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ACCV
2007
Springer
14 years 4 months ago
A Theoretical Approach to Construct Highly Discriminative Features with Application in AdaBoost
AdaBoost is a practical method of real-time face detection, but abides by a crucial problem of overfitting for the big number of features used in a trained classifier due to the ...
Yuxin Jin, Linmi Tao, Guangyou Xu, Yuxin Peng
DATE
2004
IEEE
151views Hardware» more  DATE 2004»
14 years 1 months ago
Boosting: Min-Cut Placement with Improved Signal Delay
In this work we improve top-down min-cut placers in the context of timing closure. Using the concept of boosting factors, we adjust net weights according to net spans, so as to re...
Andrew B. Kahng, Igor L. Markov, Sherief Reda
ICPR
2010
IEEE
13 years 7 months ago
Multi-class Graph Boosting with Subgraph Sharing for Object Recognition
In this paper, we propose a novel multi-class graph boosting algorithm to recognize different visual objects. The proposed method treats subgraph as feature to construct base clas...
Bang Zhang, Getian Ye, Yang Wang 0002, Wei Wang, J...
CVPR
2001
IEEE
14 years 12 months ago
Tracking of Object with SVM Regression
This paper presents a novel feature-matching based approach for rigid object tracking. The proposed method models the tracking problem as discovering the affine transforms of obje...
Weiyu Zhu, Song Wang, Ruei-Sung Lin, Stephen E. Le...
ENTCS
2007
116views more  ENTCS 2007»
13 years 10 months ago
Handling Model Changes: Regression Testing and Test-Suite Update with Model-Checkers
Several model-checker based methods to automated test-case generation have been proposed recently. The performance and applicability largely depends on the complexity of the model...
Gordon Fraser, Bernhard K. Aichernig, Franz Wotawa