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ENGL
2007
148views more  ENGL 2007»
15 years 6 months ago
A General Reflex Fuzzy Min-Max Neural Network
—“A General Reflex Fuzzy Min-Max Neural Network” (GRFMN) is presented. GRFMN is capable to extract the underlying structure of the data by means of supervised, unsupervised a...
Abhijeet V. Nandedkar, Prabir Kumar Biswas
KI
2007
Springer
16 years 20 days ago
Location-Based Activity Recognition
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person’s activities and signi...
Dieter Fox
SIGMETRICS
2005
ACM
102views Hardware» more  SIGMETRICS 2005»
16 years 2 days ago
A statistical framework for efficient monitoring of end-to-end network properties
Network service providers and customers are often concerned with aggregate performance measures that span multiple network paths. Unfortunately, forming such network-wide measures ...
David B. Chua, Eric D. Kolaczyk, Mark Crovella
BMCBI
2010
202views more  BMCBI 2010»
15 years 6 months ago
NeMo: Network Module identification in Cytoscape
Background: As the size of the known human interactome grows, biologists increasingly rely on computational tools to identify patterns that represent protein complexes and pathway...
Corban G. Rivera, Rachit Vakil, Joel S. Bader
CVPR
2004
IEEE
16 years 8 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic