Daniel W Pape, Age 79Lake Zurich, IL

Daniel Pape Phones & Addresses

Lake Zurich, IL

Portland, OR

2435 Moonlight Valley Ave, Henderson, NV 89044 (702) 361-2294

Las Vegas, NV

Lyons, IL

Bartlett, IL

Tacoma, WA

Lake Zurich, IL

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Mentions for Daniel W Pape

Daniel Pape resumes & CV records

Resumes

Daniel Pape Photo 46

Software Engineer Iv

Location:
182 Revetment Ln, Mount Pleasant, SC 29464
Industry:
Computer Software
Work:
ADP Dealer Services - Portland, Oregon Area since Feb 2013
Software Engineer IV
Self Employed since Apr 2007
Contractor
PayPal - San Jose, CA Aug 2012 - Oct 2012
Member of Technical Staff
X.commerce - San Jose, CA Apr 2011 - Aug 2012
Member of Technical Staff I, Software Engineer
PayPal - San Jose, CA Aug 2010 - Apr 2011
Staff Software Engineer
MongoNet Nov 2007 - Aug 2010
Senior Software Engineer
FlashFoto, Inc. Jul 2007 - Nov 2007
Engineering Team Lead
Paravue, Inc. Feb 2006 - Jun 2007
Engineering Team Lead
Mongonet, Inc. 2000 - 2006
Senior Software Engineer
University of Illinois at Urbana-Champaign 1996 - 2000
Research Programmer
Education:
University of Illinois at Urbana - Champaign 1997 - 2000
Master of Library & Information Studies, Masters, Information Science
Skills:
Agile Methodologies, Java, Perl, Software Development, C++, Scrum, Git, Continuous Integration, Scalability, Sql, Software Engineering, Computer Vision, Opencv, Bash, Image Processing, Cloud Computing, Algorithms, Linux
Languages:
English
Certifications:
Neural Networks and Deep Learning
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Structuring Machine Learning Projects
Convolutional Neural Networks
Daniel Pape Photo 47

Daniel Pape

Daniel Pape Photo 48

Daniel Pape

Daniel Pape Photo 49

Daniel Pape

Location:
United States
Daniel Pape Photo 50

Staff Software Engineer At Paypal

Location:
Portland, Oregon Area
Industry:
Computer Software

Publications & IP owners

Us Patents

Systems And Methods For Labeling And Characterization Of Connected Regions In A Binary Mask

US Patent:
2010015, Jun 24, 2010
Filed:
Oct 19, 2009
Appl. No.:
12/581324
Inventors:
Peter S. Klosterman - Piedmont CA, US
Daniel X. Pape - Portland OR, US
International Classification:
G06K 9/34
US Classification:
382180
Abstract:
Systems and methods, which is based on preprocessing of a binary image into runs of adjacent white pixels, rapidly labels the connected components of the binary image, calculates the ellipse parameters of the connected regions, identifies connected regions which are distant from known foreground regions, and identifies those pixels whose Euclidean distance from the input binary mask is between two thresholds. The execution time of the first phase, the scanning of the input image and identification of adjacent runs of white pixels, scales as the number of pixels, is CPU memory cache sensitive, and very simple. The execution time of the subsequent processing stages for the various components of the systems and methods scale as the number of runs of pixels, so in most cases, for large input images, is considerably faster than conventional processes, which scale as the number of pixels.

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