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» Using symbolic descriptions to explain similarity on CBR
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MVA
1990
162views Computer Vision» more  MVA 1990»
13 years 8 months ago
Map-Driven Image Interpretation by Associative Model Indexing
d at a high abstraction level, and consists in an expectation-driven search starting from symbolic object descriptions and using a version of a distributed blackboard system for re...
Gian Luca Foresti, Vittorio Murino, Carlo S. Regaz...
ICML
2002
IEEE
14 years 8 months ago
Syllables and other String Kernel Extensions
During the last years, the use of string kernels that compare documents has been shown to achieve good results on text classification problems. In this paper we introduce the appl...
Craig Saunders, Hauke Tschach, John Shawe-Taylor
WISE
2007
Springer
14 years 1 months ago
Goal-Based Visualization and Browsing for Semantic Web Services
Abstract. We present a goal-based approach for visualizing and browsing the search space of available Web services. A goal describes an obthat a client wants to solve by using Web ...
Michael Stollberg, Mick Kerrigan
FGCS
2011
123views more  FGCS 2011»
13 years 2 months ago
Mapping attribution metadata to the Open Provenance Model
A description of a data item’s provenance can be provided in different forms, and which form is best depends on the intended use of that description. Because of this, differen...
Simon Miles
ICDAR
2003
IEEE
14 years 22 days ago
Indexing and retrieval of words in old documents
This paper describes a system for efficient indexing and retrieval of words in collections of document images. The proposed method is based on two main principles: unsupervised pr...
Simone Marinai, Emanuele Marino, Giovanni Soda