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TCSV
2008
177views more  TCSV 2008»
13 years 7 months ago
An ICA Mixture Hidden Markov Model for Video Content Analysis
In this paper, a new theoretical framework based on hidden Markov model (HMM) and independent component analysis (ICA) mixture model is presented for content analysis of video, nam...
Jian Zhou, Xiao-Ping Zhang
IJAR
2010
130views more  IJAR 2010»
13 years 5 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
AVSS
2006
IEEE
14 years 1 months ago
Analysis of LIDAR Data Fused with Co-Registered Bands
In the past decade, LIght Detection And Ranging (LIDAR) has been recognised by both the commercial and public sector as a reliable and accurate source for land surveying. Object c...
Marc Bartels, Hong Wei, James M. Ferryman
MMSEC
2006
ACM
102views Multimedia» more  MMSEC 2006»
14 years 1 months ago
Zero-knowledge watermark detector robust to sensitivity attacks
Current zero-knowledge watermark detectors are based on a linear correlation between the asset features and a given secret sequence. This detection function is susceptible of bein...
Juan Ramón Troncoso-Pastoriza, Fernando P&e...
MVA
2007
179views Computer Vision» more  MVA 2007»
13 years 7 months ago
Multi-object trajectory tracking
The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...
Mei Han, Wei Xu, Hai Tao, Yihong Gong