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ICIAR
2009
Springer
14 years 13 days ago
Abnormal Behavior Recognition Using Self-Adaptive Hidden Markov Models
A self-adaptive Hidden Markov Model (SA-HMM) based framework is proposed for behavior recognition in this paper. In this model, if an unknown sequence cannot be classified into an...
Jun Yin, Yan Meng
ICIP
2000
IEEE
14 years 9 months ago
Mean Shift and Optimal Prediction for Efficient Object Tracking
A new paradigm for the efficient color-based tracking of objects seen from a moving camera is presented. The proposed technique employs the mean shift analysis to derive the targe...
Dorin Comaniciu, Visvanathan Ramesh
CORR
2000
Springer
144views Education» more  CORR 2000»
13 years 7 months ago
Sequence-Based Abstract Interpretation of Prolog
-BASED ABSTRACT INTERPRETATION OF PROLOG1 BAUDOUIN LE CHARLIER, SABINA ROSSI, AND PASCAL VAN HENTENRYCK . Abstract interpretation is a general methodology for systematic developmen...
Baudouin Le Charlier, Sabina Rossi, Pascal Van Hen...
BMCBI
2006
91views more  BMCBI 2006»
13 years 7 months ago
Cheminformatics methods for novel nanopore analysis of HIV DNA termini
Background: Channel current feature extraction methods, using Hidden Markov Models (HMMs) have been designed for tracking individual-molecule conformational changes. This informat...
Stephen Winters-Hilt, Matthew Landry, Mark Akeson,...
ICCV
2011
IEEE
12 years 7 months ago
Robust Object Pose Estimation via Statistical Manifold Modeling
We propose a novel statistical manifold modeling approach that is capable of classifying poses of object categories from video sequences by simultaneously minimizing the intra-cla...
Liang Mei, Jingen Liu, Alfred Hero, Silvio Savares...