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» Approximation Algorithms for Clustering Problems
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ICMLA
2009
15 years 4 months ago
Transformation Learning Via Kernel Alignment
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
Andrew Howard, Tony Jebara
VLDB
2011
ACM
276views Database» more  VLDB 2011»
15 years 1 months ago
Ranking queries on uncertain data
Uncertain data is inherent in a few important applications such as environmental surveillance and mobile object tracking. Top-k queries (also known as ranking queries) are often n...
Ming Hua, Jian Pei, Xuemin Lin
EDBT
2004
ACM
122views Database» more  EDBT 2004»
16 years 6 months ago
Sketch-Based Multi-query Processing over Data Streams
Abstract. Recent years have witnessed an increasing interest in designing algorithms for querying and analyzing streaming data (i.e., data that is seen only once in a fixed order) ...
Alin Dobra, Minos N. Garofalakis, Johannes Gehrke,...
ICALP
2004
Springer
15 years 12 months ago
The Black-Box Complexity of Nearest Neighbor Search
We define a natural notion of efficiency for approximate nearest-neighbor (ANN) search in general n-point metric spaces, namely the existence of a randomized algorithm which answ...
Robert Krauthgamer, James R. Lee
INFOCOM
2010
IEEE
15 years 4 months ago
Limitations and Possibilities of Path Trading between Autonomous Systems
Abstract—When forwarding packets in the Internet, Autonomous Systems (ASes) frequently choose the shortest path in their network to the next-hop AS in the BGP path, a strategy kn...
Yuval Shavitt, Yaron Singer