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» A fuzzy random forest
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128
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TFS
2008
174views more  TFS 2008»
15 years 3 months ago
Type-2 Fuzzy Markov Random Fields and Their Application to Handwritten Chinese Character Recognition
In this paper, we integrate type-2 (T2) fuzzy sets with Markov random fields (MRFs) referred to as T2 FMRFs, which may handle both fuzziness and randomness in the structural patter...
Jia Zeng, Zhi-Qiang Liu
106
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FSS
2006
64views more  FSS 2006»
15 years 3 months ago
Strong laws of large numbers for independent fuzzy set-valued random variables
In this paper, we shall present strong laws of large numbers (SLLN's) for independent (not necessary identically distributed) fuzzy set-valued random variables whose base spa...
Shoumei Li, Yukio Ogura
122
Voted
SIBGRAPI
2007
IEEE
15 years 10 months ago
Seed-Relative Segmentation Robustness of Watershed and Fuzzy Connectedness Approaches
This paper analyzes the robustness issue in three segmentation approaches: the iterative relative fuzzy object extraction, the watershed transforms (WT) by image foresting transfo...
Romaric Audigier, Roberto de Alencar Lotufo
107
Voted
ICPR
2004
IEEE
16 years 4 months ago
Type-2 Fuzzy Hidden Markov Models to Phoneme Recognition
This paper presents a novel extension of Hidden Markov Models (HMMs): type-2 fuzzy HMMs (type-2 FHMMs). The advantage of this extension is that it can handle both randomness and f...
Jia Zeng, Zhi-Qiang Liu
95
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CSDA
2008
84views more  CSDA 2008»
15 years 3 months ago
Bayesian spatial prediction of the site index in the study of the Missouri Ozark Forest Ecosystem Project
This paper presents a Bayesian spatial method for analysing the site index data from the Missouri Ozark Forest Ecosystem Project (MOFEP). Based on ecological background and availa...
Xiaoqian Sun, Zhuoqiong He, John Kabrick