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Shapes as Product Differentiation: Neural Network Embedding in the
  Analysis of Markets for Fonts

Shapes as Product Differentiation: Neural Network Embedding in the Analysis of Markets for Fonts

6 July 2021
Sukjin Han
Erica Schulman
Kristen Grauman
Santhosh Kumar Ramakrishnan
ArXivPDFHTML

Papers citing "Shapes as Product Differentiation: Neural Network Embedding in the Analysis of Markets for Fonts"

3 / 3 papers shown
Title
Hedonic Prices and Quality Adjusted Price Indices Powered by AI
Hedonic Prices and Quality Adjusted Price Indices Powered by AI
Patrick Bajari
Zhihao Cen
Victor Chernozhukov
Manoj Manukonda
Suhas Vijaykumar
...
Ramon Huerta
Junbo Li
Ling Leng
George Monokroussos
Shan Wan
36
13
0
28 Apr 2023
Deeply learned face representations are sparse, selective, and robust
Deeply learned face representations are sparse, selective, and robust
Yi Sun
Xiaogang Wang
Xiaoou Tang
CVBM
252
921
0
03 Dec 2014
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
311
31,280
0
16 Jan 2013
1