Results 21 to 30 of about 437,723 (274)
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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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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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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Variational Infinite Hidden Conditional Random Fields [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 Hidden conditional random fields (HCRFs) are discriminative latent variable models which have been shown to successfully learn the hidden structure of a given classification problem. An Infinite hidden conditional random field is a hidden conditional random field with a countably infinite number of hidden states, which rids us not only of the necessity
Bousmalis, K +4 more
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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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Analogues of Non-Gibbsianness in Joint Measures of Disordered Mean Field Models [PDF]
, 2002 It is known that the joint measures on the product of spin-space and disorder space are very often non-Gibbsian measures, for lattice systems with quenched disorder, at low temperature.
Külske, Christof,
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Amharic Text Chunker using Conditional Random Fields
International Journal of Computer Applications, 2021 This paper introduces Amharic text chunker using conditional random fields. To get the optimal feature set of the chunker; the researchers’ conduct different experiments using different scenarios until a promising result obtained. In this study different sentences are collected from Amharic grammar books, new articles, magazines and news of Walta ...
Getaneh, Birhan Hailu +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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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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Rockhead profile simulation using an improved generation method of conditional random field
Journal of Rock Mechanics and Geotechnical Engineering, 2022 Rockhead profile is an important part of geological profiles and can have significant impacts on some geotechnical engineering practice, and thus, it is necessary to establish a useful method to reverse the rockhead profile using site investigation ...
Liang Han +4 more
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