http://de.evo-art.org/index.php?action=history&feed=atom&title=Algorithm_evolution_for_face_recognition 2026-05-05T07:26:44Z Versionsgeschichte dieser Seite in de_evolutionary_art_org MediaWiki 1.27.4 http://de.evo-art.org/index.php?title=Algorithm_evolution_for_face_recognition&diff=1073&oldid=prev 2014-11-08T20:26:23Z

<p>Die Seite wurde neu angelegt: „Teller, A., Veloso, M.: Algorithm evolution for face recognition: what makes a picture difficult. In: IEEE International Conference on Evolutionary Computation…“</p> <p><b>Neue Seite</b></p><div>Teller, A., Veloso, M.: Algorithm evolution for face recognition: what makes a picture difficult. In: IEEE International Conference on Evolutionary Computation (1995).<br /> <br /> == Reference ==<br /> <br /> == DOI ==<br /> http://dx.doi.org/10.1109/ICEC.1995.487453 <br /> <br /> == Abstract ==<br /> One of the classic problems in computer vision is the face recognition problem. In general<br /> this problem can take on a wide variety of forms, but the most common face recognition problem<br /> is “Who is this a picture of?” Evolutionarycomputation has, in the past, been applied indirectlyto<br /> this problem through techniques like learning Neural Networks. This paper introduces a Genetic<br /> Programming style approach to learning algorithms that directly investigate face images and are<br /> coordinated into a face recognition system. Through a series of experiments, we will show that<br /> evolved algorithms can accomplish the face recognition task. We will also highlight several<br /> pitfalls and misconceptions surrounding face recognition as a learning problem.<br /> <br /> == Extended Abstract ==<br /> <br /> == Bibtex == <br /> <br /> == Used References ==<br /> D. Andre K. Kinnear Advances In Genetic Programming, pp.477 -494 1994 :MIT Press<br /> <br /> P. J. B. Hancock and L. S Smith H-P. Schwefel and R. Mãnner &quot;GANNET: Genetic design of a neural net for face recognition&quot;, Proceedings of the Conference on Parallel Problem Solving from Nature, 1991 http://dx.doi.org/10.1007/BFb0029766<br /> <br /> N. Intrator , D. Reisfeld and Y. Yeshurun &quot;Face recognition using a hybrid supervised/unsupervised neural network&quot;, Proceedings of the Face and Object Recognition Conference, 1995<br /> <br /> M. Johnson R. Brooks and P. Maes Artificial Life IV, 1994 :MIT Press<br /> <br /> J. Koza Genetic Programming II, 1994 :MIT Press<br /> <br /> T. Nguyen and T. Huang K. Kinnear Advances In Genetic Programming, 1994 :MIT Press<br /> <br /> D. Pomerleau Neural Network Perception for Mobile Robot Guidance, 1992<br /> <br /> J. Shufelt and T. Mitchell &quot;Personal correspondence&quot;, Carnegie Mellon University, 1995<br /> <br /> W. A. Tackett S. Forrest &quot;Genetic programming for feature discovery and image discrimination&quot;, Proceedings of the Fifth International Conference on Genetic Algorithms, 1993<br /> <br /> A. Teller K. Kinnear and P. Angeline Advances in Genetic Programming II, 1996 :MIT Press<br /> <br /> A. Teller and M. Veloso K. Ikeuchi and M. Veloso Symbolic Visual Learning, 1995 :Oxford University Press<br /> <br /> A. Teller and M. Veloso S. Louis The International Journal of Expert Systems. Third Quarter. Special Issue on Genetic Algorithms and Knowledge Bases, 1995 :JAI Press<br /> <br /> P. Viola &quot;Feature-based recognition of objects&quot;, AAAI FSS on Machine Learning in Computer Vision, 1993 <br /> <br /> <br /> <br /> == Links ==<br /> === Full Text === <br /> http://www.astroteller.net/pdf/IcecFinal.pdf<br /> <br /> [[intern file]]<br /> <br /> === Sonstige Links ===</div>

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