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» Scalable Feature Extraction from Noisy Documents
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ICIW
2008
IEEE
14 years 4 months ago
XML Semantic Filtering via Ontology Reasoning
In this paper, we present an extension of PHIL, a declarative language for filtering information from XML data. The proposed approach allows us to extract relevant data as well a...
Michele Baggi, Moreno Falaschi, Demis Ballis
ICMLA
2007
13 years 11 months ago
Scalable optimal linear representation for face and object recognition
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
Yiming Wu, Xiuwen Liu, Washington Mio
ICDAR
2011
IEEE
12 years 9 months ago
Non-rigid Registration and Restoration of Double-Sided Historical Manuscripts
This paper presents a fully automatic framework for the restoration of double-sided historical manuscripts which are impaired by ink bleed-through distortions. First, the recto si...
Jie Wang, Chew Lim Tan
VIS
2008
IEEE
134views Visualization» more  VIS 2008»
14 years 11 months ago
A Practical Approach to Morse-Smale Complex Computation: Scalability and Generality
The Morse-Smale (MS) complex has proven to be a useful tool in extracting and visualizing features from scalar-valued data. However, efficient computation of the MS complex for lar...
Attila Gyulassy, Peer-Timo Bremer, Bernd Hamann,...
AUSDM
2006
Springer
144views Data Mining» more  AUSDM 2006»
14 years 1 months ago
A Characterization of Wordnet Features in Boolean Models For Text Classification
Supervised text classification is the task of automatically assigning a category label to a previously unlabeled text document. We start with a collection of pre-labeled examples ...
Trevor N. Mansuy, Robert J. Hilderman