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TAL
2004
Springer
16 years 1 days ago
Unsupervised Training of a Finite-State Sliding-Window Part-of-Speech Tagger
A simple, robust sliding-window part-of-speech tagger is presented and a method is given to estimate its parameters from an untagged corpus. Its performance is compared to a standa...
Enrique Sánchez Villamil, Mikel L. Forcada,...
EOR
2007
102views more  EOR 2007»
15 years 6 months ago
Sub-stochastic matrix analysis for bounds computation - Theoretical results
Performance evaluation of complex systems is a critical issue and bounds computation provides confidence about service quality, reliability, etc. of such systems. The stochastic ...
Serge Haddad, Patrice Moreaux
NIPS
1997
15 years 8 months ago
Nonlinear Markov Networks for Continuous Variables
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
Reimar Hofmann, Volker Tresp
ICMCS
2009
IEEE
415views Multimedia» more  ICMCS 2009»
15 years 4 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»
16 years 1 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