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ICASSP
2008
IEEE
14 years 1 months ago
Robust correlation analysis with an application to functional MRI
Correlation is often used to measure the similarity between signals and is an important tool in signal and image processing. In some applications it is common that signals are cor...
Joakim Rydell, Magnus Borga, Hans Knutsson
SODA
2008
ACM
110views Algorithms» more  SODA 2008»
13 years 9 months ago
Why simple hash functions work: exploiting the entropy in a data stream
Hashing is fundamental to many algorithms and data structures widely used in practice. For theoretical analysis of hashing, there have been two main approaches. First, one can ass...
Michael Mitzenmacher, Salil P. Vadhan
HICSS
2009
IEEE
126views Biometrics» more  HICSS 2009»
13 years 11 months ago
Specifying and Analyzing Workflows for Automated Identification and Data Capture
Humans use computers to carry out tasks that neither is able to do easily alone: humans provide eyes, hands, and judgment while computers provide computation, networking, and stor...
Elsa L. Gunter, Ayesha Yasmeen, Carl A. Gunter, An...
GECCO
2003
Springer
127views Optimization» more  GECCO 2003»
14 years 21 days ago
Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data
Abstract. Our ability to simultaneously measure the expression levels of thousands of genes in biological samples is providing important new opportunities for improving the diagnos...
David M. Reif, Bill C. White, Nancy Olsen, Thomas ...
CVPR
2007
IEEE
14 years 9 months ago
Shape Representation and Registration using Vector Distance Functions
This paper introduces a new method for shape registration by matching vector distance functions. The vector distance function representation is more flexible than the conventional...
Hossam E. Abd El Munim, Aly A. Farag