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MICCAI
2005
Springer
16 years 5 months ago
Tissue Classification of Noisy MR Brain Images Using Constrained GMM
We present an automated algorithm for tissue segmentation of noisy, low contrast magnetic resonance (MR) images of the brain. We use a mixture model composed of a large number of G...
Amit Ruf, Hayit Greenspan, Jacob Goldberger
ICCAD
2006
IEEE
125views Hardware» more  ICCAD 2006»
16 years 1 months ago
Leveraging protocol knowledge in slack matching
Stalls, due to mis-matches in communication rates, are a major performance obstacle in pipelined circuits. If the rate of data production is faster than the rate of consumption, t...
Girish Venkataramani, Seth Copen Goldstein
KDD
1998
ACM
145views Data Mining» more  KDD 1998»
15 years 8 months ago
Coincidence Detection: A Fast Method for Discovering Higher-Order Correlations in Multidimensional Data
Wepresent a novel, fast methodfor associationminingill high-dimensionaldatasets. OurCoincidence Detection method, which combines random sampling and Chernoff-Hoeffding bounds with...
Evan W. Steeg, Derek A. Robinson, Ed Willis
ICCAD
2003
IEEE
142views Hardware» more  ICCAD 2003»
16 years 1 months ago
SuPREME: Substrate and Power-delivery Reluctance-Enhanced Macromodel Evaluation
The recent demand for system-on-chip RF mixed-signal design and aggressive supply-voltage reduction require chip-level accurate analysis of both the substrate and power delivery s...
Tsung-Hao Chen, Clement Luk, Charlie Chung-Ping Ch...
134
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ICPR
2010
IEEE
15 years 7 months ago
Fast Training of Object Detection Using Stochastic Gradient Descent
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
Rob Wijnhoven, Peter H. N. De With