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Conditional Random Field
This chapter first introduces the probabilistic undirected graphical model, then describes the definition and various representations of Conditional...
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Analysis of automatic news segmentation combining with conditional random field knowledge recognition algorithm
With the continuous development of the social economy, the ways people obtain news information are becoming increasingly diversified, but with that...
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A conditional random field framework for language process in product review mining
The Part-Of-Speech tagging is widely used in the natural language process. There are many statistical approaches in this area. The most popular one...
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Query intent recognition by integrating latent dirichlet allocation in conditional random field
Intent recognition is the principle component of every spoken language understanding module. In this paper the primary aim of our research are two...
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A hierarchical conditional random field-based attention mechanism approach for gastric histopathology image classification
In the Gastric Histopathology Image Classification (GHIC) tasks, which are usually weakly supervised learning missions, there is inevitably redundant...
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Complex Time Series Analysis Based on Conditional Random Fields
A fundamental problem with complex time series analysis involves data prediction and repair. However, existing methods are not accurate enough for...
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Parts-of-speech tagging of Nepali texts with Bidirectional LSTM, Conditional Random Fields and HMM
Parts-of-Speech (POS) Tagging is one of the fundamental and pre-processing steps for Natural Language Processing (NLP) tasks such as Text...
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Hybrid Optimized Deep Neural Network with Enhanced Conditional Random Field Based Intrusion Detection on Wireless Sensor Network
Security plays an important part in this Internet world because of the hasty improvement of Internet customers. Different Intrusion Detection Systems...
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Across-camera object tracking using a conditional random field model
To ensure safety, most public spaces now deploy monitoring systems. However, in most scenarios, the tracking operations of these monitoring systems...
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Few-Shot Legal Text Segmentation via Rewiring Conditional Random Fields: A Preliminary Study
Functional Text Segmentation is the task of partitioning a textual document in segments that play a certain function. In the legal domain, this is...
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Automatic melanoma detection and segmentation in dermoscopy images using deep RetinaNet and conditional random fields
Melanoma is one of the major causes of death around the world and is also known as malignant skin cancer. Melanoma detection is possible at an early...
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An image segmentation fusion algorithm based on density peak clustering and Markov random field
Image segmentation is a crucial task in the field of computer vision. Markov random fields (MRF) based image segmentation method can effectively...
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Cauchy Markov random field priors for Bayesian inversion
The use of Cauchy Markov random field priors in statistical inverse problems can potentially lead to posterior distributions which are non-Gaussian,...
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Maximizing conditional independence for unsupervised domain adaptation
Unsupervised domain adaptation (UDA) studies how to transfer a learner from a labeled source domain to an unlabeled target domain with different...
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A Novel Protection Method of Continuous Location Sharing Based on Local Differential Privacy and Conditional Random Field
At present, the protection of user’s location privacy (especially mobile user’s location privacy) is widely concerned by academia and industry. Many...
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Node Classification in Random Trees
We propose a method for the classification of objects that are structured as random trees. Our aim is to model a distribution over the node label...
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From Random Probing to Noisy Leakages Without Field-Size Dependence
Side channel attacks are devastating attacks targeting cryptographic implementations. To protect against these attacks, various countermeasures have...
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Deep learning enhanced attributes conditional random forest for robust facial expression recognition
Automated Facial Expression Recognition (FER) has remained challenging because of the high inter-subject (e.g. the variations of age, gender and...
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Superpixel-based object boundary gimmicking using optimized conditional random fields with random associations
Superpixel-based clustering approach gains attention as an efficient pre-processing step for image segmentation during the last decade. In general,...
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Conditional GAN for Point Cloud Generation
Recently, 3D data generation problems have attracted more and more research attention and have been addressed through various approaches. However,...