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PERVASIVE
2006
Springer
13 years 9 months ago
Building Reliable Activity Models Using Hierarchical Shrinkage and Mined Ontology
Abstract. Activity inference based on object use has received considerable recent attention. Such inference requires statistical models that map activities to the objects used in p...
Emmanuel Munguia Tapia, Tanzeem Choudhury, Matthai...
PR
2006
164views more  PR 2006»
13 years 9 months ago
Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
Hong Chang, Dit-Yan Yeung
SIAMIS
2008
141views more  SIAMIS 2008»
13 years 9 months ago
A Nonlinear Inverse Scale Space Method for a Convex Multiplicative Noise Model
We are motivated by a recently developed nonlinear inverse scale space method for image denoising [5, 6], whereby noise can be removed with minimal degradation. The additive noise ...
Jianing Shi, Stanley Osher
IJAR
2007
96views more  IJAR 2007»
13 years 9 months ago
Complexity measurement of fundamental pseudo-independent models
Pseudo-independent (PI) models are a special class of probabilistic domain model (PDM) where a set of marginally independent domain variables shows collective dependency, a specia...
J. Lee, Y. Xiang
SIGARCH
2008
96views more  SIGARCH 2008»
13 years 9 months ago
Towards hybrid last level caches for chip-multiprocessors
As CMP platforms are widely adopted, more and more cores are integrated on to the die. To reduce the off-chip memory access, the last level cache is usually organized as a distribu...
Li Zhao, Ravi Iyer, Mike Upton, Don Newell
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