classifiers efficiently according to the object being trackedt. It is a promising technique for o...
Hironobu Fujiyoshi, Masato Kawade, Shihong Lao, Ta...