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IDEAL
2000
Springer
15 years 1 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
CVIU
2004
125views more  CVIU 2004»
14 years 9 months ago
Automatic description of complex buildings from multiple images
We present an approach for detecting and describing complex buildings with flat or complex rooftops by using multiple, overlapping images of the scene. We find 3-D rooftop boundar...
Zu Whan Kim, Ramakant Nevatia
CIKM
2010
Springer
14 years 8 months ago
Combining link and content for collective active learning
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
Lixin Shi, Yuhang Zhao, Jie Tang
INFOCOM
2000
IEEE
15 years 2 months ago
Consideration of Receiver Interest for IP Multicast Delivery
—Large-scale applications are characterized by a large number of dynamic and often interactive group members. The nature of these applications is such that participants are not i...
Brian Neil Levine, Jon Crowcroft, Christophe Diot,...
EDBT
2009
ACM
277views Database» more  EDBT 2009»
15 years 2 months ago
G-hash: towards fast kernel-based similarity search in large graph databases
Structured data including sets, sequences, trees and graphs, pose significant challenges to fundamental aspects of data management such as efficient storage, indexing, and simila...
Xiaohong Wang, Aaron M. Smalter, Jun Huan, Gerald ...