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ICML
2010
IEEE
13 years 8 months ago
Active Learning for Multi-Task Adaptive Filtering
In this paper, we propose an Active Learning (AL) framework for the Multi-Task Adaptive Filtering (MTAF) problem. Specifically, we explore AL approaches to rapidly improve an MTAF...
Abhay Harpale, Yiming Yang
CVPR
2005
IEEE
14 years 9 months ago
Multiple Object Tracking with Kernel Particle Filter
A new particle filter, Kernel Particle Filter (KPF), is proposed for visual tracking for multiple objects in image sequences. The KPF invokes kernels to form a continuous estimate...
Cheng Chang, Rashid Ansari, Ashfaq A. Khokhar
ICMCS
2005
IEEE
132views Multimedia» more  ICMCS 2005»
14 years 29 days ago
Non-linear image enhancement for digital TV applications using Gabor filters
We propose a non-linear image enhancement method based on Gabor filters, which allows selective enhancement based on the contrast sensitivity function of the human visual system. ...
Yue Yang, Baoxin Li
ICIP
2003
IEEE
14 years 9 months ago
Optimal steerable filters for feature detection
We present a new approach for the design of optimal steerable 2-D templates for feature detection. As opposed to classical schemes where the optimal 1-D template is derived and ex...
Mathews Jacob, Michael Unser
ISCAS
1993
IEEE
105views Hardware» more  ISCAS 1993»
13 years 11 months ago
Maximally flat FIR filters
The existence of nonsymmetric generalized half-band lowpass and highpass FIR filters with maximally flat magnitude and group delay characteristics is proved. Like their linear-p...
Todor Cooklev, Akinori Nishihara