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» To FRAME or not to FRAME in Probabilistic Texture Modelling
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WACV
2002
IEEE
14 years 1 months ago
Face Model Adaptation using Robust Matching and Active Appearance Models
This paper addresses the 3D tracking of pose and animation of the human face in monocular image sequences using deformable 3D models. For each frame, the proposed adaptation is sp...
Fadi Dornaika, Jörgen Ahlberg
INFOCOM
2010
IEEE
13 years 7 months ago
Efficient Tag Identification in Mobile RFID Systems
In this paper we consider how to efficiently identify tags on the moving conveyor. Considering conditions like the path loss and multi-path effect in realistic settings, we first p...
Lei Xie, Bo Sheng, Chiu Chiang Tan, Hao Han, Qun L...
GECCO
2011
Springer
236views Optimization» more  GECCO 2011»
13 years 15 days ago
Online, GA based mixture of experts: a probabilistic model of ucs
In recent years there have been efforts to develop a probabilistic framework to explain the workings of a Learning Classifier System. This direction of research has met with lim...
Narayanan Unny Edakunni, Gavin Brown, Tim Kovacs
SCVMA
2004
Springer
14 years 2 months ago
A Generative Model of Dense Optical Flow in Layers
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
Anitha Kannan, Brendan J. Frey, Nebojsa Jojic
CVPR
2008
IEEE
14 years 11 months ago
Extracting a fluid dynamic texture and the background from video
Given the video of a still background occluded by a fluid dynamic texture (FDT), this paper addresses the problem of separating the video sequence into its two constituent layers....
Bernard Ghanem, Narendra Ahuja