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» Evaluating algorithms that learn from data streams
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CRV
2008
IEEE
182views Robotics» more  CRV 2008»
16 years 28 days ago
Deforestation: Extracting 3D Bare-Earth Surface from Airborne LiDAR Data
Bare-earth identification selects points from a LiDAR point cloud so that they can be interpolated to form a representation of the ground surface from which structures, vegetatio...
Wei-Lwun Lu, James J. Little, Alla Sheffer, Hongbo...
3DPVT
2004
IEEE
316views Visualization» more  3DPVT 2004»
15 years 10 months ago
A Statistical Method for Robust 3D Surface Reconstruction from Sparse Data
Abstract-General information about a class of objects, such as human faces or teeth, can help to solve the otherwise ill-posed problem of reconstructing a complete surface from spa...
Volker Blanz, Albert Mehl, Thomas Vetter, Hans-Pet...
CIKM
2009
Springer
15 years 11 months ago
Data extraction from the web using wild card queries
This paper presents an overview of our framework for searching and retrieving facts and relationships within natural language text sources. In this framework, an extraction task o...
Davood Rafiei, Haobin Li
IJAR
2007
130views more  IJAR 2007»
15 years 6 months ago
Bayesian network learning algorithms using structural restrictions
The use of several types of structural restrictions within algorithms for learning Bayesian networks is considered. These restrictions may codify expert knowledge in a given domai...
Luis M. de Campos, Javier Gomez Castellano
DIS
2009
Springer
16 years 1 months ago
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba