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PAMI
2012
11 years 10 months ago
Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers
Abstract—We propose a robust fitting framework, called Adaptive Kernel-Scale Weighted Hypotheses (AKSWH), to segment multiplestructure data even in the presence of a large number...
Hanzi Wang, Tat-Jun Chin, David Suter
IPPS
2008
IEEE
14 years 1 months ago
Modeling and predicting application performance on parallel computers using HPC challenge benchmarks
A method is presented for modeling application performance on parallel computers in terms of the performance of microkernels from the HPC Challenge benchmarks. Specifically, the a...
Wayne Pfeiffer, Nicholas J. Wright
HPCC
2005
Springer
14 years 1 months ago
Performance Analysis of Shared-Memory Parallel Applications Using Performance Properties
Tuning parallel code can be a time-consuming and difficult task. We present our approach to automate the performance analysis of OpenMP applications that is based on the notion of ...
Karl Fürlinger, Michael Gerndt
DASFAA
2006
IEEE
136views Database» more  DASFAA 2006»
14 years 1 months ago
Mining Outliers in Spatial Networks
Outlier analysis is an important task in data mining and has attracted much attention in both research and applications. Previous work on outlier detection involves different type...
Wen Jin, Yuelong Jiang, Weining Qian, Anthony K. H...
ICDM
2010
IEEE
185views Data Mining» more  ICDM 2010»
13 years 5 months ago
Detecting Non-compliant Consumers in Spatio-Temporal Health Data: A Case Study from Medicare Australia
This paper describes our experience with applying data mining techniques to the problem of fraud detection in spatio-temporal health data in Medicare Australia. A modular framework...
Kee Siong Ng, Yin Shan, D. Wayne Murray, Alison Su...