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119
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ICIP
2002
IEEE
16 years 4 months ago
Learning a decision boundary for face detection
This paper describes a pattern classification approach for detecting frontal-view faces via learning a decision boundary. The classification can be achieved either by explicit est...
Tae-Kyun Kim, Donggeon Kong, Sang Ryong Kim
143
Voted
ICIP
2006
IEEE
16 years 4 months ago
Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse Noisy Data
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
107
Voted
TIP
2008
155views more  TIP 2008»
15 years 2 months ago
Improving Color Constancy Using Indoor-Outdoor Image Classification
In this work, we investigate how illuminant estimation techniques can be improved, taking into account automatically extracted information about the content of the images. We consi...
Simone Bianco, Gianluigi Ciocca, Claudio Cusano, R...
139
Voted
PKDD
2005
Springer
101views Data Mining» more  PKDD 2005»
15 years 8 months ago
A Random Method for Quantifying Changing Distributions in Data Streams
In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...
Haixun Wang, Jian Pei
139
Voted
ICML
2004
IEEE
16 years 3 months ago
Co-EM support vector learning
Multi-view algorithms, such as co-training and co-EM, utilize unlabeled data when the available attributes can be split into independent and compatible subsets. Co-EM outperforms ...
Ulf Brefeld, Tobias Scheffer