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MICCAI
2009
Springer
16 years 1 months ago
Conditional Variability of Statistical Shape Models Based on Surrogate Variables
We propose to increment a statistical shape model with surrogate variables such as anatomical measurements and patient-related information, allowing conditioning the shape distribu...
Rémi Blanc, Mauricio Reyes, Christof Seiler...
170
Voted
IPPS
2007
IEEE
16 years 1 months ago
Scheduling in the Z-Polyhedral Model
The polyhedral model is extensively used for analyses and transformations of regular loop programs, one of the most important being automatic parallelization. The model, however, ...
Gautam Gupta, DaeGon Kim, Sanjay V. Rajopadhye
ISIPTA
2005
IEEE
125views Mathematics» more  ISIPTA 2005»
16 years 11 days ago
Imprecise probability models for inference in exponential families
When considering sampling models described by a distribution from an exponential family, it is possible to create two types of imprecise probability models. One is based on the co...
Erik Quaeghebeur, Gert de Cooman
ITA
2006
15 years 6 months ago
Probabilistic models for pattern statistics
In this work we study some probabilistic models for the random generation of words over a given alphabet used in the literature in connection with pattern statistics. Our goal is t...
Massimiliano Goldwurm, Roberto Radicioni
ASPDAC
2011
ACM
217views Hardware» more  ASPDAC 2011»
14 years 10 months ago
Realization and performance comparison of sequential and weak memory consistency models in network-on-chip based multi-core syst
This paper studies realization and performance comparison of the sequential and weak consistency models in the network-on-chip (NoC) based distributed shared memory (DSM) multi-cor...
Abdul Naeem, Xiaowen Chen, Zhonghai Lu, Axel Jants...