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ECCV
2010
Springer
15 years 2 months ago
Fast Approximate Nearest Neighbor Methods for Non-Euclidean Manifolds with Applications to Human Activity Analysis in Videos
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
Rizwan Chaudhry, Yuri Ivanov
APNOMS
2006
Springer
15 years 1 months ago
Temporal Patterns and Properties in Multiple-Flow Interactions
It is widely recognized that today's Internet traffic is mostly carried by a relatively small number of elephant flows while mice flows constitute up to 80% of all active flow...
Marat Zhanikeev, Yoshiaki Tanaka
CVPR
2009
IEEE
16 years 4 months ago
Learning Trajectory Patterns by Clustering: Experimental Studies and Comparative Evaluation
Recently a large amount of research has been devoted to automatic activity analysis. Typically, activities have been defined by their motion characteristics and represented by t...
Brendan Morris, Mohan M. Trivedi
ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
15 years 3 months ago
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Rayner Alfred, Dimitar Kazakov
JSAC
2006
89views more  JSAC 2006»
14 years 9 months ago
A Comparison of Poisson and Uniform Sampling for Active Measurements
Active probes of network performance represent samples of the underlying performance of a system. Some effort has gone into considering appropriate sampling patterns for such probe...
Matthew Roughan