Výsledky vyhledávání - "Store classification"

Akademický článek

Studying the Impact of Changing Consumer Behavior During Crisis Periods Through Store Classification

Publikováno v: International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-16 (2024)

Abstract Since customer behavior changes unpredictably during crisis periods such as pandemics, many sectors have been affected differently. The retail sector in particular has been one of the most affected sectors. Retail companies that could not de

Externí odkaz: https://doaj.org/article/a113e7497c9043d28751c2db2e2bf393

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Akademický článek

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Akademický článek

Store classification using Text-Exemplar-Similarity and Hypotheses-Weighted-CNN

Autor: Huang, Chao, Li, Hongliang, Li, Wei, Wu, Qingbo, Xu, Linfeng

Publikováno v: In Journal of Visual Communication and Image Representation April 2017 44:21-28

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Periodical

Researchers at Yildiz Technical University Have Published New Study Findings on Machine Learning (Studying the Impact of Changing Consumer Behavior During Crisis Periods Through Store Classification).

Publikováno v: TB & Outbreaks Week; 12/20/2024, p273-273, 1p

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Akademický článek

A Reconceptualization of Store Classification As Related to Retail Strategy Formulation.

Autor: Mayer, Morris L.¹, Mason, Joseph Barry², Gee, Morris³

Publikováno v: Journal of Retailing. Fall71, Vol. 47 Issue 3, p27. 11p.

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Store classification using machine learning

Autor: Gispert Serrano, Sergi

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

In this project we have developed different image classification systems based on MachineLearning techniques. This work has implemented classifiers based on basic Machine Learning techniques as well as classifiers based on more complex techniques suc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::62f54926f89f617d8466f835d7b646c6
http://hdl.handle.net/2117/329443

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Store classification using Text-Exemplar-Similarity and Hypotheses-Weighted-CNN

Autor: Qingbo Wu, Linfeng Xu, Wei Li, Hongliang Li, Chao Huang

Publikováno v: Journal of Visual Communication and Image Representation. 44:21-28

Store classification is a challenging task due to the large variation of view, scale, illumination and occlusion. To efficiently distinguish different stores, we introduce two features: Text-Exemplar-Similarity and Hypotheses-Weighted-CNN. For the fi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1f804dfb562304a91452293ca33f1358
https://doi.org/10.1016/j.jvcir.2017.01.011

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Combining Visual and Contextual Information for Fraudulent Online Store Classification

Autor: Wouter Mostard, Bastiaan Zijlema, Marco A. Wiering

Publikováno v: WI
Proceedings-2019 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2019, 84-90
STARTPAGE=84;ENDPAGE=90;TITLE=Proceedings-2019 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2019

Following the rise of e-commerce there has been a dramatic increase in online criminal activities targeting online shoppers. Considering that the number of online stores has risen dramatically, manually checking these stores has become intractable. A

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adbf55916bc7e63ed600c3532672b286
https://doi.org/10.1145/3350546.3352504

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