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» Surrogate data: A novel approach to object detection
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IPPS
2000
IEEE
15 years 6 months ago
ACDS: Adapting Computational Data Streams for High Performance
Data-intensive, interactive applications are an important class of metacomputing (Grid) applications. They are characterized by large, time-varying data flows between data provid...
Carsten Isert, Karsten Schwan
WCRE
2005
IEEE
15 years 7 months ago
Diagnosing Design Problems in Object Oriented Systems
Software decay is a phenomenon that plagues aging software systems. While in recent years, there has been significant progress in the area of automatic detection of “code smells...
Adrian Trifu, Radu Marinescu
PKDD
2004
Springer
141views Data Mining» more  PKDD 2004»
15 years 7 months ago
Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach
In this paper we propose a novel spatial associative classifier method based on a multi-relational approach that takes spatial relations into account. Classification is driven by s...
Michelangelo Ceci, Annalisa Appice, Donato Malerba
CVPR
2008
IEEE
16 years 4 months ago
Recognition by association via learning per-exemplar distances
We pose the recognition problem as data association. In this setting, a novel object is explained solely in terms of a small set of exemplar objects to which it is visually simila...
Tomasz Malisiewicz, Alexei A. Efros
IPMI
2009
Springer
16 years 2 months ago
Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images
Recently, marginal space learning (MSL) was proposed as a generic approach for automatic detection of 3D anatomical structures in many medical imaging modalities [1]. To accurately...
Yefeng Zheng, Bogdan Georgescu, Dorin Comaniciu