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ICPR
2006
IEEE
16 years 6 months ago
Fast Linear Feature Detection Using Multiple Directional Non-Maximum Suppression
Linear feature detection is a very important issue in the areas of image analysis, computer vision, and pattern recognition. It has found applications in many diverse areas such a...
Changming Sun, Pascal Vallotton
SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
16 years 2 months ago
GAD: General Activity Detection for Fast Clustering on Large Data.
In this paper, we propose GAD (General Activity Detection) for fast clustering on large scale data. Within this framework we design a set of algorithms for different scenarios: (...
Jiawei Han, Liangliang Cao, Sangkyum Kim, Xin Jin,...
CVPR
2000
IEEE
16 years 7 months ago
Fast Multiscale Image Segmentation
We introduce a fast, multiscale algorithm for image segmentation. Our algorithm uses modern numeric techniques to nd an approximate solution to normalized cut measures in time tha...
Eitan Sharon, Achi Brandt, Ronen Basri
SIGMOD
2005
ACM
162views Database» more  SIGMOD 2005»
16 years 5 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...
ICIP
2003
IEEE
15 years 10 months ago
Fast hierarchical backprojection for helical cone-beam tomography
Existing algorithms for exact helical cone beam (HCB) tomographic reconstruction are computationally infeasible for clinical applications. Their computational cost is dominated by...
Yoram Bresler, Jeffrey Brokish