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» Probability Models for High Dynamic Range Imaging
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ECCV
2010
Springer
15 years 8 months ago
Compressive Acquisition of Dynamic Scenes
Abstract. Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals and images that enables sampling rates significantly below the classical Ny...
GLOBECOM
2009
IEEE
15 years 1 months ago
Modelling of the WCDMA Interface in the UMTS Network with Soft Handoff Mechanism
The paper proposes an analytical approach to blocking probability calculation in the UMTS network carrying a mixture of multi-rate traffic, under the assumption that the part of re...
Maciej Stasiak, Piotr Zwierzykowski, Damian Parnie...
ICCV
2007
IEEE
16 years 5 months ago
Optimization and Learning for Registration of Moving Dynamic Textures
We address the problem of registering a sequence of images in a moving dynamic texture video. This involves optimization with respect to camera motion, the average image, and the ...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas
UC
2009
Springer
15 years 9 months ago
Random Number Selection in Self-assembly
Abstract. We investigate methods for exploiting nondeterminism inherent within the Tile Assembly Model in order to generate uniform random numbers. Namely, given an integer range {...
David Doty, Jack H. Lutz, Matthew J. Patitz, Scott...
ICIP
2006
IEEE
16 years 5 months ago
Submotions for Hidden Markov Model Based Dynamic Facial Action Recognition
Video based analysis of a persons' mood or behavior is in general performed by interpreting various features observed on the body. Facial actions, such as speaking, yawning o...
Dejan Arsic, Joachim Schenk, Björn Schuller, ...