Suchergebnisse - "Semi-supervised learning algorithm"

Car Emotion Labeling Based on Color-SSL Semi-Supervised Learning Algorithm by Color Augmentation von Guo, Zhuen, Lin, Li, Liu, Baoqi, Zhang, Li, Chang, Kaixin, Li, Lingyun, Jiang, Zuoya, Wu, Jinmeng

“… In the era of emotional consumption, it has become a hot topic that commodities meet consumers’ emotional needs. As a necessity of life, the car also needs to …”
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A Novel Maximum Mean Discrepancy-Based Semi-Supervised Learning Algorithm von Huang, Qihang, He, Yulin, Huang, Zhexue

“… To provide more external knowledge for training self-supervised learning (SSL) algorithms, this paper proposes a maximum mean discrepancy-based SSL (MMD-SSL) …”
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Porphyry Cu-Au prospectivity modelling using semi-supervised learning algorithm in Dehsalm district, eastern Iran von Majid Keykhay-Hosseinpoor, Amir Hossein Kouhsari, Amin Hossein Morshedy, Alok Porwal

“… Introduction The identification of potentially mineralized areas has progressed with the use and interpretation of all available exploratory data in the form …”
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A network-based positive and unlabeled learning approach for fake news detection von de Souza, Mariana Caravanti, Nogueira, Bruno Magalhães, Rossi, Rafael Geraldeli, Marcacini, Ricardo Marcondes, dos Santos, Brucce Neves, Rezende, Solange Oliveira

“… Fake news can rapidly spread through internet users and can deceive a large audience. Due to those characteristics, they can have a direct impact on political …”
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Toward intelligent music information retrieval von Tao Li, Ogihara, M.

“… Efficient and intelligent music information retrieval is a very important topic of the 21st century. With the ultimate goal of building personal music …”
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Compact Graph based Semi-Supervised Learning for Medical Diagnosis in Alzheimer's Disease von Mingbo Zhao, Chan, Rosa H. M., Chow, Tommy W. S., Peng Tang

“… In this letter, we introduce a graph based semi-supervised learning algorithm for Medical Diagnosis by using partly labeled samples and large amount of unlabeled samples …”
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An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks von Herrmann, Jan-Phillip, Tackenberg, Sven, Padoano, Elio, Hartlief, Jörg, Rautenstengel, Jens, Loeser, Christine, Böhme, Jörg

“… the BN’s functionality, design, and validation and show how using the perceived DQ of experts and a semi-supervised learning algorithm improves …”
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MCI Identification by Joint Learning on Multiple MRI Data von Gao, Yue, Wee, Chong-Yaw, Kim, Minjeong, Giannakopoulos, Panteleimon, Montandon, Marie-Louise, Haller, Sven, Shen, Dinggang

“… the mutual information among them. To this end, we devise a hypergraph-based semi-supervised learning algorithm …”
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Gaussian Transformation Enhanced Semi-Supervised Learning for Sleep Stage Classification von Guo, Yifan

“… Sleep disorders are torturing big populations in modern society. To provide efficient help to people with sleep difficulties, accurate sleep monitoring is …”
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Semi-Supervised Learning for Individual-Level Functional Parcellation of the Human Precuneus von Li, Jie, Peng, Limin, Yu, Yang, Zeng, Ling-Li

“… In this study, we developed a semi-supervised learning algorithm for the individual-level parcellation based on resting-state fMRI data, and performed the individual precuneus parcellation on three different subjects …”
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Adaptive Gaussian Fuzzy Classifier for Real-Time Emotion Recognition in Computer Games von Leite, Daniel, Frigeri, Volnei, Medeiros, Rodrigo

“… ), which is supported by a semi-supervised learning algorithm to recognize emotion patterns from electroencephalogram (EEG) data streams …”
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Graph-Based Learning and Data Analysis von Li, Hao

“… The first piece of work showcases a specific graph-based semi-supervised learning algorithm in the application to ego-activity classification in body-worn video …”
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Bayesian Semi-Supervised Learning with Application to ROC Surface Estimation von Zhu, Rui

“… Semi-supervised learning is a classification method which makes use of both labeled data and unlabeled data for training. Since labeling data can be expensive …”
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Fault detection, classification and protection in solar photovoltaic arrays von Zhao, Ye

“… Despite the fact that PV systems have no moving parts and usually require low maintenance, they are still subject to various fault conditions …”
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The performance improvement algorithm of co-training by committee von Ruiyan Wang, Li Li

“… Co-training by Committee is an iterative semi-supervised learning algorithm. During the iteration of this algorithm, the previous committee is used for predicting unlabeled examples …”
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Adaptive Gaussian Fuzzy Classifier for Real-Time Emotion Recognition in Computer Games von Leite, Daniel, Frigeri, Volnei, Medeiros, Rodrigo

“… ), which is supported by an online semi-supervised learning algorithm to recognize emotion patterns from electroencephalogram (EEG) data streams …”
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MCI Identification by Joint Learning on Multiple MRI Data von Gao, Yue, Wee, Chong-Yaw, Kim, Minjeong, Giannakopoulos, Panteleimon, Montandon, Marie-Louise, Haller, Sven, Shen, Dinggang

“… the mutual information among them. To this end, we devise a hypergraph-based semi-supervised learning algorithm …”
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Semi-Supervised Learning Based Color Iris Recognition von Caitang Sun, Melgani, F., Chunguang Zhou, De Natale, F., Libiao Zhang, Xiangdong Liu

“… We present a semi-supervised learning algorithm for iris recognition. Two methods are employed to estimate the distance between a test image and a subject …”
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Intrusion detection based on the semi-supervised Fuzzy C-Means clustering algorithm von Feng Guorui, Zou Xinguo, Wu Jian

“… In this paper a semi-supervised learning algorithm for intrusion detection is proposed combined with the Fuzzy C-Means algorithm …”
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Semi-supervised learning with lexical knowledge for opinion mining von Nóra, Balla-Müller, Lemnaru, C, Potolea, R

“… This paper presents an original implementation of a system that integrates a recently proposed semi-supervised learning algorithm for text polarity classification …”
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