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ICMCS
2009
IEEE
415views Multimedia» more  ICMCS 2009»
15 years 2 months ago
A new localized superpixel Markov random field for image segmentation
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
Xiaofeng Wang, Xiao-Ping Zhang
ICC
2009
IEEE
114views Communications» more  ICC 2009»
15 years 11 months ago
Markov Chain Minimum Bit Error Rate Detection for Multi-Functional MIMO Uplink
— In this paper, we introduce a novel Markov Chain (MC) representation aided Minimum Bit Error Rate (MBER) detection method that is applicable to an M-QAM modulated SDM/SDMA upli...
Shinya Sugiura, Sheng Chen, Lajos Hanzo
ICMCS
2010
IEEE
193views Multimedia» more  ICMCS 2010»
15 years 5 months ago
Motion segmentation in compressed video using Markov Random Fields
In this paper, we propose an unsupervised segmentation algorithm for extracting moving objects/regions from compressed video using Markov Random Field (MRF) classification. First,...
Yue-Meng Chen, Ivan V. Bajic, Parvaneh Saeedi
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
14 years 11 months ago
Aggregation-based model reduction of a Hidden Markov Model
This paper is concerned with developing an information-theoretic framework to aggregate the state space of a Hidden Markov Model (HMM) on discrete state and observation spaces. The...
Kun Deng, Prashant G. Mehta, Sean P. Meyn
CISIS
2008
IEEE
15 years 11 months ago
Segmentation of the Liver from Abdominal CT Using Markov Random Field Model and GVF Snakes
Liver segmentation from scans of the abdominal area is an important step in several diagnostic processes. CT scans of the abdominal area contain several organs in close proximity ...
Raja' S. Alomari, Suryaprakash Kompalli, Vipin Cha...