Lior Wolf, an Israeli computer scientist and professor at Tel Aviv University. He holds a Ph. D. in 2003 from The Hebrew University of Jerusalem, and was postdoctoral researcher at Massachusetts Institute of Technology from 2003 to 2006. His research interests include computer vision, data analysis, object recognition such as face recognition, speech and speaker recognition, and deep learning. In 2016, along with Omid E. David and Nathan S. Netanyahu, he published on DeepChess.
Lior Wolf [1]

Selected Publications

• Thomas Serre, Lior Wolf, Tomaso Poggio (2005). Object Recognition with Features Inspired by Visual Cortex. CVPR 2005, pdf ^[3]
• Thomas Serre, Lior Wolf, Stanley Bileschi, Maximilian Riesenhuber, Tomaso Poggio (2007). Robust Object Recognition with Cortex-Like Mechanisms. IEEE Transactions on Pattern Analysis and Machine Intelligence, pdf
• Lior Wolf (2009). Face Recognition, Geometric vs. Appearance-Based. Encyclopedia of Biometrics, Springer
• Omid E. David, Nathan S. Netanyahu, Lior Wolf (2016). DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess. ICAAN 2016, Lecture Notes in Computer Science, Vol. 9887, Springer, pdf preprint » DeepChess ^{[4] [5]}

External Links

• Lior Wolf
• Lior Wolf | LinkedIn
• Lior Wolf - Google Scholar Citations

References

1. ^ Lior Wolf | LinkedIn
2. ^ DBLP: Lior Wolf
3. ^ Visual cortex from Wikipedia
4. ^ DeepChess: Another deep-learning based chess program by Matthew Lai, CCC, October 17, 2016
5. ^ ICANN 2016 | Recipients of the best paper awards

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