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ICPR
2008
IEEE
14 years 2 months ago
Qualitative analysis of spatio-temporal event detectors
Interest point detection is an established method to select relevent image regions. Such techniques use features like corners or edges, which are known to indicate regions likely ...
Benedikt Kaiser, Gunther Heidemann
QUESTA
2006
94views more  QUESTA 2006»
13 years 7 months ago
Modeling teletraffic arrivals by a Poisson cluster process
In this paper we consider a Poisson cluster process N as a generating process for the arrivals of packets to a server. This process generalizes in a more realistic way the infinite...
Gilles Faÿ, Bárbara González-Ar...
PR
2007
101views more  PR 2007»
13 years 7 months ago
Use of power law models in detecting region of interest
In this paper, we shall address the issue of semantic extraction of different regions of interest. The proposed approach is based on statistical methods and models inspired from l...
Yves Caron, Pascal Makris, Nicole Vincent
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
14 years 2 months ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava
BMCBI
2010
171views more  BMCBI 2010»
13 years 7 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...