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CVPR
2011
IEEE
13 years 2 months ago
Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds
Active learning and crowdsourcing are promising ways to efficiently build up training sets for object recognition, but thus far techniques are tested in artificially controlled ...
Sudheendra Vijayanarasimhan, Kristen Grauman
ICRA
2009
IEEE
163views Robotics» more  ICRA 2009»
13 years 3 months ago
Object handling tasks based on active tactile and slippage sensations in a multi-fingered humanoid robot arm
This paper presents a new algorithm for object handling tasks based on active tactile and slippage sensations using a humanoid robot multi-fingered arm for an object that exists at...
Hanafiah B. Yussof, Jiro Wada, Masahiro Ohka
TEC
2010
143views more  TEC 2010»
13 years 21 days ago
Active Categorical Perception of Object Shapes in a Simulated Anthropomorphic Robotic Arm
Active perception refers to a theoretical approach to the study of perception grounded on the idea that perceiving is a way of acting, rather than a process whereby the brain const...
Elio Tuci, Gianluca Massera, Stefano Nolfi
TROB
2011
255views more  TROB 2011»
13 years 28 days ago
Active 3D Object Localization Using a Humanoid Robot
—We study the problem of actively searching for an object in a 3D environment under the constraint of a maximum search time, using a visually guided humanoid robot with twentysix...
Alexander Andreopoulos, Stephan Hasler, Heiko Wers...
ICIP
2009
IEEE
13 years 3 months ago
Optimization on active learning strategy for object category retrieval
Active learning is a framework that has attracted a lot of research interest in the content-based image retrieval (CBIR) in recent years. To be effective, an active learning syste...
David Gorisse, Matthieu Cord, Frédér...