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TSP
2010
15 years 1 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
186
Voted
IISWC
2006
IEEE
16 years 20 days ago
Modeling Cache Sharing on Chip Multiprocessor Architectures
— As CMPs are emerging as the dominant architecture for a wide range of platforms (from embedded systems and game consoles, to PCs, and to servers) the need to manage on-chip res...
Pavlos Petoumenos, Georgios Keramidas, Håkan...
IUI
2004
ACM
16 years 1 days ago
What would they think?: a computational model of attitudes
A key to improving at any task is frequent feedback from people whose opinions we care about: our family, friends, mentors, and the experts. However, such input is not usually ava...
Hugo Liu, Pattie Maes
KDD
2004
ACM
147views Data Mining» more  KDD 2004»
15 years 12 months ago
Clustering time series from ARMA models with clipped data
Clustering time series is a problem that has applications in a wide variety of fields, and has recently attracted a large amount of research. In this paper we focus on clustering...
Anthony J. Bagnall, Gareth J. Janacek
BIOINFORMATICS
2010
127views more  BIOINFORMATICS 2010»
15 years 6 months ago
Analyzing taxonomic classification using extensible Markov models
Motivation: As next generation sequencing is rapidly adding new genomes, their correct placement in the taxonomy needs verification. However, the current methods for confirming cl...
Rao M. Kotamarti, Michael Hahsler, Douglas Raiford...