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» Large Scale Learning of Active Shape Models
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2005
ACM
15 years 3 months ago
Intelligent Feature Extraction and Tracking for Visualizing Large-Scale 4D Flow Simulations
Terascale simulations produce data that is vast in spatial, temporal, and variable domains, creating a formidable challenge for subsequent analysis. Feature extraction as a data r...
Fan-Yin Tzeng, Kwan-Liu Ma
ISBI
2004
IEEE
15 years 10 months ago
Grid-Enabled Automatic Construction of A Two-Chamber Cardiac PDM from a Large Database of Dynamic 3D Shapes
Point Distribution Modelling (PDM) is an efficient generative technique that can be used to incorporate statistical shape priors into image analysis methods like Active Shape Mode...
Alejandro F. Frangi, Loic Boisrobert, Marcos Lauce...
CVPR
2001
IEEE
15 years 11 months ago
Light Field Rendering for Large-Scale Scenes
In this paper, we present an efficient method to synthesize large-scale scenes, such as broad city landscapes. To date, model based approaches have mainly been adopted for this pu...
Hiroshi Kawasaki, Katsushi Ikeuchi, Masao Sakauchi
ICML
2009
IEEE
15 years 10 months ago
Prototype vector machine for large scale semi-supervised learning
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
Kai Zhang, James T. Kwok, Bahram Parvin
JCNS
2002
74views more  JCNS 2002»
14 years 9 months ago
States of High Conductance in a Large-Scale Model of the Visual Cortex
This paper reports on the consequences of large, activity dependent, synaptic conductances for neurons in a large-scale neuronal network model of the input layer 4C of the Macaque ...
Michael Shelley, David McLaughlin, Robert Shapley,...