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» Learning from Highly Structured Data by Decomposition
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ISMIS
2003
Springer
15 years 9 months ago
Development of Generic Search Method Based on Transformation Invariance
Abstract. The needs of efficient and flexible information retrieval on multistructural data stored in database and network are significantly growing. Especially, its flexibility pl...
Fuminori Adachi, Takashi Washio, Hiroshi Motoda, A...
VISUALIZATION
2002
IEEE
15 years 9 months ago
XFastMesh: Fast View-dependent Meshing from External Memory
We present a novel disk-based multiresolution triangle mesh data structure that supports paging and view-dependent rendering of very large meshes at interactive frame rates from e...
Christopher DeCoro, Renato Pajarola
ICRA
2005
IEEE
116views Robotics» more  ICRA 2005»
15 years 10 months ago
Using Hierarchical EM to Extract Planes from 3D Range Scans
— Recently, the acquisition of three-dimensional maps has become more and more popular. This is motivated by the fact that robots act in the three-dimensional world and several t...
Rudolph Triebel, Wolfram Burgard, Frank Dellaert
VLDB
2007
ACM
137views Database» more  VLDB 2007»
15 years 10 months ago
Detecting Attribute Dependencies from Query Feedback
Real-world datasets exhibit a complex dependency structure among the data attributes. Learning this structure is a key task in automatic statistics configuration for query optimi...
Peter J. Haas, Fabian Hueske, Volker Markl
KCAP
2005
ACM
15 years 10 months ago
AutoFeed: an unsupervised learning system for generating webfeeds
The AutoFeed system automatically extracts data from semistructured web sites. Previously, researchers have developed two types of supervised learning approaches for extracting we...
Bora Gazen, Steven Minton