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» The Stardinates - Visualizing Highly Structured Data
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UAI
2000
13 years 9 months ago
The Anchors Hierarchy: Using the Triangle Inequality to Survive High Dimensional Data
This paper is about the use of metric data structures in high-dimensionalor non-Euclidean space to permit cached sufficientstatisticsaccelerationsof learning algorithms. It has re...
Andrew W. Moore
SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
12 years 11 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham
INFOCOM
2010
IEEE
13 years 6 months ago
High-Speed Per-Flow Traffic Measurement with Probabilistic Multiplicity Counting
On today's high-speed backbone network links, measuring per-flow traffic information has become very challenging. Maintaining exact per-flow packet counters on OC-192 or OC-76...
Peter Lieven, Björn Scheuermann
VLDB
2000
ACM
114views Database» more  VLDB 2000»
13 years 12 months ago
The A-tree: An Index Structure for High-Dimensional Spaces Using Relative Approximation
We propose a novel index structure, A-tree (Approximation tree), for similarity search of high-dimensional data. The basic idea of the
Yasushi Sakurai, Masatoshi Yoshikawa, Shunsuke Uem...
TCS
2011
13 years 3 months ago
Highly concurrent multi-word synchronization
d Abstract) Hagit Attiya and Eshcar Hillel Department of Computer Science, Technion The design of concurrent data structures is greatly facilitated by the availability of synchroni...
Hagit Attiya, Eshcar Hillel