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CVPR
2010
IEEE
14 years 1 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
ICCV
2003
IEEE
14 years 7 months ago
Regression based Bandwidth Selection for Segmentation using Parzen Windows
We consider the problem of segmentation of images that can be modelled as piecewise continuous signals having unknown, non-stationary statistics. We propose a solution to this pro...
Maneesh Kumar Singh, Narendra Ahuja
ICTAI
2007
IEEE
14 years 2 days ago
Photometric Invariant Projective Registration Using ECC Maximization
The ability of an algorithm to accurately estimate the parameters of the geometric transformation which aligns two image profiles even in the presence of photometric distortions ...
Georgios D. Evangelidis, Emmanouil Z. Psarakis
ACCV
2006
Springer
13 years 9 months ago
Motion Detection in Driving Environment Using U-V-Disparity
Abstract. Motion detection in driving environment, which aims to detect REAL moving objects from continuously changing background, is vital for Adaptive Cruise Control (ACC) applic...
Jia Wang, Zhencheng Hu, Hanqing Lu, Keiichi Uchimu...
ICASSP
2009
IEEE
14 years 15 days ago
MIMO decoding based on stochastic reconstruction from multiple projections
Least squares (LS) fitting is one of the most fundamental techniques in science and engineering. It is used to estimate parameters from multiple noisy observations. In many probl...
Amir Leshem, Jacob Goldberger