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ICCS
2009
Springer
15 years 4 months ago
Fast Conjugate Gradients with Multiple GPUs
The limiting factor for efficiency of sparse linear solvers is the memory bandwidth. In this work, we utilize GPU’s high memory bandwidth for implementation of a sparse iterative...
Ali Cevahir, Akira Nukada, Satoshi Matsuoka
ICDM
2010
IEEE
167views Data Mining» more  ICDM 2010»
14 years 7 months ago
Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method
On large datasets, the popular training approach has been stochastic gradient descent (SGD). This paper proposes a modification of SGD, called averaged SGD with feedback (ASF), tha...
Xu Sun, Hisashi Kashima, Takuya Matsuzaki, Naonori...
ICCV
2001
IEEE
15 years 11 months ago
Gradient Vector Flow Fast Geodesic Active Contours
This paper proposes a new front propagation flow for boundary extraction. The proposed framework is inspired by the geodesic active contour model and leads to a paradigm that is r...
Nikos Paragios, Olivier Mellina-Gottardo, Visvanat...
ICPR
2000
IEEE
15 years 10 months ago
Fast Pattern Recognition Using Gradient-Descent Search in an Image Pyramid
A new technique for fast pattern recognition using normalized grey-scale correlation (NGC) is described. While NGC has traditionally been slow due to computational intensity is
W. James MacLean, John K. Tsotsos
90
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DICTA
2003
14 years 11 months ago
Fast Circle Detection Using Gradient Pair Vectors
The Circle Hough Transform (CHT) has become a common method for circle detection in numerous image processing applications. Because of its drawbacks, various modifications to the b...
Ali Ajdari Rad, Karim Faez, Navid Qaragozlou