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ISBI
2004
IEEE
14 years 11 months ago
A Fast Fully 4D Incremental Gradient Reconstruction Algorithm for List Mode PET Data
We present a fully four-dimensional, globally convergent, incremental gradient algorithm to estimate the continuous-time tracer density from list mode positron emission tomography...
Quanzheng Li, Evren Asma, Richard M. Leahy
ICIP
2010
IEEE
13 years 8 months ago
Fast object detection using boosted co-occurrence histograms of oriented gradients
Co-occurrence histograms of oriented gradients (CoHOG) are powerful descriptors in object detection. In this paper, we propose to utilize a very large pool of CoHOG features with ...
Haoyu Ren, Cher-Keng Heng, Wei Zheng, Luhong Liang...
ICCS
2009
Springer
14 years 5 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»
13 years 8 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 23 days 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...