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» Relational Parametricity for Computational Effects
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IEEEMM
2007
146views more  IEEEMM 2007»
15 years 4 months ago
Learning Microarray Gene Expression Data by Hybrid Discriminant Analysis
— Microarray technology offers a high throughput means to study expression networks and gene regulatory networks in cells. The intrinsic nature of high dimensionality and small s...
Yijuan Lu, Qi Tian, Maribel Sanchez, Jennifer L. N...
GLOBECOM
2008
IEEE
15 years 11 months ago
Performance Metric Sensitivity Computation for Optimization and Trade-Off Analysis in Wireless Networks
Abstract—We develop and evaluate a new method for estimating and optimizing various performance metrics for multihop wireless networks, including MANETs. We introduce an approxim...
John S. Baras, Vahid Tabatabaee, George Papageorgi...
CLOR
2006
15 years 8 months ago
Object Recognition by Combining Appearance and Geometry
We present a new class of statistical models for part-based object recognition. These models are explicitly parametrized according to the degree of spatial structure that they can ...
David J. Crandall, Pedro F. Felzenszwalb, Daniel P...
BMCBI
2007
127views more  BMCBI 2007»
15 years 4 months ago
Predicting the phenotypic effects of non-synonymous single nucleotide polymorphisms based on support vector machines
Background: Human genetic variations primarily result from single nucleotide polymorphisms (SNPs) that occur approximately every 1000 bases in the overall human population. The no...
Jian Tian, Ningfeng Wu, Xuexia Guo, Jun Guo, Juhua...
ISMIR
2004
Springer
95views Music» more  ISMIR 2004»
15 years 9 months ago
A multi-parametric and redundancy-filtering approach to pattern identification
This paper presents the principles of a new approach aimed at automatically discovering motivic patterns in monodies. It is shown that, for the results to agree with the listenerâ...
Olivier Lartillot