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An Oracle-based co-training framework for writer identification in offline handwriting
2012
Document Recognition and Retrieval XIX
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Traditional forensic document analysis methods have focused on feature-classification paradigm where a machine learning based classifier is used to learn discrimination among multiple writers. ...
Two learners are initially trained on different views of a smaller labeled training data and their initial hypothesis is used to predict labels on larger unlabeled dataset. ...
Co-training has been successfully used for semi supervised learning in different areas but never been used for labeling data for writer identification to the best of our knowledge. ...
doi:10.1117/12.912221
dblp:conf/drr/PorwalRG12
fatcat:lwiwe74aejd4pcwfkebrh4etxy
Semi-supervised Feature Learning For Improving Writer Identification
[article]
2018
arXiv
pre-print
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Data augmentation is usually used by supervised learning approaches for offline writer identification, but such approaches require extra training data and potentially lead to overfitting errors. ...
In this study, a semi-supervised feature learning pipeline was proposed to improve the performance of writer identification by training with extra unlabeled data and the original labeled data simultaneously ...
Conclusion In this paper, we proposed a semi-supervised feature learning pipeline for offline writer identification. ...
arXiv:1807.05490v3
fatcat:dfxtdkumiffetbtpoye4jp35te
A Dynamic Active Safe Semi-Supervised Learning Framework for Fault Identification in Labeled Expensive Chemical Processes
2020
Processes
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A novel active semi-supervised learning framework using unlabeled data is proposed for fault identification in labeled expensive chemical processes. ...
Finally, a PCA-dynamic active safe semi-supervised support vector machine (PCA-DAS4VM) for fault identification in labeled expensive chemical processes is built. ...
The semi-supervised learning method has been applied to various fields, such as writer identification [10] , sentiment classification [11] , medical image analysis [12] , traffic flow [13] , etc. ...
doi:10.3390/pr8010105
fatcat:vixxiucswba6tpklx24wmouseu
REVIEW OF OFFLINE TEXT INDEPENDENT WRITER IDENTIFICATION TECHNIQUES
2016
Jurnal Teknologi
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Application of writer identification in different language domains is also discussed. Future directions for the automated writer identification are presented in the end. ...
Classification approaches that are mainly used for identification by the researchers and verification by different groups and individuals are presented. ...
To exploit the information in the unlabeled data where the writer is unknown a semi supervised structural learning framework presented in [15] that used the multitask learning to provide low dimensional ...
doi:10.11113/jt.v78.8252
fatcat:cq3yqawmijcm3kqbagd7h6cg3u
CERES: Distantly Supervised Relation Extraction from the Semi-Structured Web
[article]
2018
arXiv
pre-print
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In this paper we present a new method for automatic extraction from semi-structured websites based on distant supervision. ...
The web contains countless semi-structured websites, which can be a rich source of information for populating knowledge bases. ...
Here we focus on techniques applicable to the semi-structured Web: Wrapper induction: Early work for extracting semi-structured data was based on a supervised learning scheme called wrapper induction ...
arXiv:1804.04635v1
fatcat:7g34nyfxvzea5e5zn3j7ejknjm
CERES
2018
Proceedings of the VLDB Endowment
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In this paper we present a new method for automatic extraction from semi-structured websites based on distant supervision. ...
The web contains countless semi-structured websites, which can be a rich source of information for populating knowledge bases. ...
Wrapper induction: Early work for extracting semi-structured data was based on a supervised learning scheme called wrapper induction [21, 36, 17, 27] . ...
doi:10.14778/3231751.3231758
fatcat:fb4vutdhjfegdapdhd6vrxmhhq
SELF-SUPERVISED ADAPTATION FOR ON-LINE SCRIPT TEXT RECOGNITION
[chapter]
2009
Series in Machine Perception and Artificial Intelligence
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The classification expert can be iteratively modified in order to learn the particularities of a writer. ...
We present in this paper several strategies to adapt this recognizer in a self-supervised way to a given writer and compare them to the supervised adaptation scheme. ...
Thanks to their structure, they can learn new writings styles, by activating new prototypes and inactivating erroneous ones. ...
doi:10.1142/9789812834461_0010
dblp:series/smpai/PrevostO09
fatcat:z4va2hrmlfhylitkcanxmwdzqy
Sarcasm Detection: A Comparative Study
[article]
2021
arXiv
pre-print
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Thus far, three main paradigm shifts have occurred in the way researchers have approached this task: 1) semi-supervised pattern extraction to identify implicit sentiment, 2) use of hashtag-based supervision ...
However, the figurative and creative nature of sarcasm poses a great challenge for affective computing systems performing sentiment analysis. ...
Learning-based methods In the following, we delve more into supervised learning, semi-supervised learning, unsupervised learning, structural and hybrid learning. ...
arXiv:2107.02276v2
fatcat:2tgpyhchbngpnnhj3sezmj4hle
Spam Reviews Detection in the Time of COVID-19 Pandemic: Background, Definitions, Methods and Literature Analysis
2022
Applied Sciences
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Reading and posting online reviews becomes an important part of discussion and decision-making, especially for individuals and organizations. ...
The study addresses all the spam reviews detection studies for the years 2020 and 2021. In other words, we analyze and examine all works presented during the COVID-19 situation. ...
Another recent framework proposed by [134] for spam reviews detection using semi-supervised learning. ...
doi:10.3390/app12073634
fatcat:bz2emxqkkbaavn5u2nbztfhqle
Open
2019
Proceedings of the 2019 Conference of the North
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Given a semi-structured website and a set of seed facts for some relations existing on its pages, we employ a semi-supervised label propagation technique to automatically create training data for the relations ...
We then use this training data to learn a classifier for relation extraction. Experimental results of this method on our new benchmark dataset obtained a precision of over 70%. ...
Acknowledgments We wish to thank Hannaneh Hajishirzi for helpful advice, Paolo Merialdo and Valter Crescenzi for help in running WEIR, and Andrew Bridges, Marc Landers, and Alexander Macdonald for their ...
doi:10.18653/v1/n19-1309
dblp:conf/naacl/LockardSD19
fatcat:t2m67vij2nhv7f34rk6n5kh5ra
Historical Document Dating Using Unsupervised Attribute Learning
2016
2016 12th IAPR Workshop on Document Analysis Systems (DAS)
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Non-semantic attributes are discovered in the low-level feature space using an unsupervised attribute learning method. ...
The date of historical documents is an important metadata for scholars using them, as they need to know the historical context of the documents. ...
ACKNOWLEDGMENTS This work has been supported by the Dutch Organization for Scientific Research NWO (project No. 380-50-006). ...
doi:10.1109/das.2016.38
dblp:conf/das/HeSBS16
fatcat:wgg6nb57zrdldb6iwq7vjctp6y
Structured entity identification and document categorization
2008
Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD 08
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In this paper, we propose a probabilistic generative model for joint entity identification and document categorization. ...
Using extensive experiments over real and semi-synthetic data, we demonstrate that the two tasks can benefit immensely from each other when performed jointly using the proposed model. ...
Semi-supervised methods are the most popular among approaches that bootstrap learning on insufficient labeled data by exploiting abundance of unlabeled data [16] . ...
doi:10.1145/1401890.1401899
dblp:conf/kdd/BhattacharyaGJ08
fatcat:qw2cdom2p5grjngs6vg6ne5hs4
A Thresholded Gabor-CNN Based Writer Identification System for Indic Scripts
2021
IEEE Access
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This paper introduces a supervised offline Indic script writer identification system that can identify individuals using less than a single page of handwriting. ...
For the experiment, we used BanglaWriting dataset, which is openly available for Bengali writing and writer recognition. Further, we added Devanagari and Telugu datasets for evaluation. ...
ACKNOWLEDGMENT The authors would like to thank the Advanced Machine Learning (AML) lab for resource sharing and precious opinions. ...
doi:10.1109/access.2021.3114799
fatcat:4ktqpgrl6fa6pcjmequfku7rpq
A PANOPTICS OF SENTIMENTAL ANALYSIS
2017
International Journal of Advanced Research in Computer Science
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In this paper we present a comprehensive review of model and recent trend of research used in implementation of sentimental analysis. ...
Nowadays decision making is very much impacted by the products and services reviews of the products/item, these review data can be used to define trends over time. ...
Sarcasm is a classy type act of speech in which the speakers/writers says contradictory meaning, sarcasms are identified by semi-supervised learning method. ...
doi:10.26483/ijarcs.v8i7.4448
fatcat:o5anrkuknvdzfdn6275zdeyrsa
A Novel Integrated Framework for Sarcasm Detection In Social Platform
2020
International Journal of Engineering and Advanced Technology
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This paper also introduces a novel integrated framework for identifying sarcastic clues in tweets, and recognizing sarcastic users. ...
Sarcasm identification in social media is a crucial facet of the sentiment analysis process, since it deals with texts whose polarity is completely opposite from its utterance. ...
[13] demonstrated a semi-supervised learning algorithm, for recognizing sarcasm that exploits both syntactic and pattern-based feature extraction. ...
doi:10.35940/ijeat.d7519.049420
fatcat:cnstgqhnkbhmndhcenmbu5jp24
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