Papers

With Tag: Learning Artificial Intelligence

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A comparison between recurrent neural network architectures for digital equalization

Mikel L Forcada, Jorge D Ortizfuentes
1997 | 10.1109/ICASSP.1997.595494

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Totally-corrective boosting using continuous-valued weak learners

Jiwei Hu, Kinman Lam, Sanyuan Zhao, Chensheng Sun
2012 | 10.1109/ICASSP.2012.6288312

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Learning varying dimension radial basis functions for deformable image alignment

Hongdong Li, Di Yang
2009 | 10.1109/ICCVW.2009.5457681

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Wormholes in shape space: tracking through discontinuous changes in shape

David Hogg, Tony Heap
1998 | 10.1109/ICCV.1998.710741

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Object detection by joint features based on two-stage boosting

Hironobu Fujiyoshi, Tomokazu Mitsui
2009 | 10.1109/ICCVW.2009.5457478

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The power of comparative reasoning

Jay Yagnik, Dennis Strelow, Rueisung Lin, David A Ross
2011 | 10.1109/ICCV.2011.6126527

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Optical flow estimation using learned sparse model

Kui Jia, Xiaogang Wang, Xiaoou Tang
2011 | 10.1109/ICCV.2011.6126522

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Hunting Nessie - Real-time abnormality detection from webcams

Helmut Grabner, Michael D Breitenstein, Luc Van Gool
2009 | 10.1109/ICCVW.2009.5457468

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Alternating Regression Forests for Object Detection and Pose Estimation

Peter M Roth, Samuel Schulter, Horst Bischof, Paul Wohlhart, Christian Leistner
2013 | 10.1109/ICCV.2013.59

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Human motion segmentation and object recognition using fuzzy rules

J E Hunter
2005 | 10.1109/ROMAN.2005.1513781

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Goal assignment through reinforcement and task embedding

Yuichiro Anzai, Chan Namkiu
1996 | 10.1109/ROMAN.1996.568745

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Linear discriminant analysis for face recognition

R Djeradi, Fatma Zohra Chelali, Amar Djeradi
2009 | 10.1109/MMCS.2009.5256630

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System Evolution for Unknown Context through Multi-action Evaluation

Vladimir Getov, Asanga Nimalasena
2013 | 10.1109/COMPSACW.2013.43

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Multiple-Instance learning from multiple perspectives: Combining models for Multiple-Instance learning

Wei Wang, Bang Zhang, Yang Wang
2012 | 10.1109/WACV.2012.6163044

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Optimum multi-user signal detector in SSMA communication systems based on neural networks

Frank Ibikunle
1998 | 10.1109/ISSSTA.1998.722502

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An evolutionary algorithm for multi-robot unsupervised learning

Philippe Lucidarme
2004 | 10.1109/CEC.2004.1331171

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Learning based gaits evolution for an AIBO dog

Jiaqi Zhang, Qijun Chen
2007 | 10.1109/CEC.2007.4424653

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GP-based kernel evolution for L 2 -Regularization Networks

Aurelio Uncini, Danilo Comminiello, Michele Scarpiniti, Simone Scardapane
2014 | 10.1109/CEC.2014.6900389

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Pattern-based preservation of building blocks in genetic algorithms

Yoshitaka Kameya, Chativit Prayoonsri
2011 | 10.1109/CEC.2011.5949939

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A hybrid global/local optimization technique for robust training of microwave neural network models

Hiroshi Ninomiya
2009 | 10.1109/CEC.2009.4983315

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