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ISBI
2011
IEEE
14 years 1 months ago
Differential information content in staggered multiple shell hardi measured by the tensor distribution function
Diffusion tensor imaging has accelerated the study of brain connectivity, but single-tensor diffusion models are too simplistic to model fiber crossing and mixing. Hybrid diffusio...
Liang Zhan, Alex D. Leow, Iman Aganj, Christophe L...
CORR
2011
Springer
174views Education» more  CORR 2011»
14 years 1 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
ICCV
2005
IEEE
15 years 11 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
HPCA
1999
IEEE
15 years 1 months ago
Using Lamport Clocks to Reason about Relaxed Memory Models
Cache coherence protocols of current shared-memory multiprocessors are difficult to verify. Our previous work proposed an extension of Lamport's logical clocks for showing th...
Anne Condon, Mark D. Hill, Manoj Plakal, Daniel J....
DIALM
2010
ACM
194views Algorithms» more  DIALM 2010»
14 years 7 months ago
Prioritized gossip in vehicular networks
We present a method for using real world mobility traces to identify tractable theoretical models for the study of distributed algorithms in mobile networks. We validate the metho...
Alejandro Cornejo, Calvin C. Newport