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NECO
2007
127views more  NECO 2007»
15 years 6 months ago
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
Joseph F. Murray, Kenneth Kreutz-Delgado
NETWORK
2007
167views more  NETWORK 2007»
15 years 6 months ago
Sensor Localization under Limited Measurement Capabilities
If we abstract a sensor network as a network graph consisting of vertices and edges, where vertices represent sensor nodes and edges represent distance measurements between neighbo...
Chen Wang, Li Xiao
NN
2007
Springer
162views Neural Networks» more  NN 2007»
15 years 6 months ago
Learning grammatical structure with Echo State Networks
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...
NN
2007
Springer
172views Neural Networks» more  NN 2007»
15 years 6 months ago
A computational neuroscience approach to consciousness
Simultaneous recordings from populations of neurons in the inferior temporal visual cortex show that most of the information about which stimulus was shown is available in the num...
Edmund T. Rolls
PAMI
2007
245views more  PAMI 2007»
15 years 6 months ago
Tracking People by Learning Their Appearance
—An open vision problem is to automatically track the articulations of people from a video sequence. This problem is difficult because one needs to determine both the number of p...
Deva Ramanan, David A. Forsyth, Andrew Zisserman
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