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CVPR
2007
IEEE
16 years 8 months ago
On-line Simultaneous Learning and Tracking of Visual Feature Graphs
Model learning and tracking are two important topics in computer vision. While there are many applications where one of them is used to support the other, there are currently only...
Arnaud Declercq, Justus H. Piater
IDA
2009
Springer
16 years 1 months ago
Bayesian Robust PCA for Incomplete Data
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...
Jaakko Luttinen, Alexander Ilin, Juha Karhunen
WACV
2008
IEEE
16 years 1 months ago
Background Subtraction for Temporally Irregular Dynamic Textures
In the traditional mixture of Gaussians background model, the generating process of each pixel is modeled as a mixture of Gaussians over color. Unfortunately, this model performs ...
Gerald Dalley, Joshua Migdal, W. Eric L. Grimson
FLAIRS
2008
15 years 9 months ago
Learning Dynamic Naive Bayesian Classifiers
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
Miriam Martínez, Luis Enrique Sucar
NLUCS
2008
15 years 8 months ago
The Role of Attention in Understanding Spatial Expressions under the Distractor Condition
Abstract. To develop a computational model of understanding spatial expressions, various factors should be taken into account. We have been exploring the relations between the good...
Tatsumi Kobayashi, Asuka Terai, Takenobu Tokunaga