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» Input Modeling Using Quantile Statistical Methods
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ICCV
2005
IEEE
15 years 3 months ago
On the Spatial Statistics of Optical Flow
We develop a method for learning the spatial statistics of optical flow fields from a novel training database. Training flow fields are constructed using range images of natur...
Stefan Roth, Michael J. Black
BIB
2006
141views more  BIB 2006»
14 years 10 months ago
Statistical significance in biological sequence analysis
One of the major goals of computational sequence analysis is to find sequence similarities, which could serve as evidence of structural and functional conservation, as well as of ...
Alexander Yu. Mitrophanov, Mark Borodovsky
CBMS
2001
IEEE
15 years 1 months ago
Statistically Optimized Biopsy Strategy for the Diagnosis of Prostate Cancer
This paper presents a method for optimizing prostate needle biopsy, by creating a statistical atlas of the spatial distribution of prostate cancer from a large patient cohort. In ...
Dinggang Shen, Zhiqiang Lao, Edward Herskovits, Ga...
NIPS
1996
14 years 11 months ago
Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation
In pattern recognition, statistical modeling, or regression, the amount of data is a critical factor affecting the performance. If the amount of data and computational resources ar...
Patrice Simard, Yann LeCun, John S. Denker, Bernar...
GLVLSI
2006
IEEE
185views VLSI» more  GLVLSI 2006»
15 years 3 months ago
Application of fast SOCP based statistical sizing in the microprocessor design flow
In this paper we have applied statistical sizing in an industrial setting. Efficient implementation of the statistical sizing algorithm is achieved by utilizing a dedicated interi...
Murari Mani, Mahesh Sharma, Michael Orshansky