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ICML
2003
IEEE
15 years 11 months ago
Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution
Feature selection, as a preprocessing step to machine learning, has been effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improvin...
Lei Yu, Huan Liu
81
Voted
ICIP
2008
IEEE
15 years 12 months ago
Fast adaptive elliptical filtering using box splines
We demonstrate that it is possible to filter an image with an elliptic window of varying size, elongation and orientation with a fixed computational cost per pixel. Our method inv...
Arrate Muñoz-Barrutia, Kunal Narayan Chaudh...
JUCS
2010
265views more  JUCS 2010»
14 years 8 months ago
A General Framework for Multi-Human Tracking using Kalman Filter and Fast Mean Shift Algorithms
: The task of reliable detection and tracking of multiple objects becomes highly complex for crowded scenarios. In this paper, a robust framework is presented for multi-Human track...
Ahmed Ali, Kenji Terada
ICIP
2007
IEEE
15 years 12 months ago
DSP Implementation of Deblocking Filter for AVS
The in-loop deblocking filter contains highly adaptive processing on both sample level and block edge level, which inevitably appears in the loop kernel of the algorithm. Therefor...
Zhigang Yang, Wen Gao, Yan Liu, Debin Zhao
96
Voted
CORR
2010
Springer
109views Education» more  CORR 2010»
14 years 10 months ago
Fast space-variant elliptical filtering using box splines
The efficient realization of linear space-variant (non-convolution) filters is a challenging computational problem in image processing. In this paper, we demonstrate that it is po...
Kunal Narayan Chaudhury, Arrate Muñoz-Barru...