WebBiography. Professor Jiangang Jim Dai is the Leon C. Welch Professor of Engineering in the School of Operations Research and Information Engineering, Cornell University. He is also the Dean of School of Data Science, Chinese University of Hong Kong, Shenzhen. Prior joining Cornell in 2012, Professor Dai held the Chandler Family Chair of ... WebThe CUHK Face Sketch FERET (CUFSF) is a dataset for research on face sketch synthesis and face sketch recognition. It contains two types of face images: photo and sketch. Total 1,194 images (one image per subject) were collected with lighting variations from the FERET dataset. For each subject, a sketch is drawn with shape exaggeration.
Image and Video Processing Laboratory
WebCUHK Face Sketch database (CUFS) is for research on face sketch synthesis and face sketch recognition. It includes 188 faces from the Chinese University of Hong Kong (CUHK) student database, 123 faces from the AR database [1], and 295 faces from the XM2VTS database [2]. There are 606 faces in total. For each face, there is a sketch drawn by an … WebPermission is hereby granted, without written agreement and without license or royalty fees, to use, copy, and distribute this database (the images, the results, and the source files) and its documentation for non-commercial research and educational purposes only, provided that the copyright notice in its entirety appear in all copies of this ... msr605 free download for windows
Richard Cornelius Suwandi - Research Assistant
WebLearn how to properly and efficiently find, utilize, evaluate, legally share and create content using digital technologies. WebSpeaker: Dr. Gen Li. Details: Abstract: Reinforcement learning (RL) is frequently modeled as learning and decision making in a Markov decision process (MDP). A core objective of RL is to search for a policy-based on a collection of noisy data samples-that approximately maximizes expected cumulative rewards in an MDP, without direct access to a ... WebResearch Data Service. The Chinese University of Hong Kong Library. (+852) 3943 0821. [email protected]. msr605 software download mac