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» Generation of Attributes for Learning Algorithms
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SIGMOD
2011
ACM
198views Database» more  SIGMOD 2011»
13 years 1 days ago
U-MAP: a system for usage-based schema matching and mapping
This demo shows how usage information buried in query logs can play a central role in data integration and data exchange. More specifically, our system U-Map uses query logs to g...
Hazem Elmeleegy, Jaewoo Lee, El Kindi Rezig, Moura...
TIP
2008
153views more  TIP 2008»
13 years 9 months ago
Hierarchical Color Correction for Camera Cell Phone Images
In this paper, we propose a hierarchical color correction algorithm for enhancing the color of digital images obtained from low quality digital image capture devices such as cell ...
Hasib Siddiqui, Charles A. Bouman
HIS
2004
13 years 10 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
SGP
2003
13 years 10 months ago
3D Reconstruction Using Labeled Image Regions
In this paper we present a novel algorithm for reconstructing 3D scenes from a set of images. The user defines a set of polygonal regions with corresponding labels in each image ...
Remo Ziegler, Wojciech Matusik, Hanspeter Pfister,...
VLDB
2001
ACM
139views Database» more  VLDB 2001»
14 years 1 months ago
NetCube: A Scalable Tool for Fast Data Mining and Compression
We propose an novel method of computing and storing DataCubes. Our idea is to use Bayesian Networks, which can generate approximate counts for any query combination of attribute v...
Dimitris Margaritis, Christos Faloutsos, Sebastian...