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ICPR
2000
IEEE
16 years 2 months ago
Robust Dense Matching Using Local and Global Geometric Constraints
A new robust dense matching algorithm is introduced in this paper. The algorithm starts from matching the most textured points, then a match propagation algorithm is developed wit...
Maxime Lhuillier, Long Quan
ICML
2008
IEEE
16 years 2 months ago
The skew spectrum of graphs
The central issue in representing graphstructured data instances in learning algorithms is designing features which are invariant to permuting the numbering of the vertices. We pr...
Risi Imre Kondor, Karsten M. Borgwardt
AVSS
2008
IEEE
15 years 8 months ago
A Fast Linear Registration Framework for Multi-camera GIS Coordination
We propose a novel registration framework to map the field-of-coverage of pan-tilt cameras to a GIS (Geographic Information System) planar coordinate system. The camera’s fiel...
Karthik Sankaranarayanan, James W. Davis
IJCNN
2008
IEEE
15 years 8 months ago
Sparse support vector machines trained in the reduced empirical feature space
— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...
Kazuki Iwamura, Shigeo Abe
IWANN
2005
Springer
15 years 7 months ago
Load Forecasting Using Fixed-Size Least Squares Support Vector Machines
Based on the Nystr¨om approximation and the primal-dual formulation of Least Squares Support Vector Machines (LS-SVM), it becomes possible to apply a nonlinear model to a large sc...
Marcelo Espinoza, Johan A. K. Suykens, Bart De Moo...