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BMCBI
2010
182views more  BMCBI 2010»
13 years 8 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
ICIP
2008
IEEE
14 years 2 months ago
Localized and computationally efficient approach to shift-variant image deblurring
A new localized and computationally efficient approach is presented for shift/space-variant image restoration. Unlike conventional approaches, it models shift-variant blurring in...
Murali Subbarao, Youn-sik Kang, Satyaki Dutta, Xue...
TCSV
2002
103views more  TCSV 2002»
13 years 7 months ago
A scalable and programmable architecture for 2-D DWT decoding
The compression of still images by means of the discrete wavelet transform (DWT), adopted in the JPEG-2000 and MPEG-4 standards, is becoming more and more widespread because it yie...
Massimo Ravasi, L. Tenze, Marco Mattavelli
CPAIOR
2010
Springer
13 years 11 months ago
Hybrid Methods for the Multileaf Collimator Sequencing Problem
Abstract. The multileaf collimator sequencing problem is an important component of the effective delivery of intensity modulated radiotherapy used in the treatment of cancer. The p...
Hadrien Cambazard, Eoin O'Mahony, Barry O'Sullivan
PAMI
2012
11 years 10 months ago
Trainable Convolution Filters and Their Application to Face Recognition
—In this paper, we present a novel image classification system that is built around a core of trainable filter ensembles that we call Volterra kernel classifiers. Our system trea...
Ritwik Kumar, Arunava Banerjee, Baba C. Vemuri, Ha...