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» Two new regularized AdaBoost algorithms
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JMIV
2007
83views more  JMIV 2007»
14 years 9 months ago
Minimization of a Detail-Preserving Regularization Functional for Impulse Noise Removal
Recently, a powerful two-phase method for restoring images corrupted with high level impulse noise has been developed. The main drawback of the method is the computational efficie...
Jian-Feng Cai, Raymond H. Chan, Carmine Di Fiore
101
Voted
COMPUTING
2004
204views more  COMPUTING 2004»
14 years 9 months ago
Image Registration by a Regularized Gradient Flow. A Streaming Implementation in DX9 Graphics Hardware
The presented image registration method uses a regularized gradient flow to correlate the intensities in two images. Thereby, an energy functional is successively minimized by des...
Robert Strzodka, Marc Droske, Martin Rumpf
ICMCS
2006
IEEE
144views Multimedia» more  ICMCS 2006»
15 years 3 months ago
A New Quantization for Rate Control with Frame Variation Consideration
— The main role of rate control in video coding is to handle a trade-off between a bandwidth limit and a video quality. In the low-delay video communication systems, its responsi...
Seonki Kim, Seong-Jae Lim
103
Voted
CORR
2008
Springer
114views Education» more  CORR 2008»
14 years 9 months ago
Temporal Support of Regular Expressions in Sequential Pattern Mining
Classic algorithms for sequential pattern discovery, return all frequent sequences present in a database. Since, in general, only a few ones are interesting from a user's poin...
Leticia I. Gómez, Bart Kuijpers, Alejandro ...
CDC
2008
IEEE
139views Control Systems» more  CDC 2008»
15 years 4 months ago
Iterative Risk Allocation: A new approach to robust Model Predictive Control with a joint chance constraint
Abstract— This paper proposes a novel two-stage optimization method for robust Model Predictive Control (RMPC) with Gaussian disturbance and state estimation error. Since the dis...
Masahiro Ono, Brian C. Williams