Results 21 to 30 of about 438,874 (275)
Characterizing large-scale weak interlayer shear zones using conditional random field theory
Journal of Rock Mechanics and Geotechnical Engineering, 2023 The shear behavior of large-scale weak intercalation shear zones (WISZs) often governs the stability of foundations, rock slopes, and underground structures.
Gang Han +7 more
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Conditional Random Fields for Image Labeling [PDF]
Mathematical Problems in Engineering, 2016 With the rapid development and application of CRFs (Conditional Random Fields) in computer vision, many researchers have made some outstanding progress in this domain because CRFs solve the classical version of the label bias problem with respect to MEMMs (maximum entropy Markov models) and HMMs (hidden Markov models).
Tong Liu, Xiutian Huang, Jianshe Ma
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Miner detection method based on conditional random field
Gong-kuang zidonghua, 2015 For low detection ratio, accuracy and efficiency of existing object detection methods of video image, a miner detection method based on conditional random field was proposed.
LIU Jun +4 more
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Power of Attention in MOOC Dropout Prediction
IEEE Access, 2020 The dropout rate of massive open online courses (MOOC) has been significantly high, which makes its prediction an important problem. In this article, we try to transfer the knowledge gained in the field of Natural Language Processing into the field of ...
Shengjun Yin +3 more
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A stochastic space-time model for intermittent precipitation occurrences [PDF]
, 2015 Modeling a precipitation field is challenging due to its intermittent and highly scale-dependent nature. Motivated by the features of high-frequency precipitation data from a network of rain gauges, we propose a threshold space-time $t$ random field (tRF)
Stein, Michael L., Sun, Ying
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On regularity conditions for random fields [PDF]
Proceedings of the American Mathematical Society, 1994 Indexed by the integer lattice of dimension at least two, there exists a nondegenerate strictly stationary random field which is one-dependent with respect to "lattice-halfspaces" but which is also measurable with respect to its own tail sigma-field.
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Improved Image Segmentation Algorithm Based on High-order Conditional Random Field Model [PDF]
Jisuanji gongcheng, 2016 In image segmentation,Conditional Random Field(CRF) model and its higher-order model are widely used as energy function.The latter is based on second-order model by introducing higher-order potential function to reflect consistency of pixel labels of ...
WANG Lingjiao,ZHONG Yiqun,GUO Hua,PENG Zhiqiang
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Scene-Layout Compatible Conditional Random Field for Classifying Terrestrial Laser Point Clouds [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Terrestrial Laser Scanning (TLS) rapidly becomes a primary surveying tool due to its fast acquisition of highly dense threedimensional point clouds. For fully utilizing its benefits, developing a robust method to classify many objects of interests from ...
C. Luo, G. Sohn
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Multi-Modal Mean-Fields via Cardinality-Based Clamping [PDF]
, 2016 Mean Field inference is central to statistical physics. It has attracted much interest in the Computer Vision community to efficiently solve problems expressible in terms of large Conditional Random Fields.
Baqué, Pierre +2 more
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EFFICIENT SEMANTIC SEGMENTATION OF MAN-MADE SCENES USING FULLY-CONNECTED CONDITIONAL RANDOM FIELD [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 In this paper we explore semantic segmentation of man-made scenes using fully connected conditional random field (CRF). Images of man-made scenes display strong contextual dependencies in the spatial structures. Fully connected CRFs can model long-range
W. Li, M. Y. Yang, M. Y. Yang
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