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» A fuzzy approach to automatic data locality optimization
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ICCV
2003
IEEE
15 years 11 months ago
Feature Selection for Unsupervised and Supervised Inference: the Emergence of Sparsity in a Weighted-based Approach
The problem of selecting a subset of relevant features in a potentially overwhelming quantity of data is classic and found in many branches of science. Examples in computer vision...
Lior Wolf, Amnon Shashua
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...
AAAI
1997
14 years 11 months ago
Query Optimization Using Local Completeness
We consider the problem of query plan optimization in information brokers. Information brokers are programs that facilitate access to collections of information sources by hiding ...
Oliver M. Duschka
ROBOCUP
2004
Springer
85views Robotics» more  ROBOCUP 2004»
15 years 3 months ago
Optimizing Precision of Self-Localization in the Simulated Robotics Soccer
We show that all published visual data processing methods for the simulated robotic soccer so far were not utilizing all available information, because they were mainly based on he...
Vadim Kyrylov, David Brokenshire, Eddie Hou
AAAI
2012
13 years 1 days ago
Multi-Label Learning by Exploiting Label Correlations Locally
It is well known that exploiting label correlations is important for multi-label learning. Existing approaches typically exploit label correlations globally, by assuming that the ...
Sheng-Jun Huang, Zhi-Hua Zhou