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» Perceptual Learning and Abstraction in Machine Learning
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ICML
2005
IEEE
14 years 8 months ago
Interactive learning of mappings from visual percepts to actions
We introduce flexible algorithms that can automatically learn mappings from images to actions by interacting with their environment. They work by introducing an image classifier i...
Justus H. Piater, Sébastien Jodogne
ICML
2006
IEEE
14 years 8 months ago
Maximum margin planning
Mobile robots often rely upon systems that render sensor data and perceptual features into costs that can be used in a planner. The behavior that a designer wishes the planner to ...
Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinke...
SBIA
2000
Springer
13 years 11 months ago
An Environment for Rule Extraction and Evaluation from Databases
Abstract Classi
José Augusto Baranauskas, Maria Carolina Mo...
ICIP
2002
IEEE
14 years 9 months ago
Content-based image retrieval for digital mammography
In this work, we explore the use of a learning-based framework for retrieval of relevant mammogram images from a database, for purposes of aiding diagnoses. A fundamental issue is...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...
COGSCI
2010
103views more  COGSCI 2010»
13 years 7 months ago
From Perceptual Categories to Concepts: What Develops?
People are remarkably smart: They use language, possess complex motor skills, make nontrivial inferences, develop and use scientific theories, make laws, and adapt to complex dyna...
Vladimir M. Sloutsky