28 search results - page 4 / 6 » A Maximum Entropy Tagger with Unsupervised Hidden Markov Mod... |
EMNLP
2004
13 years 8 months ago
2004
We compare and contrast two different models for detecting sentence-like units in continuous speech. The first approach uses hidden Markov sequence models based on N-grams and max...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We present a new unsupervised algorithm for training structured predictors that is discriminative, convex, and avoids the use of EM. The idea is to formulate an unsupervised versi...
CVPR
2005
IEEE
14 years 1 months ago
2005
IEEE
Advances in computer processing power and emerging algorithms are allowing new ways of envisioning Human Computer Interaction. This paper focuses on the development of a computing...
ICML
2004
IEEE
14 years 27 days ago
2004
IEEE
We introduce a new perceptron-based discriminative learning algorithm for labeling structured data such as sequences, trees, and graphs. Since it is fully kernelized and uses poin...
CVIU
2006
13 years 7 months ago
2006
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...