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» Robust Clustering based on Winner-Population Markov Chain
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ICPR
2004
IEEE
15 years 10 months ago
Eye Tracking Using Markov Models
We propose an eye detection and tracking method based on color and geometrical features of the human face using a monocular camera. In this method a decision is made on whether th...
A. M. Bagci, Ashfaq A. Khokhar, E. Cetin, Rashid A...
QEST
2007
IEEE
15 years 3 months ago
Cluster Grid based Response-time analysis module for the PIPE Tool
Generalized Stochastic Petri Nets (GSPNs) are a widely used high-level formalism used for modelling discrete-event systems. The Platform Independent Petri net Editor (PIPE) is an ...
Harini Kulatunga, Ashok Argent-Katwala, William J....
80
Voted
JCP
2006
111views more  JCP 2006»
14 years 9 months ago
Mining Developing Trends of Dynamic Spatiotemporal Data Streams
This paper1 presents an efficient modeling technique for data streams in a dynamic spatiotemporal environment and its suitability for mining developing trends. The streaming data a...
Yu Meng, Margaret H. Dunham
BMCBI
2007
160views more  BMCBI 2007»
14 years 9 months ago
Identifying protein complexes directly from high-throughput TAP data with Markov random fields
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
Wasinee Rungsarityotin, Roland Krause, Arno Sch&ou...
ICIP
2009
IEEE
14 years 7 months ago
Markovian clustering for the non-local means image denoising
The non-local means filter is one of powerful denoising methods which allows participation of far, but proper pixels in the denoising process. Although the weights of non-similar ...
Rachid Hedjam, Reza Farrahi Moghaddam, Mohamed Che...