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» On Computability of Pattern Recognition Problems
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ICCV
2007
IEEE
16 years 1 months ago
Support Kernel Machines for Object Recognition
Kernel classifiers based on Support Vector Machines (SVM) have recently achieved state-of-the art results on several popular datasets like Caltech or Pascal. This was possible by...
Ankita Kumar, Cristian Sminchisescu
CVPR
2005
IEEE
16 years 1 months ago
Nonlinear Face Recognition Based on Maximum Average Margin Criterion
This paper proposes a novel nonlinear discriminant analysis method named by Kernerlized Maximum Average Margin Criterion (KMAMC), which has combined the idea of Support Vector Mac...
Baochang Zhang, Xilin Chen, Shiguang Shan, Wen Gao
PAMI
2007
245views more  PAMI 2007»
15 years 7 months ago
Conformal Geometry and Its Applications on 3D Shape Matching, Recognition, and Stitching
—Three-dimensional shape matching is a fundamental issue in computer vision with many applications such as shape registration, 3D object recognition, and classification. However,...
Sen Wang, Yang Wang, Miao Jin, Xianfeng David Gu, ...
MCS
2001
Springer
15 years 12 months ago
Dependence among Codeword Bits Errors in ECOC Learning Machines: An Experimental Analysis
One of the main factors affecting the effectiveness of ECOC methods for classification is the dependence among the errors of the computed codeword bits. We present an extensive ...
Francesco Masulli, Giorgio Valentini
MCS
2011
Springer
15 years 2 months ago
Solving macroeconomic models with "off-the-shelf" software: An example of potential pitfalls
: When working with large-scale models or numerous small models, there can be a temptation to rely on default settings in proprietary software to derive solutions to the model. In ...
Ric D. Herbert, Peter J. Stemp