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ICIP
2006
IEEE
14 years 9 months ago
Denoising Archival Films using a Learned Bayesian Model
We develop a Bayesian model of digitized archival films and use this for denoising, or more specifically de-graining, individual frames. In contrast to previous approaches our mod...
Teodor Mihai Moldovan, Stefan Roth, Michael J. Bla...
ICPR
2006
IEEE
14 years 9 months ago
Enhancing Training Set for Face Detection
We present a novel method to enhance training set for face detection with nonlinearly generated examples from the original data. The motivation is from Support Vector Machines (SV...
Ruiping Wang, Jie Chen, Shiguang Shan, Wen Gao
AICCSA
2005
IEEE
129views Hardware» more  AICCSA 2005»
13 years 10 months ago
Enhanced visual evaluation of feature extractors for image mining
Plus BROWSE SEARCH IEEE XPLORE GUIDE SUPPORT View TOC Enhanced visual evaluation of feature extractors for image mining Rodrigues, J.F., Jr. Traina, A.J.M. Traina, C., Jr. Comput. ...
José Fernando Rodrigues Jr., Agma J. M. Tra...
KES
2008
Springer
13 years 8 months ago
Mammographic Image Contrast Enhancement through the Use of Moving Contrast Sweep
Low contrast in mammographic image has always made detection of subtle signs such as the presence of micro calcification within dense tissue a challenge. Therefore, numerous resear...
Zailani Mohd. Nordin, Nor Ashidi Mat Isa, Umi Kalt...
CVPR
2009
IEEE
14 years 2 months ago
Automatic facial landmark labeling with minimal supervision
Landmark labeling of training images is essential for many learning tasks in computer vision, such as object detection, tracking, and alignment. Image labeling is typically conduc...
Yan Tong, Xiaoming Liu 0002, Frederick W. Wheeler,...