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» Learning Models for Object Recognition
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CVPR
1997
IEEE
14 years 2 months ago
A bootstrapping algorithm for learning linear models of object classes
Thomas Vetter, Michael J. Jones, Tomaso Poggio
CVPR
2005
IEEE
15 years 9 days ago
Learning to Track: Conceptual Manifold Map for Closed-Form Tracking
Our objective is to model the visual manifold of object appearance corresponding to geometric transformation. We learn a generative model for object appearance where the appearanc...
Ahmed M. Elgammal
ICOST
2010
Springer
14 years 9 days ago
Object Recognition and Ontology for Manipulation with an Assistant Robot
This article presents a service robotic system for people loosing their autonomy developed at CEA LIST. In the past on SAM robot, we have developed a method for automatic manipulat...
Hélène Vorobieva, Mariette Soury, Pa...
ICIP
2010
IEEE
13 years 8 months ago
Combining free energy score spaces with information theoretic kernels: Application to scene classification
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
Manuele Bicego, Alessandro Perina, Vittorio Murino...
ICMCS
2007
IEEE
214views Multimedia» more  ICMCS 2007»
14 years 4 months ago
Exploring Discriminative Learning for Text-Independent Speaker Recognition
Speaker verification is a technology of verifying the claimed identity of a speaker based on the speech signal from the speaker (voice print). To learn the score of similarity be...
Ming Liu, Zhengyou Zhang, Mark Hasegawa-Johnson, T...