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ICML
2003
IEEE
13 years 2 months ago
Hidden Markov Support Vector Machines
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...
Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofm...
ICASSP
2008
IEEE
12 years 8 months ago
Joint tracking and video registration by factorial Hidden Markov models
Tracking moving objects from image sequences obtained by a moving camera is a dif´Čücult problem since there exists apparent motion of the static background. It becomes more dif´Č...
Xue Mei, Fatih Murat Porikli
PRL
2007
131views more  PRL 2007»
12 years 1 months ago
A new look at discriminative training for hidden Markov models
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´...
Xiaodong He, Li Deng
COLING
2008
12 years 3 months ago
Homotopy-Based Semi-Supervised Hidden Markov Models for Sequence Labeling
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...
Gholamreza Haffari, Anoop Sarkar
ICMCS
2000
IEEE
138views Multimedia» more  ICMCS 2000»
12 years 6 months ago
Event-Coupled Hidden Markov Models
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...
Trausti T. Kristjansson, Brendan J. Frey, Thomas S...
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