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KDD
2009
ACM
159views Data Mining» more  KDD 2009»
15 years 10 months ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...
IWCIA
2009
Springer
15 years 4 months ago
Sub-pixel Segmentation with the Image Foresting Transform
The Image Foresting Transform (IFT) is a framework for image partitioning, commonly used for interactive segmentation. Given an image where a subset of the image elements (seed-poi...
Filip Malmberg, Joakim Lindblad, Ingela Nyströ...
EDBT
2008
ACM
112views Database» more  EDBT 2008»
15 years 9 months ago
Ownership protection of shape datasets with geodesic distance preservation
Protection of one's intellectual property is a topic with important technological and legal facets. The significance of this issue is amplified nowadays due to the ease of da...
Michail Vlachos, Claudio Lucchese, Deepak Rajan, P...
ASIAMS
2007
IEEE
15 years 4 months ago
Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
Sankar K. Pal
ECCV
2004
Springer
15 years 11 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...