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» Approximating Markov Processes by Averaging
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ICASSP
2011
IEEE
12 years 11 months ago
Convergence results in distributed Kalman filtering
Abstract—The paper studies the convergence properties of the estimation error processes in distributed Kalman filtering for potentially unstable linear dynamical systems. In par...
Soummya Kar, Shuguang Cui, H. Vincent Poor, Jos&ea...
APGV
2006
ACM
287views Visualization» more  APGV 2006»
14 years 1 months ago
Contrast enhancement of images using human contrast sensitivity
Study of contrast sensitivity of the human eye shows that our contrast discrimination sensitivity follows the weber law for suprathreshold levels. In this paper, we apply this fac...
Aditi Majumder, Sandy Irani
ICASSP
2009
IEEE
13 years 5 months ago
Ensembles of landmark multidimensional scalings
Landmark multidimensional scaling (LMDS) uses a subset of data (landmark points) to solve classical MDS, where the scalability is increased but the approximation is noise-sensitiv...
Seunghak Lee, Seungjin Choi
ISCAS
2008
IEEE
195views Hardware» more  ISCAS 2008»
14 years 1 months ago
Multi-view depth video coding using depth view synthesis
— Depth information indicates the distance of an object in the three dimensional (3D) scene from the camera view-point, typically represented by eight bits. Since the depth map i...
Sang-Tae Na, Kwan-Jung Oh, Cheon Lee, Yo-Sung Ho
CRV
2006
IEEE
128views Robotics» more  CRV 2006»
14 years 1 months ago
Local Stereo Matching with Segmentation-based Outlier Rejection
We present a new window-based stereo matching algorithm which focuses on robust outlier rejection during aggregation. The main difficulty for window-based methods lies in determi...
Mark Gerrits, Philippe Bekaert