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166
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NIPS
2004
15 years 6 months ago
2004
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
176
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NIPS
2004
15 years 6 months ago
2004
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
143
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NIPS
2004
15 years 6 months ago
2004
In many applications, good ranking is a highly desirable performance for a classifier. The criterion commonly used to measure the ranking quality of a classification algorithm is ...
147
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NIPS
2004
15 years 6 months ago
2004
We present a generative model and stochastic filtering algorithm for simultaneous tracking of 3D position and orientation, non-rigid motion, object texture, and background texture...
145
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NSDI
2004
15 years 6 months ago
2004
Reducing management costs and improving the availability of large-scale distributed systems require automatic replica regeneration, i.e., creating new replicas in response to repl...