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SIGMOD
2005
ACM
162views Database» more  SIGMOD 2005»
14 years 7 months ago
Fast and Approximate Stream Mining of Quantiles and Frequencies Using Graphics Processors
We present algorithms for fast quantile and frequency estimation in large data streams using graphics processor units (GPUs). We exploit the high computational power and memory ba...
Naga K. Govindaraju, Nikunj Raghuvanshi, Dinesh Ma...
ISCAS
2006
IEEE
103views Hardware» more  ISCAS 2006»
14 years 1 months ago
A low-power geometric mapping co-processor for high-speed graphics application
Abstract— In this article we present a novel design of a lowpower geometric mapping co-processor that can be used for high-performance graphics system. The processor can carry ou...
S. Leeke, L. Maharatna
ISBI
2009
IEEE
14 years 2 months ago
Accelerating Regularized Iterative CT Reconstruction on Commodity Graphics Hardware (GPU)
Iterative reconstruction algorithms augmented with regularization can produce high-quality reconstructions from few views and even in the presence of significant noise. In this pa...
Wei Xu, Klaus Mueller
JEI
2006
162views more  JEI 2006»
13 years 7 months ago
Markovian segmentation and parameter estimation on graphics hardware
In this paper, we show how Markovian strategies used to solve well-known segmentation problems such as motion estimation, motion detection, motion segmentation, stereovision, and c...
Pierre-Marc Jodoin, Max Mignotte
ICIAP
2005
ACM
14 years 26 days ago
Markovian Energy-Based Computer Vision Algorithms on Graphics Hardware
This paper shows how Markovian segmentation algorithms used to solve well known computer vision problems such as motion estimation, motion detection and stereovision can be signiï¬...
Pierre-Marc Jodoin, Max Mignotte, Jean-Franç...