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» Stochastic Motif Extraction Using Hidden Markov Model
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DMIN
2007
168views Data Mining» more  DMIN 2007»
15 years 1 months ago
On Clustering Users' Behaviors in Video Sessions
We study the extraction of characteristics of user behavior in video session encoded as stochastic matrices of finite Markov chain. These behaviors are clustered using a dissimil...
Sylvain Mongy, Chabane Djeraba, Dan A. Simovici
ICNC
2005
Springer
15 years 5 months ago
Texture Segmentation Using Neural Networks and Multi-scale Wavelet Features
This paper presents a novel texture segmentation method using Bayesian estimation and neural networks. Multi-scale wavelet coefficients and the context information extracted from n...
Tae-Hyung Kim, Il Kyu Eom, Yoo Shin Kim
IJCAI
1997
15 years 1 months ago
Learning Topological Maps with Weak Local Odometric Information
cal maps provide a useful abstraction for robotic navigation and planning. Although stochastic mapscan theoreticallybe learned using the Baum-Welch algorithm,without strong prior ...
Hagit Shatkay, Leslie Pack Kaelbling
100
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ICIP
2001
IEEE
16 years 1 months ago
Automatic multi-modal dialogue scene indexing
An automatic algorithm for indexing dialogue scenes in multimedia content is proposed. The content is segmented into dialogue scenes using the state transitions of a hidden Markov...
A. Aydin Alatan
ICASSP
2010
IEEE
14 years 6 months ago
Unsupervised knowledge acquisition for Extracting Named Entities from speech
This paper presents a Named Entity Recognition (NER) method dedicated to process speech transcriptions. The main principle behind this method is to collect in an unsupervised way ...
Frédéric Béchet, Eric Charton