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PKDD
2004
Springer
141views Data Mining» more  PKDD 2004»
15 years 8 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
ICPR
2006
IEEE
16 years 4 months ago
A Hierarchical Object Recognition System Based on Multi-scale Principal Curvature Regions
This paper proposes a new generic object recognition system based on multi-scale affineinvariant image regions. Image segments are obtained by a watershed transform of the princip...
Wei Zhang, Hongli Deng, Thomas G. Dietterich, Eric...
EMNLP
2008
15 years 4 months ago
Online Methods for Multi-Domain Learning and Adaptation
NLP tasks are often domain specific, yet systems can learn behaviors across multiple domains. We develop a new multi-domain online learning framework based on parameter combinatio...
Mark Dredze, Koby Crammer
MLDM
2007
Springer
15 years 9 months ago
Ensemble-based Feature Selection Criteria
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
Terry Windeatt, Matthew Prior, Niv Effron, Nathan ...
ER
1999
Springer
152views Database» more  ER 1999»
15 years 7 months ago
Semantically Accessing Documents Using Conceptual Model Descriptions
. When publishing documents on the web, the user needs to describe and classify her documents for the benefit of later retrieval and use. This paper presents an approach to semanti...
Terje Brasethvik, Jon Atle Gulla