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» Learning Shape from Defocus
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ICCV
2007
IEEE
15 years 4 months ago
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features
Multi-chamber heart segmentation is a prerequisite for global quantification of the cardiac function. The complexity of cardiac anatomy, poor contrast, noise or motion artifacts ...
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Mich...
70
Voted
ICML
2003
IEEE
15 years 10 months ago
Decision-tree Induction from Time-series Data Based on a Standard-example Split Test
This paper proposes a novel decision tree for a data set with time-series attributes. Our time-series tree has a value (i.e. a time sequence) of a time-series attribute in its int...
Yuu Yamada, Einoshin Suzuki, Hideto Yokoi, Katsuhi...
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
15 years 2 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
CVPR
2003
IEEE
15 years 11 months ago
Representation and Detection of Deformable Shapes
We describe some techniques that can be used to represent and detect deformable shapes in images. The main difficulty with deformable template models is the very large or infinite...
Pedro F. Felzenszwalb
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
15 years 3 months ago
Evolution of adult male oral tract shapes for close and open vowels
In this paper, we describe an experiment to evolve oral tract (mouth) shapes for a set of vowels for two adult males. Target vowels were recorded in an acoustically anechoic room ...
David M. Howard, Andy M. Tyrrell, Crispin H. V. Co...