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ICIAP
2007
ACM
16 years 6 months ago
Sparseness Achievement in Hidden Markov Models
In this paper, a novel learning algorithm for Hidden Markov Models (HMMs) has been devised. The key issue is the achievement of a sparse model, i.e., a model in which all irreleva...
Manuele Bicego, Marco Cristani, Vittorio Murino
PCM
2007
Springer
114views Multimedia» more  PCM 2007»
16 years 17 days ago
Random Convolution Ensembles
A novel method for creating diverse ensembles of image classifiers is proposed. The idea is that, for each base image classifier in the ensemble, a random image transformation is g...
Michael Mayo
ACII
2005
Springer
16 years 6 hour ago
Using an Avatar to Develop a System for the Predication of Human Body Pose from Moments
Tracking people using movie sequences is not straightforward because of the human body's articulation and the complexity of a person's movements. In this paper we show ho...
Song Hu, Bernard F. Buxton
ECML
2004
Springer
15 years 12 months ago
Learning from Message Pairs for Automatic Email Answering
Abstract. We consider the problem of learning a mapping from question to answer messages. The training data for this problem consist of pairs of messages that have been received an...
Steffen Bickel, Tobias Scheffer
ACL
2008
15 years 8 months ago
Adapting a WSJ-Trained Parser to Grammatically Noisy Text
We present a robust parser which is trained on a treebank of ungrammatical sentences. The treebank is created automatically by modifying Penn treebank sentences so that they conta...
Jennifer Foster, Joachim Wagner, Josef van Genabit...