440 search results - page 30 / 88 » Learning the structure of manifolds using random projections |
KAIS
2011
13 years 3 months ago
2011
Triangle counting is an important problem in graph mining. Two frequently used metrics in complex network analysis which require the count of triangles are the clustering coefficie...
MINENET
2006
ACM
14 years 2 months ago
2006
ACM
We examine the ability to exploit the hierarchical structure of Internet addresses in order to endow network agents with predictive capabilities. Specifically, we consider Suppor...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
State-of-the-art stereo vision algorithms utilize color changes as important cues for object boundaries. Most methods impose heuristic restrictions or priors on disparities, for e...
IJRR
2007
13 years 8 months ago
2007
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...
HT
2000
ACM
14 years 24 days ago
2000
ACM
Software components for distance and just-in-time (JIT) learning are an increasingly common method of encouraging reuse and facilitating the development process[58], but no analog...