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GFKL
2007
Springer
148views Data Mining» more  GFKL 2007»
15 years 9 months ago
Mixture Model Based Group Inference in Fused Genotype and Phenotype Data
The analysis of genetic diseases has classically been directed towards establishing direct links between cause, a genetic variation, and effect, the observable deviation of phenot...
Benjamin Georgi, M. Anne Spence, Pamela Flodman, A...
135
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ICVGIP
2004
15 years 4 months ago
Modeling Signs Using Functional Data Analysis
1 We present a functional data analysis (FDA) based method to statistically model continuous signs of the American Sign Language (ASL) for use in the recognition of signs in contin...
Sunita Nayak, Sudeep Sarkar, Kuntal Sengupta
SDM
2003
SIAM
110views Data Mining» more  SDM 2003»
15 years 4 months ago
Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data
We study the interaction between global and local techniques in data mining. Specifically, we study the collections of frequent sets in clusters produced by a probabilistic clust...
Jaakko Hollmén, Jouni K. Seppänen, Hei...
141
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PPL
2008
96views more  PPL 2008»
15 years 3 months ago
A Hybrid Shared Memory Execution Model for a Data Parallel Language with I/O
Execution of programs with data parallel language constructs is either based on the fork/join or on the SPMD model. Whereas the former executes a program sequentially and confines...
Clemens Grelck, Steffen Kuthe, Sven-Bodo Scholz
ISBI
2004
IEEE
16 years 4 months ago
Subspace Models for Functional MRI Data Analysis
The models used for analyzing functional MRI (fMRI) data have profound impact on the detection of active brain areas. In this paper temporal and spatial linear subspace models for...
Ola Friman