Results 11 to 20 of about 17,118 (185)
OnD-CRF: predicting order and disorder in proteins conditional random fields [PDF]
Bioinformatics, 2008 Abstract Motivation: Order and Disorder prediction using Conditional Random Fields (OnD-CRF) is a new method for accurately predicting the transition between structured and mobile or disordered regions in proteins. OnD-CRF applies CRFs relying on features which are generated from the amino acids sequence and from secondary structure ...
Lixiao Wang, Uwe H. Sauer
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An efficient deep learning model for brain tumour detection with privacy preservation
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Internet of medical things (IoMT) is becoming more prevalent in healthcare applications as a result of current AI advancements, helping to improve our quality of life and ensure a sustainable health system. IoMT systems with cutting‐edge scientific capabilities are capable of detecting, transmitting, learning and reasoning.
Mujeeb Ur Rehman +8 more
wiley +1 more source
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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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
doaj +1 more source
IEEE Access, 2021 Many electrical equipment malfunction text messages are collected during power system operation and maintenance procedures. These texts usually contain crucial information for maintenance and condition monitoring.
Zhe Kong +5 more
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Extraction of lexico-grammatic features and coupling of CRF (Conditional Random Field) units to the deep neural network for aspect extraction [PDF]
Revue Africaine de Recherche en Informatique et Mathématiques Appliquées, 2021 The Internet contains a wealth of information in the form of unstructured texts such as customer comments on products, events and more. By extracting and analyzing the opinions expressed in customer comments in detail, it is possible to obtain valuable opportunities and information for customers and companies. The model proposed by Jebbara and Cimiano.
Bengono Obiang, Saint Germes Bienvenu +1 more
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IDP–CRF: Intrinsically Disordered Protein/Region Identification Based on Conditional Random Fields [PDF]
International Journal of Molecular Sciences, 2018 Accurate prediction of intrinsically disordered proteins/regions is one of the most important tasks in bioinformatics, and some computational predictors have been proposed to solve this problem. How to efficiently incorporate the sequence-order effect is critical for constructing an accurate predictor because disordered region distributions show global
Yumeng Liu, Xiaolong Wang, Bin Liu
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Study on MRI Medical Image Segmentation Technology Based on CNN-CRF Model
IEEE Access, 2020 Image segmentation is an important technique for segmenting images without overlapping each other and having their own features. It has been rapidly developed in the field of medical imaging, but there is currently a difference between classification ...
Naiqin Feng, Xiuqin Geng, Lijuan Qin
doaj +1 more source
MULTITEMPORAL CROP TYPE CLASSIFICATION USING CONDITIONAL RANDOM FIELDS AND RAPIDEYE DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 The task of crop type classification with multitemporal imagery is nowadays often done applying classifiers that are originally developed for single images like support vector machines (SVM).
T. Hoberg, S. Müller
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JU_CSE: A Conditional Random Field (CRF) Based Approach to Aspect Based Sentiment Analysis [PDF]
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), 2014 The fast upswing of online reviews and their sentiments on the Web became very useful information to the people. Thus, the opinion/sentiment mining has been adopted as a subject of increasingly research interest in the recent years. Being a participant in the Shared Task Challenge, we have developed a Conditional Random Field based system to accomplish
Braja Gopal Patra +3 more
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