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» Rough Set Approach to CBR
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ICIP
2005
IEEE
14 years 2 months ago
Atlas-based segmentation of medical images locally constrained by level sets
Atlas-based segmentation has become a standard paradigm for exploiting prior knowledge in medical image segmentation. In this paper, we propose a method to exploit both the robust...
Valerie Duay, Nawal Houhou, Jean-Philippe Thiran
ICPR
2002
IEEE
14 years 10 months ago
A Computationally Efficient Approach to Indoor/Outdoor Scene Classification
Prior research in scene classification has shown that high-level information can be inferred from low-level image features. Classification rates of roughly 90% have been reported ...
Navid Serrano, Andreas E. Savakis, Jiebo Luo
HIS
2004
13 years 10 months ago
Hybrid Learning Scheme for Data Mining Applications
Classification of large datasets is a challenging task in Data Mining. In the current work, we propose a novel method that compresses the data and classifies the test data directl...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
RSFDGRC
2005
Springer
111views Data Mining» more  RSFDGRC 2005»
14 years 2 months ago
Feature Selection with Adjustable Criteria
Abstract. We present a study on a rough set based approach for feature selection. Instead of using significance or support, Parameterized Average Support Heuristic (PASH) consider...
Jingtao Yao, Ming Zhang
ATAL
2008
Springer
13 years 10 months ago
Shared focus of attention for heterogeneous agents
A network of cooperating agents must be able to reach rough consensus on a set of topics for cooperation. With highly heterogeneous agents, however, incommensurable measures and i...
Jacob Beal