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CDC
2010
IEEE
173views Control Systems» more  CDC 2010»
14 years 11 months ago
Corrective consensus: Converging to the exact average
Consensus algorithms provide an elegant distributed way for computing the average of a set of measurements across a sensor network. However, the convergence of the node estimates t...
Yin Chen, Roberto Tron, Andreas Terzis, René...
ECCV
2008
Springer
16 years 6 months ago
Background Subtraction on Distributions
Environmental monitoring applications present a challenge to current background subtraction algorithms that analyze the temporal variability of pixel intensities, due to the comple...
Teresa Ko, Stefano Soatto, Deborah Estrin
ICPR
2006
IEEE
16 years 5 months ago
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
B. Michael Kelm, Chris Pal, Andrew McCallum
ICPR
2002
IEEE
16 years 5 months ago
Automatic Grading Prototype System for KANJI Dictation Test
This paper presents an automatic grading prototype system developed as recognition engine for Japanese KANJI Dictation Test which aims to certificate the reading and writing abili...
Meng Shi, Tetsushi Wakabayashi, Wataru Ohyama, Fum...
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
16 years 5 months ago
The distributed boosting algorithm
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Aleksandar Lazarevic, Zoran Obradovic