P
II
Tools Report
Object Details
Scan
HR files
Scan Type
s3
Location
pii-tools-public/resumes/david_cox_cv.pdf
Document Type
pdf
PII Severity
3-CRITICAL
Object Size
90918
PII Counts
Personal
name: 32
address: 1
phone: 3
email: 1
first_name: 2
last_name: 5
Medical
health: 1
PII Detected
Personal
name
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David Cox
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on Image Processing. 6. Bergstra J, Pinto N, Cox DD (2012) Machine Learning for
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Regression Trees. Innovative Parallel Computing. 7. Pinto N, Cox DD (2012) High-Throughput-Derived
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Recognition. Image and Vision Computing 30(3): 159-168. 8. Pinto N, Cox DD (2011) GPU Meta-programming
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Automated Face and Gesture Recognition. 11. Pinto N, Cox DD (2010) Evaluating the Invariance
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. Zoccolan, DF, Oertelt, N, DiCarlo, JJ,
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Academy of Sciences doi:10.1073/pnas. 0811583106 16. Pinto N, Doukhan D, DiCarlo JJ, and
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object recognition? Journal of Neurophysiology 102(1):360-76. 18. Pinto N, DiCarlo JJ, and Cox DD
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Computer Vision and Pattern Recognition 2009 19. Pinto N, DiCarlo JJ, Cox DD (2008) Establishing
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, Rubin D, Weber J (2008) Chemosensory Cues
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N*, Cox DD* (contributed equally), DiCarlo JJ. (2008) Why is Real World Object
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1223 25. DiCarlo JJ and Cox DD. (
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Lincoln Lab
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52 Oxford St. Northwest Laboratory, Room 219.40 Cambridge, MA 02138
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Curriculum Vitae | November 2013 Contact Information 52 Oxford St. Northwest Laboratory, Room 219.40 Cambridge, MA 02138 phone: (857) 209-4089 assistant: (617) 384-7328 fax: (617) 496-5425 email: davidcox
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ne: (857) 209-4089 assistant: (617) 384-7328 fax: (617) 496-5425 email:
[email protected]
www: http://coxla
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fax: (617) 496-5425 email:
[email protected]
www: http://coxlab.org Academic
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Lab
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” Harvard Vision Lab Seminar, Dept. of
Medical
health
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Presentations and Invited Lectures Neural Information Processing Systems Meeting, (2012) “Large-scale approaches to connectomics image analysis” MIT Lincoln Lab (2012) “Biologically-inspired approaches to computer vision” Janelia Farm (2012) “Scaling up biologically-inspired vision for connectomics” Google Research (2012) “High-throughput approaches to brain-inspired vision” Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, Vision Seminar (2012) “A rodent model for studying visual object recognition” Harvard Vision Lab Seminar, Dept. of Psychology (2012) “Biologically-inspired approaches to artificial face recognition” Johns Hopkins, Center for Imaging Science (2012) “Large-scale approaches to general-purpose machine vision” Johns Hopkins University, Dept. of Psych and Brain Sciences
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context:
Presentations and Invited Lectures Neural Information Processing Systems Meeting, (2012) “Large-scale approaches to connectomics image analysis” MIT Lincoln Lab (2012) “Biologically-inspired approaches to computer vision” Janelia Farm (2012) “Scaling up biologically-inspired vision for connectomics” Google Research (2012) “High-throughput approaches to brain-inspired vision” Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, Vision Seminar (2012) “A rodent model for studying visual object recognition” Harvard Vision Lab Seminar, Dept. of Psychology (2012) “Biologically-inspired approaches to artificial face recognition” Johns Hopkins, Center for Imaging Science (2012) “Large-scale approaches to general-purpose machine vision” Johns Hopkins University, Dept. of Psych and Brain Sciences
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