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Title IX
“POOF: Part Based One-vs-One Features for Fine Grained Categorization, Face Verification, and Attribute Estimation” Thomas Berg and Peter Belhumeur CVPR.
Contributions A people dataset of 8035 images. Three layer attribute classification framework using poselets. 1 2.
Gender in Shakespeare using feature selection via Text Mining
How Social Media influence in purchasing decision of Buyer
1 Do Women Pay More for Credit? Evidence from Italy Alberto Alesina - Harvard University Francesca Lotti, Paolo E. Mistrulli Bank of Italy The views expressed.
SUPREME COURT OF THE UNITED STATES. 1)Jones v. Mayer – NO: There can be no discrimination in the buying and selling of property based on race. 2)Regents.
Gender Classification based on Facial information
GENDER DIMENSIONS Dr Lawrence Ikamari Population Studies and Research Institute University of Nairobi [email protected] 1.
FaceSurf_v1