Earth-mover tyres and rims

2020 ◽  
Keyword(s):  
Earth Mover

Earth-mover tyres and rims

2015 ◽  
Keyword(s):  
Earth Mover

scholarly journals Document Similarity Measure Based on the Earth Mover\'s Distance Utilizing Latent Dirichlet Allocation

2016 ◽  
Vol 12 (2) ◽  
pp. 214-222 ◽  
Author(s):  
Min-Hee Jang ◽  
Tae-Hwan Eom ◽  
Sang-Wook Kim ◽  
Young-Sup Hwang
Keyword(s):  
Similarity Measure ◽  
Latent Dirichlet Allocation ◽  
Document Similarity ◽  
The Earth ◽  
Earth Mover ◽  
Dirichlet Allocation

scholarly journals A Fuzzy Logic based Privacy Preservation Clustering method for achieving K- Anonymity using EMD in dLink Model

2016 ◽  
Vol 12 (12) ◽  
pp. 4601-4610 ◽  
Author(s):  
D. Palanikkumar ◽  
S. Priya ◽  
S. Priya
Keyword(s):  
Data Mining ◽  
Privacy Preservation ◽  
Numerical Data ◽  
Fuzzy Membership Function ◽  
Data Mining Technique ◽  
Sensitive Data ◽  
Sensitive Attribute ◽  
Modification Technique ◽  
Earth Mover ◽  
Preservation Technique

Privacy preservation is the data mining technique which is to be applied on the databases without violating the privacy of individuals. The sensitive attribute can be selected from the numerical data and it can be modified by any data modification technique. After modification, the modified data can be released to any agency. If they can apply data mining techniques such as clustering, classification etc for data analysis, the modified data does not affect the result. In privacy preservation technique, the sensitive data is converted into modified data using S-shaped fuzzy membership function. K-means clustering is applied for both original and modified data to get the clusters. t-closeness requires that the distribution of sensitive attribute in any equivalence class is close to the distribution of the attribute in the overall table. Earth Mover Distance (EMD) is used to measure the distance between the two distributions should be no more than a threshold t. Hence privacy is preserved and accuracy of the data is maintained.

scholarly journals Two Level Authentication using Biometrics based on Earth Mover's Distance (EMD)

2012 ◽  
Vol 42 (13) ◽  
pp. 29-33
Author(s):  
B.Srinivas B.Srinivas ◽  
U.Neelima U.Neelima ◽  
P.Satheesh P.Satheesh ◽  
Koduganti Venkata Rao
Keyword(s):  
Earth Mover

scholarly journals Better embeddings for planar Earth-Mover Distance over sparse sets

2014 ◽  
Author(s):  
Artūrs Bačkurs ◽  
Piotr Indyk
Keyword(s):  
Earth Mover

Earth Mover Distance on superpixels

2010 ◽  
Author(s):  
Sylvain Boltz ◽  
Frank Nielsen ◽  
Stefano Soatto
Keyword(s):  
Earth Mover

scholarly journals Efficient Sketches for Earth-Mover Distance, with Applications

2009 ◽  
Author(s):  
Alexandr Andoni ◽  
Khanh Do Ba ◽  
Piotr Indyk ◽  
David Woodruff
Keyword(s):  
Earth Mover

Unmanned Earth Mover For Hazardous Operations

2009 ◽  
Author(s):  
Alok Mukherjee ◽  
Bani Hazra
Keyword(s):  
Earth Mover

scholarly journals Piracy Detection and Prevention using SIFT based on Earth Mover�s Distance (EMD).

2012 ◽  
Vol 38 (7) ◽  
pp. 35-41
Author(s):  
B. Srinivas ◽  
Dr.Koduganti Venkata Rao ◽  
Dr. P.Suresh Varma
Keyword(s):  
Earth Mover

A fast retrieval algorithm for the earth mover’s distance using EMD lower bounds

2008 ◽  
Author(s):  
Masami Shishibori ◽  
Satoru Tsuge ◽  
Zhang Le ◽  
Minoru Sasaki ◽  
Yoshiki Uemura ◽  
...  
Keyword(s):  
Lower Bounds ◽  
Retrieval Algorithm ◽  
The Earth ◽  
Earth Mover
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