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ICDM
2003
IEEE
181views Data Mining» more  ICDM 2003»
14 years 1 months ago
Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift
Algorithms for tracking concept drift are important for many applications. We present a general method based on the Weighted Majority algorithm for using any online learner for co...
Jeremy Z. Kolter, Marcus A. Maloof
PPPJ
2003
ACM
14 years 1 months ago
A new approach for implementing stand-alone and Web-based interpreters for Java
Compared to imperative programming languages like Pascal or Basic, or functional programming languages like ML or Haskell learning Java is hampered by the fact that to get even th...
Stephan Diehl, Claudia Bieg
ECCV
2010
Springer
14 years 25 days ago
A Stochastic Graph Evolution Framework for Robust Multi-Target Tracking
Maintaining the stability of tracks on multiple targets in video over extended time periods remains a challenging problem. A few methods which have recently shown encouraging resul...
FGR
2000
IEEE
159views Biometrics» more  FGR 2000»
14 years 6 days ago
Gesture Modeling and Recognition Using Finite State Machines
This paper proposes a state based approach to gesture learning and recognition. Using spatial clustering and temporal alignment, each gesture is defined to be an ordered sequence ...
Pengyu Hong, Thomas S. Huang, Matthew Turk
CIKM
2006
Springer
13 years 11 months ago
Incremental hierarchical clustering of text documents
Incremental hierarchical text document clustering algorithms are important in organizing documents generated from streaming on-line sources, such as, Newswire and Blogs. However, ...
Nachiketa Sahoo, Jamie Callan, Ramayya Krishnan, G...