76 search results - page 2 / 16 » Active learning for Hidden Markov Models: objective function... |
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
ICASSP
2008
IEEE
13 years 10 months ago
2008
IEEE
Tracking moving objects from image sequences obtained by a moving camera is a difficult problem since there exists apparent motion of the static background. It becomes more dif...
PRL
2007
13 years 3 months ago
2007
ct 7 Discriminative training for hidden Markov models (HMMs) has been a central theme in speech recognition research for many years. 8 One most popular technique is minimum classi...
COLING
2008
13 years 5 months ago
2008
This paper explores the use of the homotopy method for training a semi-supervised Hidden Markov Model (HMM) used for sequence labeling. We provide a novel polynomial-time algorith...
ICMCS
2000
IEEE
13 years 8 months ago
2000
IEEE
Inferences from time-series data can be greatly enhanced by taking into account multiple modalities. In some cases, such as audio of speech and the corresponding video of lip gest...