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CVPR
2007
IEEE
15 years 11 months ago
Generative Graphical Models for Maneuvering Object Tracking and Dynamics Analysis
We study the challenging problem of maneuvering object tracking with unknown dynamics, i.e., forces or torque. We investigate the underlying causes of object kinematics, and propo...
Xin Fan, Guoliang Fan
ADVIS
2004
Springer
15 years 1 months ago
On Families of New Adaptive Compression Algorithms Suitable for Time-Varying Source Data
In this paper, we introduce a new approach to adaptive coding which utilizes Stochastic Learning-based Weak Estimation (SLWE) techniques to adaptively update the probabilities of t...
Luís G. Rueda, B. John Oommen
NIPS
2001
14 years 10 months ago
An Efficient Clustering Algorithm Using Stochastic Association Model and Its Implementation Using Nanostructures
This paper describes a clustering algorithm for vector quantizers using a "stochastic association model". It offers a new simple and powerful softmax adaptation rule. Th...
Takashi Morie, Tomohiro Matsuura, Makoto Nagata, A...
DRR
2008
14 years 10 months ago
Efficient implementation of local adaptive thresholding techniques using integral images
Adaptive binarization is an important first step in many document analysis and OCR processes. This paper describes a fast adaptive binarization algorithm that yields the same qual...
Faisal Shafait, Daniel Keysers, Thomas M. Breuel
IPPS
1999
IEEE
15 years 1 months ago
An Efficient Logging Algorithm for Incremental Replay of Message
To support incremental replay of message-passing applications, processes must periodically checkpoint and the content of some messages must be logged, to break dependencies of the...
Franco Zambonelli