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HRI
2010
ACM
13 years 11 months ago
The hesitation of a robot: a delay in its motion increases learning efficiency and impresses humans as teachable
If robots learn new actions through human-robot interaction, it is important that the robots can utilize rewards as well as instructions to reduce humans' efforts. Additionall...
Kazuaki Tanaka, Motoyuki Ozeki, Natsuki Oka
ICPR
2010
IEEE
13 years 6 months ago
Beyond "Near Duplicates": Learning Hash Codes for Efficient Similar-Image Retrieval
Finding similar images in a large database is an important, but often computationally expensive, task. In this paper, we present a two-tier similar-image retrieval system with the...
Shumeet Baluja, Michele Covell
NIPS
2004
13 years 10 months ago
Learning Efficient Auditory Codes Using Spikes Predicts Cochlear Filters
The representation of acoustic signals at the cochlear nerve must serve a wide range of auditory tasks that require exquisite sensitivity in both time and frequency. Lewicki (2002...
Evan C. Smith, Michael S. Lewicki
ICCV
2007
IEEE
14 years 11 months ago
Graph Based Discriminative Learning for Robust and Efficient Object Tracking
Object tracking is viewed as a two-class 'one-versusrest' classification problem, in which the sample distribution of the target is approximately Gaussian while the back...
Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi ...
ECAI
2000
Springer
14 years 19 days ago
Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations
Abstract. We are interested in the relationship between learning efficiency and representation in the case of supervised neural networks for pattern classification trained by conti...
Marco Gori, Paolo Frasconi, Alessandro Sperduti