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» Image Based Regression Using Boosting Method
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118
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IVC
2006
133views more  IVC 2006»
15 years 2 months ago
A subspace method for projective reconstruction from multiple images with missing data
In this paper, we consider the problem of projective reconstruction based on the subspace method. Unlike existing subspace methods which require that all the points are visible in...
W. K. Tang, Y. S. Hung
129
Voted
BMCBI
2004
132views more  BMCBI 2004»
15 years 2 months ago
Two-stage normalization using background intensities in cDNA microarray data
Background: In the microarray experiment, many undesirable systematic variations are commonly observed. Normalization is the process of removing such variation that affects the me...
Dankyu Yoon, Sung-Gon Yi, Ju-Han Kim, Taesung Park
135
Voted
ICML
2003
IEEE
16 years 3 months ago
The Pre-Image Problem in Kernel Methods
In this paper, we address the problem of finding the pre-image of a feature vector in the feature space induced by a kernel. This is of central importance in some kernel applicatio...
James T. Kwok, Ivor W. Tsang
147
Voted
CVPR
2004
IEEE
15 years 6 months ago
Efficient Graphical Models for Processing Images
Graphical models are powerful tools for processing images. However, the large dimensionality of even local image data poses a difficulty: representing the range of possible graphi...
Marshall F. Tappen, Bryan C. Russell, William T. F...
BMVC
2001
15 years 5 months ago
3-D Object Recognition Based on Integration of Range Image and Gray-scale Image
In this paper, we propose a practical object recognition system which consists of two functional modules. The first is object extraction module using a range image, and the second...
Manabu Hashimoto, Kazuhiko Sumi