81 search results - page 2 / 17 » Conditional State Space Models for Discriminative Motion Est... |
111
Voted
ACL
2004
14 years 11 months ago
2004
This paper describes discriminative language modeling for a large vocabulary speech recognition task. We contrast two parameter estimation methods: the perceptron algorithm, and a...
82
Voted
CORR
2008
Springer
14 years 10 months ago
2008
Springer
We consider a network of sensors deployed to sense a spatio-temporal field and infer parameters of interest about the field. We are interested in the case where each sensor's...
CSL
2007
Springer
14 years 10 months ago
2007
Springer
Hidden Markov Models (HMMs) are the most commonly used acoustic model for speech recognition. In HMMs, the probability of successive observations is assumed independent given the ...
ICML
2001
IEEE
15 years 11 months ago
2001
IEEE
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
75
Voted
CVPR
2007
IEEE
16 years 7 days ago
2007
IEEE
We describe a method of representing human activities that allows a collection of motions to be queried without examples, using a simple and effective query language. Our approach...