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» Learning Models for Object Recognition
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75
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NN
2002
Springer
161views Neural Networks» more  NN 2002»
14 years 9 months ago
AANN: an alternative to GMM for pattern recognition
The objective in any pattern recognition problem is to capture the characteristics common to each class from feature vectors of the training data. While Gaussian mixture models ap...
B. Yegnanarayana, S. P. Kishore
TROB
2008
207views more  TROB 2008»
14 years 10 months ago
Learning Object Affordances: From Sensory-Motor Coordination to Imitation
Affordances encode relationships between actions, objects and effects. They play an important role on basic cognitive capabilities such as prediction and planning. We address the p...
Luis Montesano, Manuel Lopes, Alexandre Bernardino...
90
Voted
ICPR
2002
IEEE
15 years 11 months ago
Recognition of Gestures in the Context of Speech
The scope of this paper is the interpretation of a user's intention via a video camera and a speech recognizer. In comparison to previous work which only takes into account g...
Matthieu Bray, Hedvig Sidenbladh, Jan-Olof Eklundh
CATA
2000
14 years 11 months ago
Neocognitron for rotated pattern recognition
Ideally computer pattern recognition systems should be insensitive to scaling, translation, distortion and rotation. Many neural network models have been proposed to address this ...
Michael Tran, Siddheswar Ray, Ronald Pose
72
Voted
ICRA
2009
IEEE
111views Robotics» more  ICRA 2009»
15 years 4 months ago
Interactive learning of the acoustic properties of household objects
— Human beings can perceive object properties such as size, weight, and material type based solely on the sounds that the objects make when an action is performed on them. In ord...
Jivko Sinapov, Mark Wiemer, Alexander Stoytchev