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ICASSP
2010
IEEE
13 years 3 days ago
Modified hierarchical clustering for sparse component analysis
The under-determined blind source separation (BSS) problem is usually solved using the sparse component analysis (SCA) technique. In SCA, the BSS is usually solved in two steps, w...
Nasser Mourad, James P. Reilly
DAC
2011
ACM
12 years 5 months ago
Extracting behavior and dynamically generated hierarchy from SystemC models
SystemC is a popular modeling language which can be used to specify systems at bstraction level. Currently, SystemC tools can not cope with SystemC models for which the module hie...
Harry Broeders, René van Leuken
IGARSS
2009
13 years 2 months ago
Hierarchical Segmentation of Polarimetric SAR Images using Heterogeneous Clutter Models
In this paper, heterogeneous clutter models are introduced to describe Polarimetric Synthetic Aperture Radar (PolSAR) data. Based on the Spherically Invariant Random Vectors (SIRV...
Lionel Bombrun, Jean-Marie Beaulieu, Gabriel Vasil...
CLEF
2009
Springer
13 years 3 months ago
ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification
In this paper, we describe an approach for the automatic medical image annotation task of the 2009 CLEF cross-language image retrieval campaign (ImageCLEF). This work is focused o...
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, ...
NLPRS
2001
Springer
13 years 9 months ago
Hierarchical Concept Description and Learning for Information Extraction
This paper addresses the problem of extracting information from textual documents, either normal documents or web pages. A new approach for extracting complicate information from ...
Luo Xiao, Dieter Wissmann, Michael Brown, Stefan J...