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Using classifier cascades for scalable e-mail classification
2011
Proceedings of the 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference on - CEAS '11
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Using this method, we learn a relationship between feature costs and label hierarchies, for granular classification and cost budgets, for load-sensitive classification. ...
E-mail classification is an area where accurate and timely results require such a trade-off. We identify two scenarios where intelligent feature acquisition can improve classifier performance. ...
CONCLUSION The use of classifier cascades for classifying e-mail messages shows great promise. ...
doi:10.1145/2030376.2030383
dblp:conf/ceas/PujaraDG11
fatcat:3whipobtbzge7dcoomsbqyjr4e
Computer Vision Platform Design with MEAN Stack Basis
MEAN Stack 기반의 컴퓨터 비전 플랫폼 설계
2015
Journal of the Korea Society of Digital Industry and Information Management
MEAN Stack 기반의 컴퓨터 비전 플랫폼 설계
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Especially we used MongoDB for developing the performance of vision platform because the MongoDB is more akin to working with objects in a programming language than what we know of as a database. ...
ability with Bluetooth technology for the purpose of making Android Mobile devices interface. ...
In this paper, we used the Raspberry Pi 2 Model and PI camera module, with at least an 16
Cascade Classification In this paper, we used the Haar
Logical Platform We used the MongoDB which is ...
doi:10.17662/ksdim.2015.11.3.001
fatcat:cm56hcaobzdede6mvhwyr5ktae
Automatically tagging email by leveraging other users' folders
2011
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '11
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We design a novel cascade classification approach, which copes with the severe scalability and accuracy constraints we are facing. ...
Significant efficiency gains are achieved by working within a low dimensional latent space, and by using a novel hierarchical classifier. ...
mail engineering team for their great help in facilitating this research and pushing it into production, with special thanks to Woody Anderson, Vishwanath Ramarao, and Andrew Sloane. ...
doi:10.1145/2020408.2020560
dblp:conf/kdd/KorenLMS11
fatcat:ujibsh42zzgjjc3qrtlbo6gvmy
Beyond 5G: Leveraging Cell Free TDD Massive MIMO using Cascaded Deep learning
[article]
2020
arXiv
pre-print
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The proposed method is easily scalable and removes the need for relative reciprocity calibration based on the cooperation of antennas, which usually introduces dependency in Cell Free Massive MIMO systems ...
We propose a cascade of two Deep Neural Networks (DNN) to achieve the objective. ...
Radhakrishna Ganti, Associate Professor of Electrical Engineering, IIT Madras for useful discussion. ...
arXiv:1910.05705v2
fatcat:nmxhaltkpzdwdgrycy5s25ydpm
Corporate IT-support Help-Desk Process Hybrid-Automation Solution with Machine Learning Approach
[article]
2019
arXiv
pre-print
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XGBoost cascaded hierarchical models, Bi-LSTM model with word embeddings perform well showing 77.3 overall accuracy For the real world corporate email data set. ...
Email topic modelling with various machine learning, deep-learning approaches are compared with different features for a scalable, generalised solution along with sure-shot static rules. ...
E. Threshold Selection In order to classify only higher confident emails, the thresholds for each and every 73 categories are defined. ...
arXiv:1909.09018v1
fatcat:pntnsjrylrdktclpawgdvlftf4
How Many Folders Do You Really Need?
2014
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management - CIKM '14
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Email classification is still a mostly manual task. Consequently, most Web mail users never define a single folder. ...
Recently however, automatic classification offering the same categories to all users has started to appear in some Web mail clients, such as AOL or Gmail. ...
Finally this work would not have been possible without the constant support of the Mail engineering and product teams at Yahoo. ...
doi:10.1145/2661829.2662018
dblp:conf/cikm/GrbovicHKM14
fatcat:po36kz252jetvcjjfpjivohxuu
Deep Learning Hyper-Parameter Optimization for Video Analytics in Clouds
2018
IEEE Transactions on Systems, Man & Cybernetics. Systems
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The system proved to be scalable, robust and customizable for a variety of different applications. ...
Videos are fetched from cloud storage, pre-processed and a model for supporting classification is developed on these video streams using cloud-based infrastructure. ...
Haar cascade classifier [8] is used for the detection of objects from video frames. ...
doi:10.1109/tsmc.2018.2840341
fatcat:y6fp7xy6ufen5pae4qjctuc6au
Heart Disease Prediction System Using Supervised Learning Classifier
2013
Bonfring International Journal of Software Engineering and Soft Computing
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The information in the patient record is classified using a Cascaded Neural Network (CNN) classifier. ...
The proposed system will provide an aid for the physicians to diagnosis the disease in a more efficient way. The efficiency of the classifier is tested using the records collected from 270 patients. ...
The SVM classifier with RBF kernel is used for classification. ...
doi:10.9756/bijsesc.4336
fatcat:xux47djj2jgntmiq36edjfxx7i
Efficient model sharing for scalable collaborative classification
2014
Peer-to-Peer Networking and Applications
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To this end, we distribute locally built classification models in a network of participating users, and combine the shared classifiers into more powerful meta models. ...
In our experiments on four large standard collections for text classification we study the resulting tradeoffs between network cost and classification accuracy. ...
In particular, the computational cost for classifying an item e with feature vector e, using |M i | different models is O(|M i | × |e|), while the cost for evaluating it using the meta classifier, as we ...
doi:10.1007/s12083-014-0259-1
fatcat:5vn5emxi3bde3hc276mknrueoy
A General Active-Learning Framework for On-Road Vehicle Recognition and Tracking
2010
IEEE transactions on intelligent transportation systems (Print)
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Using the query and archiving interface for active learning (QUAIL), the passively trained vehicle-recognition system is evaluated on an independent real-world data set, and informative samples are queried ...
A passively trained recognition system is built using conventional supervised learning. ...
E. Murphy-Chutorian for their valuable contributions to testbed design and data collection. The authors would also like to thank the associate editor and reviewers for their valuable comments. ...
doi:10.1109/tits.2010.2040177
fatcat:ulb2peya3zdpzlu2ztu7m34kei
Design and Implementation of a Highly Scalable, Low-Cost Distributed Traffic Violation Enforcement System in Phuket, Thailand
2021
Sustainability
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computer vision methods and another using deep learning techniques. ...
Information technology solutions have emerged for automated traffic enforcement systems in the last decade. ...
We adopt different detection algorithms for the two versions deployed thus far: • Haar AdaBoost cascade classifier: This version uses the classic AdaBoost cascade classifier using Haar-like features. ...
doi:10.3390/su13031210
fatcat:rdxumhp4sbb5nkpv2kivzgbcua
Characterizing Individual Communication Patterns
[article]
2009
arXiv
pre-print
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We conclude that communication patterns may prove useful as an additional class of attribute data, complementing demographic and network data, for user classification and outlier detection--a point that ...
The increasing availability of electronic communication data, such as that arising from e-mail exchange, presents social and information scientists with new possibilities for characterizing individual ...
EMS User 1962, for example, only sent 5 e-mails while receiving 2,284 e-mails and KW User 3069337 only sent 1 e-mail while receiving 26,230 e-mails. ...
arXiv:0905.0106v1
fatcat:6fhs7ozf45clxez6fxhd4sesfi
Characterizing individual communication patterns
2009
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '09
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We conclude that communication patterns may prove useful as an additional class of attribute data, complementing demographic and network data, for user classification and outlier detection-a point that ...
The increasing availability of electronic communication data, such as that arising from e-mail exchange, presents social and information scientists with new possibilities for characterizing individual ...
EMS User 1962, for example, only sent 5 e-mails while receiving 2,284 e-mails and KW User 3069337 only sent 1 e-mail while receiving 26,230 e-mails. ...
doi:10.1145/1557019.1557088
dblp:conf/kdd/MalmgrenHAW09
fatcat:fjzoyekvyjc4xmmpzyhowjbywe
A High Speed Reconfigurable Face Detection Architecture Based on AdaBoost Cascade Algorithm
2012
IEICE transactions on information and systems
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This user adjustable mode makes the reconfiguration simple and efficient, and is especially suitable for portable mobile terminals whose working condition often changes frequently. ...
. † † The author is with Shanghai Maritime University, Shanghai, 200135, China. a) E-mail: wnzhou@shmtu.edu.cn b) E-mail: junhan@fudan.edu.cn (correspondence author) DOI: 10.1587/transinf.E95.D.383
Fig ...
In considering that, detection using classifiers fewer than 12 stages has an unacceptable FAR(False Accept Rate) for common use, they are not included in the adjustable range. ...
doi:10.1587/transinf.e95.d.383
fatcat:qnywjrdx3zgmfgjneygmplos4a
Asymmetric support vector machines
2008
Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD 08
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Many practical applications of classification require the classifier to produce a very low false-positive rate. ...
Such a new objective formulation allows us to raise the confidence in predicting the positives, and therefore obtain a lower chance of false-positives. ...
For example, users are unlikely to accept a spam filter capable of identifying 1 0 0 % of spam but half of the spam predictions are actually good mails. ...
doi:10.1145/1401890.1401980
dblp:conf/kdd/WuLCC08
fatcat:2yqz7emqpbeonblljvuqizndp4
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