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» Learning and prediction of slip from visual information
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ICCV
2005
IEEE
14 years 7 months ago
Building a Classification Cascade for Visual Identification from One Example
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
CICLING
2006
Springer
13 years 9 months ago
Predicting Dialogue Acts from Prosodic Information
In this paper, the influence of intonation to recognize dialogue acts from speech is assessed. Assessment is based on an empirical approach: manually tagged data from a spoken-dial...
Sergio Rafael Coria Olguin, Luis Alberto Pineda Co...
ICRA
2003
IEEE
114views Robotics» more  ICRA 2003»
13 years 11 months ago
Robotic catching using a direct mapping from visual information to motor command
— In this paper a robotic catching algorithm based on a nonlinear mapping of visual information to the desired trajectory is proposed. The nonlinear mapping is optimized by learn...
Akio Namiki, Masatoshi Ishikawa
ICML
2005
IEEE
14 years 6 months ago
Q-learning of sequential attention for visual object recognition from informative local descriptors
This work provides a framework for learning sequential attention in real-world visual object recognition, using an architecture of three processing stages. The first stage rejects...
Lucas Paletta, Gerald Fritz, Christin Seifert
RAS
2010
216views more  RAS 2010»
13 years 4 months ago
A nonparametric learning approach to range sensing from omnidirectional vision
We present a novel approach to estimating depth from single omnidirectional camera images by learning the relationship between visual features and range measurements available dur...
Christian Plagemann, Cyrill Stachniss, Jürgen...