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PR
2007
147views more  PR 2007»
13 years 9 months ago
Coarse to over-fine optical flow estimation
We present a readily applicable way to go beyond the accuracy limits of current optical flow estimators. Modern optical flow algorithms employ the coarse to fine approach. We s...
Tomer Amiaz, Eyal Lubetzky, Nahum Kiryati
PR
2007
106views more  PR 2007»
13 years 9 months ago
Extraction and segmentation of tables from Chinese ink documents based on a matrix model
This paper presents an approach for extracting and segmenting tables from Chinese ink documents based on a matrix model. An ink document is first modeled as a matrix containing i...
Xi-Wen Zhang, Michael R. Lyu, Guo-zhong Dai
PR
2010
158views more  PR 2010»
13 years 8 months ago
Out-of-bag estimation of the optimal sample size in bagging
The performance of m-out-of-n bagging with and without replacement in terms of the sampling ratio (m/n) is analyzed. Standard bagging uses resampling with replacement to generate ...
Gonzalo Martínez-Muñoz, Alberto Su&a...
PR
2010
163views more  PR 2010»
13 years 8 months ago
Optimal feature selection for support vector machines
Selecting relevant features for Support Vector Machine (SVM) classifiers is important for a variety of reasons such as generalization performance, computational efficiency, and ...
Minh Hoai Nguyen, Fernando De la Torre
PR
2010
156views more  PR 2010»
13 years 8 months ago
The hyperbolic smoothing clustering method
It is considered the minimum sum-of-squares clustering problem. The mathematical modeling of this problem leads to a min − sum − min formulation which, in addition to its intr...
Adilson Elias Xavier