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SOSP
2005
ACM
15 years 6 months ago
Labels and event processes in the Asbestos operating system
ormation flow. A new event process abstraction defines lightweight, isolated contexts within a single process, allowing one process to act on behalf of multiple users while preve...
Petros Efstathopoulos, Maxwell N. Krohn, Steve Van...
NIPS
2003
14 years 11 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
ICML
2007
IEEE
15 years 10 months ago
Discriminative Gaussian process latent variable model for classification
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
Raquel Urtasun, Trevor Darrell
IGARSS
2009
14 years 7 months ago
Parallel Implementation of Endmember Extraction Algorithms using NVidia Graphical Processing Units
Spectral mixture analysis is an important task for remotely sensed hyperspectral data interpretation. In spectral unmixing, both the determination of spectrally pure signatures (e...
Antonio Plaza, Javier Plaza, Sergio Sánchez
DATE
2009
IEEE
131views Hardware» more  DATE 2009»
15 years 4 months ago
Communication minimization for in-network processing in body sensor networks: A buffer assignment technique
—Body sensor networks are emerging as a promising platform for healthcare monitoring. These systems are composed of battery-operated embedded devices which process physiological ...
Hassan Ghasemzadeh, Nisha Jain, Marco Sgroi, Roozb...