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» A Large Dataset of Object Scans
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ICDM
2009
IEEE
156views Data Mining» more  ICDM 2009»
13 years 6 months ago
Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye Imaging
We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal ...
MMM
2005
Springer
185views Multimedia» more  MMM 2005»
14 years 2 months ago
Database Support for Haptic Exploration in Very Large Virtual Environments
The efficient management of complex objects has become an enabling technology for modern multimedia information systems as well as for many novel database applications. Unfortunat...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
CGF
2010
169views more  CGF 2010»
13 years 8 months ago
Image-Based Edge Bundles: Simplified Visualization of Large Graphs
We present a new approach aimed at understanding the structure of connections in edge-bundling layouts. We combine the advantages of edge bundles with a bundle-centric simplified ...
Alexandru Telea, Ozan Ersoy
CVPR
2008
IEEE
14 years 10 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
VLDB
2004
ACM
98views Database» more  VLDB 2004»
14 years 2 months ago
Top-k Query Evaluation with Probabilistic Guarantees
Top-k queries based on ranking elements of multidimensional datasets are a fundamental building block for many kinds of information discovery. The best known general-purpose algor...
Martin Theobald, Gerhard Weikum, Ralf Schenkel