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» Hierarchical exploration of large multivariate data sets
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JCB
2008
94views more  JCB 2008»
13 years 8 months ago
Prioritize and Select SNPs for Association Studies with Multi-Stage Designs
Large-scale whole genome association studies are increasingly common, due in large part to recent advances in genotyping technology. With this change in paradigm for genetic studi...
Jing Li
ALT
2004
Springer
14 years 5 months ago
On Kernels, Margins, and Low-Dimensional Mappings
Kernel functions are typically viewed as providing an implicit mapping of points into a high-dimensional space, with the ability to gain much of the power of that space without inc...
Maria-Florina Balcan, Avrim Blum, Santosh Vempala
ICCV
2007
IEEE
14 years 10 months ago
Image Classification using Random Forests and Ferns
We explore the problem of classifying images by the object categories they contain in the case of a large number of object categories. To this end we combine three ingredients: (i...
Andrew Zisserman, Anna Bosch, Xavier Muñoz
ICDE
2007
IEEE
182views Database» more  ICDE 2007»
14 years 10 months ago
Discriminative Frequent Pattern Analysis for Effective Classification
The application of frequent patterns in classification appeared in sporadic studies and achieved initial success in the classification of relational data, text documents and graph...
Hong Cheng, Xifeng Yan, Jiawei Han, Chih-Wei Hsu
ICIP
2009
IEEE
14 years 3 months ago
A Novel Framework for Imaging Using Compressed Sensing
Recently, there has been growing interest in using compressed sensing to perform imaging. Most of these algorithms capture the image of a scene by taking projections of the imaged ...
Pradeep Sen and Soheil Darabi