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IJON
2008
109views more  IJON 2008»
13 years 9 months ago
Unsupervised learning neural network with convex constraint: Structure and algorithm
This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...
Hengqing Tong, Tianzhen Liu, Qiaoling Tong
ECCV
2004
Springer
14 years 10 months ago
A Correlation-Based Approach to Robust Point Set Registration
Correlation is a very effective way to align intensity images. We extend the correlation technique to point set registration using a method we call kernel correlation. Kernel corre...
Yanghai Tsin, Takeo Kanade
ICCV
2005
IEEE
14 years 10 months ago
Passive Photometric Stereo from Motion
We introduce an iterative algorithm for shape reconstruction from multiple images of a moving (Lambertian) object illuminated by distant (and possibly time varying) lighting. Star...
Jongwoo Lim, Jeffrey Ho, Ming-Hsuan Yang, David J....
GLOBECOM
2009
IEEE
14 years 3 months ago
EXIT Chart Evaluation of a Receiver Structure for Multi-User Multi-Antenna OFDM Systems
— In this paper we evaluate, by means of Extrinsic Information Transfer (EXIT) charts, an iterative receiver that has emerged as a promising candidate for non-coherent multi-user...
Peter Hammarberg, Fredrik Rusek, Pierluigi Salvo R...
PAMI
2008
160views more  PAMI 2008»
13 years 8 months ago
Parametric Image Alignment Using Enhanced Correlation Coefficient Maximization
In this work, we propose the use of a modified version of the correlation coefficient as a performance criterion for the image alignment problem. The proposed modification has the ...
Georgios D. Evangelidis, Emmanouil Z. Psarakis