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» Learning Models for Object Recognition
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CVPR
2011
IEEE
14 years 11 months ago
Object Cosegmentation
Cosegmentation is typically defined as the task of jointly segmenting “something similar” in a given set of images. Existing methods are too generic and so far have not demon...
Sara Vicente, Carsten Rother, Vladimir Kolmogorov
ICASSP
2011
IEEE
14 years 7 months ago
Maximum margin structure learning of Bayesian network classifiers
Recently, the margin criterion has been successfully used for parameter optimization in graphical models. We introduce maximum margin based structure learning for Bayesian network...
Franz Pernkop, Michael Wohlmay, Manfred Mücke
ICCV
2007
IEEE
15 years 9 months ago
Action Recognition from Arbitrary Views using 3D Exemplars
In this paper, we address the problem of learning compact, view-independent, realistic 3D models of human actions recorded with multiple cameras, for the purpose of recognizing th...
Daniel Weinland, Edmond Boyer, Rémi Ronfard
IBPRIA
2005
Springer
15 years 8 months ago
Real-Time Tracking Using Multiple Target Models
Using Comaniciu et al.’s approach as a basis, [9], this paper presents a real-time tracking technique in which a multiple target model is used. The use of a multiple model shall ...
Manuel J. Lucena, José M. Fuertes, Nicolas ...
IBPRIA
2003
Springer
15 years 8 months ago
Tracking Heads Using Piecewise Planar Models
We present a procedure for tracking a rigid object based on a piecewise planar model, and show how it can be used to track a human face. The tracking is performed using a single in...
José Miguel Buenaposada, Enrique Muñ...