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» Clustering event logs using iterative partitioning
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ECCV
2004
Springer
14 years 9 months ago
Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing
We present an approach to parallel variational optical flow computation on standard hardware by domain decomposition. Using an arbitrary partition of the image plane into rectangul...
Timo Kohlberger, Christoph Schnörr, Andr&eacu...
WISE
2002
Springer
14 years 23 days ago
A Unified Framework for Clustering Heterogeneous Web Objects
In this paper, we introduce a novel framework for clustering web data which is often heterogeneous in nature. As most existing methods often integrate heterogeneous data into a un...
Hua-Jun Zeng, Zheng Chen, Wei-Ying Ma
EMMCVPR
2003
Springer
14 years 1 months ago
Asymptotic Characterization of Log-Likelihood Maximization Based Algorithms and Applications
The asymptotic distribution of estimates that are based on a sub-optimal search for the maximum of the log-likelihood function is considered. In particular, estimation schemes that...
Doron Blatt, Alfred O. Hero
EUROPAR
2009
Springer
14 years 14 days ago
Two-Dimensional Matrix Partitioning for Parallel Computing on Heterogeneous Processors Based on Their Functional Performance Mod
Abstract. The functional performance model (FPM) of heterogeneous processors has proven to be more realistic than the traditional models because it integrates many important featur...
Alexey L. Lastovetsky, Ravi Reddy
BPM
2009
Springer
168views Business» more  BPM 2009»
14 years 2 months ago
Divide-and-Conquer Strategies for Process Mining
The goal of Process Mining is to extract process models from logs of a system. Among the possible models to represent a process, Petri nets is an ideal candidate due to its graphic...
Josep Carmona, Jordi Cortadella, Michael Kishinevs...