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ASIAN
2004
Springer
107views Algorithms» more  ASIAN 2004»
14 years 26 days ago
A Framework for Compiler Driven Design Space Exploration for Embedded System Customization
Designing custom solutions has been central to meeting a range of stringent and specialized needs of embedded computing, along such dimensions as physical size, power consumption, ...
Krishna V. Palem, Lakshmi N. Chakrapani, Sudhakar ...
DAC
2001
ACM
14 years 8 months ago
Speeding Up Control-Dominated Applications through Microarchitectural Customizations in Embedded Processors
We present a methodology for microarchitectural customization of embedded processors by exploiting application information, thus attaining the twin benefits of processor standardi...
Peter Petrov, Alex Orailoglu
JMLR
2010
114views more  JMLR 2010»
13 years 2 months ago
On the relation between universality, characteristic kernels and RKHS embedding of measures
Universal kernels have been shown to play an important role in the achievability of the Bayes risk by many kernel-based algorithms that include binary classification, regression, ...
Bharath K. Sriperumbudur, Kenji Fukumizu, Gert R. ...
ACL
2010
13 years 5 months ago
Convolution Kernel over Packed Parse Forest
This paper proposes a convolution forest kernel to effectively explore rich structured features embedded in a packed parse forest. As opposed to the convolution tree kernel, the p...
Min Zhang, Hui Zhang, Haizhou Li
NIPS
2003
13 years 8 months ago
Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...
Neil D. Lawrence