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» A generalization of Haussler's convolution kernel: mapping k...
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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
CSL
2006
Springer
13 years 7 months ago
Support vector machines for speaker and language recognition
Support vector machines (SVMs) have proven to be a powerful technique for pattern classification. SVMs map inputs into a high dimensional space and then separate classes with a hy...
William M. Campbell, Joseph P. Campbell, Douglas A...
VISUALIZATION
1996
IEEE
13 years 11 months ago
Fast Perspective Volume Rendering with Splatting by Utilizing a Ray-Driven Approach
Volume ray casting is based on sampling the data along sight rays. In this technique, reconstruction is achieved by a convolution, which collects the contribution of multiple voxe...
Klaus Mueller, Roni Yagel
ALMOB
2006
110views more  ALMOB 2006»
13 years 7 months ago
Computing distribution of scale independent motifs in biological sequences
The use of Chaos Game Representation (CGR) or its generalization, Universal Sequence Maps (USM), to describe the distribution of biological sequences has been found objectionable ...
Jonas S. Almeida, Susana Vinga
ACMMSP
2006
ACM
252views Hardware» more  ACMMSP 2006»
14 years 1 months ago
Deconstructing process isolation
Most operating systems enforce process isolation through hardware protection mechanisms such as memory segmentation, page mapping, and differentiated user and kernel instructions....
Mark Aiken, Manuel Fähndrich, Chris Hawblitze...