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» A Robust Minimax Approach to Classification
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ICDE
2009
IEEE
156views Database» more  ICDE 2009»
14 years 10 months ago
Online Anomaly Prediction for Robust Cluster Systems
In this paper, we present a stream-based mining algorithm for online anomaly prediction. Many real-world applications such as data stream analysis requires continuous cluster opera...
Xiaohui Gu, Haixun Wang
CVPR
2010
IEEE
14 years 5 months ago
Fast and Robust Object Segmentation with the Integral Linear Classifier
We propose an efficient method, built on the popular Bag of Features approach, that obtains robust multiclass pixellevel object segmentation of an image in less than 500ms, with...
David Aldavert, Arnau Ramisa, Ricardo Toledo, Ramo...
ACIVS
2006
Springer
14 years 23 days ago
Robust Analysis of Silhouettes by Morphological Size Distributions
We address the topic of real-time analysis and recognition of silhouettes. The method that we propose first produces object features obtained by a new type of morphological operato...
Olivier Barnich, Sébastien Jodogne, Marc Va...
CVPR
2008
IEEE
14 years 11 months ago
Classification and evaluation of cost aggregation methods for stereo correspondence
In the last decades several cost aggregation methods aimed at improving the robustness of stereo correspondence within local and global algorithms have been proposed. Given the re...
Federico Tombari, Stefano Mattoccia, Luigi di Stef...
DCC
2007
IEEE
14 years 8 months ago
Joint Optimization of Distributed Broadcast Quantization Systems for Classification
We develop a simulated annealing technique to jointly optimize a distributed quantization structure meant to maximize the asymptotic error exponent of a downstream classifier or d...
Michael A. Lexa, Don H. Johnson