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» Learning Models for Object Recognition
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CVPR
1997
IEEE
15 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 12 months 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 12 months 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
14 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»
15 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...