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» Probability Models for High Dynamic Range Imaging
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ECCV
2010
Springer
15 years 3 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
14 years 7 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
15 years 11 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 4 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
15 years 11 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, ...