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» A Boosting Algorithm for Regression
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CVPR
2008
IEEE
16 years 5 months ago
Taylor expansion based classifier adaptation: Application to person detection
Because of the large variation across different environments, a generic classifier trained on extensive data-sets may perform sub-optimally in a particular test environment. In th...
Cha Zhang, Raffay Hamid, Zhengyou Zhang
117
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ICPR
2006
IEEE
16 years 4 months ago
Classifiers for Motion
In this paper we present a unsupervised learning based approach for sub-pixel motion estimation. The novelty of this work is the learning based method itself which tries to learn ...
Mithun Das Gupta, Nemanja Petrovic, ShyamSundar Ra...
138
Voted
BMVC
2010
15 years 1 months ago
Additive Update Predictors in Active Appearance Models
The Active Appearance Model (AAM) provides an efficient method for localizing objects that vary in both shape and texture, and uses a linear regressor to predict updates to model ...
Philip A. Tresadern, Patrick Sauer, Timothy F. Coo...
139
Voted
KDD
2006
ACM
165views Data Mining» more  KDD 2006»
16 years 4 months ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
150
Voted
PERCOM
2006
ACM
16 years 3 months ago
Exploring Spatial Correlation for Link Quality Estimation in Wireless Sensor Networks
The irregularity in quality of wireless communication links poses significant research challenges in wireless sensor network design. Dynamic network conditions and environmental f...
Yingqi Xu, Wang-Chien Lee