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ICML
2007
IEEE
16 years 7 months ago
Hierarchical Gaussian process latent variable models
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
Neil D. Lawrence, Andrew J. Moore
ICCV
2007
IEEE
16 years 8 months ago
Population Shape Regression From Random Design Data
Regression analysis is a powerful tool for the study of changes in a dependent variable as a function of an independent regressor variable, and in particular it is applicable to t...
Bradley C. Davis, P. Thomas Fletcher, Elizabeth Bu...
LCTRTS
2010
Springer
16 years 1 months ago
Operation and data mapping for CGRAs with multi-bank memory
Coarse Grain Reconfigurable Architectures (CGRAs) promise high performance at high power efficiency. They fulfil this promise by keeping the hardware extremely simple, and movi...
Yongjoo Kim, Jongeun Lee, Aviral Shrivastava, Yunh...
ICDM
2008
IEEE
164views Data Mining» more  ICDM 2008»
16 years 1 months ago
Classifying High-Dimensional Text and Web Data Using Very Short Patterns
In this paper, we propose the "Democratic Classifier", a simple, democracy-inspired patternbased classification algorithm that uses very short patterns for classificatio...
Hassan H. Malik, John R. Kender
SCOPES
2004
Springer
16 years 22 hour ago
Combined Data Partitioning and Loop Nest Splitting for Energy Consumption Minimization
For mobile embedded systems, the energy consumption is a limiting factor because of today’s battery capacities. Besides the processor, memory accesses consume a high amount of en...
Heiko Falk, Manish Verma