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» Scalable data dissemination using hybrid methods
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DKE
2006
83views more  DKE 2006»
13 years 8 months ago
Bulk insertion for R-trees by seeded clustering
We propose a scalable technique called Seeded Clustering that allows us to maintain R-tree indices by bulk insertion while keeping pace with high data arrival rates. Our approach ...
Taewon Lee, Bongki Moon, Sukho Lee
ICASSP
2010
IEEE
13 years 8 months ago
Acceleration of sequence kernel computation for real-time speaker identification
The sequence kernel has been shown to be a promising kernel function for learning from sequential data such as speech and DNA. However, it is not scalable to massive datasets due ...
Makoto Yamada, Masashi Sugiyama, Gordon Wichern, T...
ALMOB
2007
129views more  ALMOB 2007»
13 years 8 months ago
Consistency of the Neighbor-Net Algorithm
Background: Neighbor-Net is a novel method for phylogenetic analysis that is currently being widely used in areas such as virology, bacteriology, and plant evolution. Given an inp...
David Bryant, Vincent Moulton, Andreas Spillner
ICDE
2007
IEEE
176views Database» more  ICDE 2007»
14 years 2 months ago
Finding Important People in Large News Video Databases Using Multimodal and Clustering Analysis
The wide availability of large scale databases requires more efficient and scalable tools for data understanding and knowledge discovery. In this paper, we present a method to ...
Duy-Dinh Le, Shin'ichi Satoh, Michael E. Houle, Da...
SSIAI
2002
IEEE
14 years 1 months ago
Entropy Estimation for Segmentation of Multi-Spectral Chromosome Images
In the early 1990s, the state-of-the-art in commercial chromosome image acquisition was grayscale. Automated chromosome classification was based on the grayscale image and boundar...
Wade Schwartzkopf, Brian L. Evans, Alan C. Bovik