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» Selectivity Estimation using Probabilistic Models
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CVPR
2010
IEEE
16 years 1 months ago
A Generative Perspective on MRFs in Low-Level Vision
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
Uwe Schmidt, Qi Gao, Stefan Roth
ICPR
2004
IEEE
16 years 6 months ago
A Deformable Model Driven Method for Handling Clothes
A model-driven method for handling clothes by two manipulators based on observation with stereo cameras is proposed. The task considered in this paper is to hold up a specific par...
Yasuyo Kita, Fuminori Saito, Nobuyuki Kita
CSDA
2007
106views more  CSDA 2007»
15 years 4 months ago
Parsimonious additive models
A new method for function estimation and variable selection, specifically designed for additive models fitted by cubic splines is proposed.This new method involves regularizing ...
Marta Avalos, Yves Grandvalet, Christophe Ambroise
AINA
2007
IEEE
15 years 9 months ago
Domain Modelling for Ubiquitous Computing Applications
Many Ubiquitous computing applications can be considered as planning and acting problems in environments characterised by uncertainty and partial observability. Such systems rely ...
Anthony Harrington, Vinny Cahill
CVPR
2003
IEEE
16 years 7 months ago
Learning Dynamics for Exemplar-based Gesture Recognition
This paper addresses the problem of capturing the dynamics for exemplar-based recognition systems. Traditional HMM provides a probabilistic tool to capture system dynamics and in ...
Ahmed M. Elgammal, Vinay D. Shet, Yaser Yacoob, La...