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PKDD
1999
Springer
130views Data Mining» more  PKDD 1999»
15 years 6 months ago
OPTICS-OF: Identifying Local Outliers
: For many KDD applications finding the outliers, i.e. the rare events, is more interesting and useful than finding the common cases, e.g. detecting criminal activities in E-commer...
Markus M. Breunig, Hans-Peter Kriegel, Raymond T. ...
ICVGIP
2008
15 years 3 months ago
Implementation of the "Local Rank Differences" Image Feature Using SIMD Instructions of CPU
Usage of statistical classifiers, namely AdaBoost and its modifications, in object detection and pattern recognition is a contemporary and popular trend. The computatiponal perfor...
Adam Herout, Pavel Zemcík, Roman Jurá...
137
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GRID
2007
Springer
15 years 2 months ago
A Local Facility Location Algorithm for Large-scale Distributed Systems
In the facility location problem (FLP) we are given a set of facilities and a set of clients, each of which is to be served by one facility. The goal is to decide which subset of f...
Denis Krivitski, Assaf Schuster, Ran Wolff
SAMOS
2010
Springer
15 years 6 days ago
Power aware heterogeneous MPSoC with dynamic task scheduling and increased data locality for multiple applications
A new heterogeneous multiprocessor system with dynamic memory and power management for improved performance and power consumption is presented. Increased data locality is automatic...
Oliver Arnold, Gerhard Fettweis
CORR
2011
Springer
186views Education» more  CORR 2011»
14 years 9 months ago
Similarity Join Size Estimation using Locality Sensitive Hashing
Similarity joins are important operations with a broad range of applications. In this paper, we study the problem of vector similarity join size estimation (VSJ). It is a generali...
Hongrae Lee, Raymond T. Ng, Kyuseok Shim