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ISBI
2004
IEEE
16 years 4 months ago
A Closed-Form Method for Improving Inter-Subject Coherence in Diffusion Tensor Magnetic Resonance Imaging
A simple method is presented to reduce within-group inter-subject scatter in diffusion tensor magnetic resonance imaging (DT-MRI). By "borrowing strength" across co-regi...
Nicholas Lange, Derek Jones, Carlo Pierpaoli
PERCOM
2006
ACM
16 years 3 months ago
Situation Determination with Reusable Situation Specifications
Automatically determining the situation of an ad-hoc group of people and devices within a smart environment is a significant challenge in pervasive computing systems. Current appr...
Graham Thomson, Sotirios Terzis, Paddy Nixon
ISBI
2008
IEEE
15 years 10 months ago
Support vector driven Markov random fields towards DTI segmentation of the human skeletal muscle
In this paper we propose a classification-based method towards the segmentation of diffusion tensor images. We use Support Vector Machines to classify diffusion tensors and we ex...
Radhouène Neji, Gilles Fleury, Jean Francoi...
IJCNN
2006
IEEE
15 years 10 months ago
Global Reinforcement Learning in Neural Networks with Stochastic Synapses
— We have found a more general formulation of the REINFORCE learning principle which had been proposed by R. J. Williams for the case of artificial neural networks with stochast...
Xiaolong Ma, Konstantin Likharev
ICDM
2005
IEEE
187views Data Mining» more  ICDM 2005»
15 years 9 months ago
Parallel Algorithms for Distance-Based and Density-Based Outliers
An outlier is an observation that deviates so much from other observations as to arouse suspicion that it was generated by a different mechanism. Outlier detection has many applic...
Elio Lozano, Edgar Acuña