179 search results - page 1 / 36 » Discriminative feature selection for hidden Markov models us... |
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...
ICMCS
2009
IEEE
13 years 2 months ago
2009
IEEE
In this work semantic features are used to improve the results of the camera selection. These semantic features are group action, person action and person speaking. For this purpo...
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...
IJCNN
2000
IEEE
13 years 8 months ago
2000
IEEE
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
NIPS
2003
13 years 6 months ago
2003
We examine the use of hidden Markov and hidden semi-Markov models for automatically segmenting an electrocardiogram waveform into its constituent waveform features. An undecimated...