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ICASSP
2008
IEEE
16 years 1 months ago
Controlling the false discovery rate in modeling brain functional connectivity
Graphical models of brain functional connectivity have matured from con rming a priori hypotheses to an exploratory tool for discovering unknown connectivity. However, exploratory...
Junning Li, Z. Jane Wang, Martin J. McKeown
ICRA
2002
IEEE
113views Robotics» more  ICRA 2002»
15 years 11 months ago
Modeling of Needle Insertion Forces for Robot-Assisted Percutaneous Therapy
Force information from needle insertions was measured and modeled for use in robot-assisted percutaneous therapies. Data was collected on bovine livers using the Johns Hopkins Uni...
Christina Simone, Allison M. Okamura
ACL
2007
15 years 8 months ago
Sparse Information Extraction: Unsupervised Language Models to the Rescue
Even in a massive corpus such as the Web, a substantial fraction of extractions appear infrequently. This paper shows how to assess the correctness of sparse extractions by utiliz...
Doug Downey, Stefan Schoenmackers, Oren Etzioni
BILDMED
2009
251views Algorithms» more  BILDMED 2009»
15 years 8 months ago
Probabilistic Tracking and Model-Based Segmentation of 3D Tubular Structures
Abstract. We introduce a new approach for tracking-based segmentation of 3D tubular structures. The approach is based on a novel combination of a 3D cylindrical intensity model and...
Stefan Wörz, William J. Godinez, Karl Rohr
TSP
2008
105views more  TSP 2008»
15 years 6 months ago
Semi-Supervised Linear Spectral Unmixing Using a Hierarchical Bayesian Model for Hyperspectral Imagery
This paper proposes a hierarchical Bayesian model that can be used for semi-supervised hyperspectral image unmixing. The model assumes that the pixel reflectances result from linea...
Nicolas Dobigeon, Jean-Yves Tourneret, Chein-I Cha...