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» Cosparse analysis modeling - uniqueness and algorithms
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BMCBI
2008
214views more  BMCBI 2008»
15 years 3 months ago
Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations
Background: During the most recent decade many Bayesian statistical models and software for answering questions related to the genetic structure underlying population samples have...
Jukka Corander, Pekka Marttinen, Jukka Siré...
SAB
2010
Springer
120views Optimization» more  SAB 2010»
15 years 2 months ago
A Supramodal Vibrissa Tactile and Auditory Model for Texture Recognition
Abstract. Audition and touch endow spectral processing abilities allowing texture recognition and discrimination. Rat whiskers sensorisystem exhibits, as the cochlea, resonance pro...
Mathieu Bernard, Steve N'Guyen, Patrick Pirim, Agn...
ISDA
2010
IEEE
15 years 1 months ago
Self-adaptive Gaussian mixture models for real-time video segmentation and background subtraction
The usage of Gaussian mixture models for video segmentation has been widely adopted. However, the main difficulty arises in choosing the best model complexity. High complex models ...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
ICCV
1999
IEEE
16 years 6 months ago
A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and synthesizing figure motion has employed eit...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Ke...
ICIP
2007
IEEE
16 years 6 months ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas