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David Brandon Luper, Age 436131 SE 18Th Ave, Portland, OR 97202

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Known as:
David B Luper
Related to:
Randy Paul Broussard 69 Richard F Lutito 89

David Luper Phones & Addresses

6131 SE 18Th Ave, Portland, OR 97202

San Jose, CA

Athens, GA

Cupertino, CA

75 Deerfield Ct, Royston, GA 30662 (706) 245-4291

Franklin Springs, GA

Work

Position: Craftsman/Blue Collar

Education

Degree: Associate degree or higher

Mentions for David Brandon Luper

David Luper resumes & CV records

Resumes

David Luper Photo 27

Data Engineer

Location:
Kalamazoo, MI
Industry:
Computer Software
Work:
Apple
Data Engineer Samsung Sep 2012 - May 2013
Software Engineer Significant Digits Technologies Pvt. Ltd. Jan 2004 - Jan 2012
Software Engineer University of Georgia May 2011 - Aug 2011
Professor of Record
Education:
The University of Georgia 2005 - 2012
Doctorates, Doctor of Philosophy, Computer Science, Philosophy Emmanuel College (Boston) 2000 - 2004
Bachelors, Bachelor of Science, Information Systems
Skills:
Distributed Systems, Gpu Computation, Visualizing Massive Data Sets, Machine Learning, Java, C++, Software Engineering, Backend Development, Antlr, Pattern Recognition, Algorithms, Knowledge Extraction, Computational Intelligence, Artificial Intelligence, Android Development, Data Mining, Graph Mining, Computer Vision, Genetic Algorithms, Fuzzy Logic, Big Data, R, Ios Development, Opencv, Unix, Hadoop, Opengl, Spark, Linux
Languages:
English
David Luper Photo 28

David Luper

Publications & IP owners

Us Patents

Updating Point Of Interest Data Using Georeferenced Transaction Data

US Patent:
2015034, Dec 3, 2015
Filed:
Sep 30, 2014
Appl. No.:
14/503074
Inventors:
- Cupertino CA, US
François M. Jouaux - Woodside CA, US
David Luper - Cupertino CA, US
Christophe Hivert - Cupertino CA, US
Rama Krishna Chitta - Milpitas CA, US
International Classification:
G01C 21/34
G06Q 30/02
G06F 17/30
Abstract:
Georeferenced transaction data is harvested (“crowd-sourced”) from client devices and sent to a network-based map service. The map service performs cluster analysis on location data points in the harvested data, resulting in one or more clusters representing local densities of transaction occurrences. Data vectors including supplemental data are obtained from one or more vendors. Location data points included in the data vectors are compared to center coordinates of the one or more clusters and the closest matching cluster/vector pair provides a mapping to POI data in a POI database. The mapped POI data is updated with the supplemental data. In some implementations, transaction timestamps in the harvested data are used to estimate the business hours of a business POI.

Possible Relatives

Donald R Luper  Heather M Luper  Jacob L Luper  James A Luper  Kevin L Luper  Robert S Luper  Brandon S Luper  David J Last  David K Stancil  David J Stancombe 

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