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ICML
2009
IEEE
16 years 8 months ago
Structure learning with independent non-identically distributed data
There are well known algorithms for learning the structure of directed and undirected graphical models from data, but nearly all assume that the data consists of a single i.i.d. s...
Robert E. Tillman
ISBI
2006
IEEE
16 years 8 months ago
Mixture principal component analysis for distribution volume parametric imaging in brain PET studies
In this paper, we present a mixture Principal Component Analysis (mPCA)-based approach for voxel level quantification of dynamic positron emission tomography (PET) data in brain s...
Peng Qiu, Z. Jane Wang, K. J. Ray Liu
ISBI
2008
IEEE
16 years 8 months ago
On approximation of orientation distributions by means of spherical ridgelets
Visualization and analysis of the micro-architecture of brain parenchyma by means of magnetic resonance imaging is nowadays believed to be one of the most powerful tools used for ...
Oleg V. Michailovich, Yogesh Rathi
WWW
2004
ACM
16 years 7 months ago
KnowledgeTree: a distributed architecture for adaptive e-learning
This paper presents KnowledgeTree, an architecture for adaptive E-Learning based on distributed reusable intelligent learning activities. The goal of KnowledgeTree is to bridge th...
Peter Brusilovsky
AINA
2009
IEEE
16 years 2 months ago
A Topology Control Protocol for 2D Poisson Distributed Wireless Sensor Networks
—Topology control in a wireless sensor network is useful for ensuring that the network remains connected in the presence of nodes that exhaust their energy or become altogether d...
Waltenegus Dargie, Alexander Schill, Rami Mochaour...