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» Learning Generic Prior Models for Visual Computation
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CVPR
2008
IEEE
14 years 11 months ago
Loose shape model for discriminative learning of object categories
We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
Margarita Osadchy, Elran Morash
ACL
2010
14 years 7 months ago
Fine-Grained Genre Classification Using Structural Learning Algorithms
Prior use of machine learning in genre classification used a list of labels as classification categories. However, genre classes are often organised into hierarchies, e.g., coveri...
Zhili Wu, Katja Markert, Serge Sharoff
ICRA
2006
IEEE
149views Robotics» more  ICRA 2006»
15 years 3 months ago
On Learning the Statistical Representation of a Task and Generalizing it to Various Contexts
— This paper presents an architecture for solving generically the problem of extracting the constraints of a given task in a programming by demonstration framework and the problem...
Sylvain Calinon, Florent Guenter, Aude Billard
IROS
2007
IEEE
147views Robotics» more  IROS 2007»
15 years 4 months ago
Autonomous learning of 3D reaching in a humanoid robot
— In this paper, we describe the implementation of a precise reaching controller on an upper-torso humanoid robot. The solution we propose does not rely on prior models of the ki...
Francesco Nori, Lorenzo Natale, Giulio Sandini, Gi...
MABS
2005
Springer
15 years 3 months ago
Visual Modeling for Complex Agent-Based Simulation Systems
Currently there is a diversity of tools for agent-based simulation, which can be applied to the understanding of social phenomena. Describing this kind of phenomena with a visual l...
Candelaria Sansores, Juan Pavón, Jorge J. G...