Duke University

Qiang Qiu

Guillermo Sapiro

Geraldine Dawson

Jordan Hashemi

Jeffrey Baker

Robert Calderbank

Kathleen Campbell

Helen Egger

Mariano Tepper

Alexander Bronstein

Kimberly Carpenter

Adrianne Harris

The subject matter described herein includes methods, systems, and computer readable media for automated behavioral assessment. According to one aspect, a method for automated behavioral assessment is provided. The method occurs at a computing platform including a processor and memory. The method includes providing at least one stimulus for eliciting a response from a user. The method also includes obtaining, using a camera or sensor communicatively coupled to the computing platform, the at least one response. The method also includes determining, using the at least one response, a behavioral assessment associated with the user.

Methods, systems, and computer readable media for automated behavioral assessment

Methods and systems for large-scale face recognition. The system includes an electronic processor to receive at least one image of a subject of interest and apply at least one subspace model as a splitting binary decision function on the at least one image of the subject of interest. The electronic processor is further configured to generate at least one binary code from the at least one splitting binary decision function. The electronic processor is further configured to apply a code aggregation model to combine the at least one binary codes generated by the at least one subspace model. The electronic processor is further configured to generate an aggregated binary code from the code aggregation model and use the aggregated binary code to provide a hashing scheme.

Systems and methods for large scale face identification and verification

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Durham, NC, United States of America

Qiang Qiu