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NIPS
2007
13 years 10 months ago
Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion
We consider apprenticeship learning—learning from expert demonstrations—in the setting of large, complex domains. Past work in apprenticeship learning requires that the expert...
J. Zico Kolter, Pieter Abbeel, Andrew Y. Ng
SIGOPSE
2004
ACM
14 years 2 months ago
Undo for anyone, anywhere, anytime
Computer systems are complex and unforgiving. Users need environments more tolerant of errors, allowing them to correct mistakes and explore alternatives. This is the aim of Joyce...
James O'Brien, Marc Shapiro
COMPGEOM
2011
ACM
13 years 17 days ago
Compressive sensing with local geometric features
We propose a framework for compressive sensing of images with local geometric features. Specifically, let x ∈ RN be an N-pixel image, where each pixel p has value xp. The image...
Rishi Gupta, Piotr Indyk, Eric Price, Yaron Rachli...
ICRA
2005
IEEE
138views Robotics» more  ICRA 2005»
14 years 2 months ago
Urban Object Recognition from Informative Local Features
Abstract— Autonomous mobile agents require object recognition for high level interpretation and localization in complex scenes. In urban environments, recognition of buildings mi...
Gerald Fritz, Christin Seifert, Lucas Paletta
JDWM
2010
139views more  JDWM 2010»
13 years 7 months ago
Mining Frequent Generalized Patterns for Web Personalization in the Presence of Taxonomies
The Web is a continuously evolving environment, since its content is updated on a regular basis. As a result, the traditional usagebased approach to generate recommendations that ...
Panagiotis Giannikopoulos, Iraklis Varlamis, Magda...