750 search results - page 88 / 150 » Reconstruction for Models on Random Graphs |
ICML
2006
IEEE
16 years 19 days ago
2006
IEEE
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
133
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ECCV
2004
Springer
16 years 1 months ago
2004
Springer
The problem of interactive foreground/background segmentation in still images is of great practical importance in image editing. The state of the art in interactive segmentation is...
NIPS
2007
15 years 1 months ago
2007
Recent research has studied the role of sparsity in high dimensional regression and signal reconstruction, establishing theoretical limits for recovering sparse models from sparse...
105
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SDM
2007
SIAM
15 years 1 months ago
2007
SIAM
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
113
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IJWMC
2010
14 years 9 months ago
2010
Coverage, fault tolerance and power consumption constraints make optimal placement of mobile sensors or other mobile agents a hard problem. We have developed a model for describin...