2865 search results - page 361 / 573 » Learning Models for Object Recognition |
170
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BC
2002
15 years 3 months ago
2002
Taking a global analogy with the structure of perceptual biological systems, we present a system composed of two layers of real-valued sigmoidal neurons. The primary layer receives...
147
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ECCV
2002
Springer
16 years 5 months ago
2002
Springer
The problem of pose estimation arises in many areas of computer vision, including object recognition, object tracking, site inspection and updating, and autonomous navigation when...
122
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NIPS
2007
15 years 4 months ago
2007
We present a probabilistic generative model of visual attributes, together with an efficient learning algorithm. Attributes are visual qualities of objects, such as ‘red’, ...
118
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ICANN
1997
Springer
15 years 7 months ago
1997
Springer
Abstract. The recurrent associative memory networks with complexvalued Hebbian matrices of connections are designed from interacting limitcycle oscillators. These oscillatory netwo...
120
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SODA
2001
ACM
15 years 4 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...