A Multi-Architecture to Learn Vision Operators Agents Architecture to Learn Vision Operators Agents Architecture to Learn Vision Operators Agents Architecture to Learn Vision Operators and their Parameters and their Parameters and their Parameters and their Parameters
暂无分享,去创建一个
Mohammed Sadgal | Abdelaziz Elfazziki | Issam Qaffou | Département Informatique | M. Sadgal | D. Informatique | A. Elfazziki | Issam Qaffou
[1] Hamid R. Tizhoosh,et al. Application of reinforcement learning for segmentation of transrectal ultrasound images , 2008, BMC Medical Imaging.
[2] Olivier Buffet,et al. Apprentissage par renforcement dans un système multi-agents , 2000 .
[3] Ridha Touzi. Analyse d'images radar en teledetection : ameliorations radiometriques, filtrage du speckle et detection de contours , 1988 .
[4] Hélène Laurent,et al. Supervised evaluation of synthetic and real contour segmentation results , 2006, 2006 14th European Signal Processing Conference.
[5] Bernd Schneider,et al. Parameter Optimisation of an Image Processing System Using Evolutionary Algorithms , 1997, CAIP.
[6] Michael L. Littman,et al. Markov Games as a Framework for Multi-Agent Reinforcement Learning , 1994, ICML.
[7] Michael P. Wellman,et al. Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm , 1998, ICML.
[8] Peng-Yeng Yin,et al. Maximum entropy-based optimal threshold selection using deterministic reinforcement learning with controlled randomization , 2002, Signal Process..
[9] Edouard Duchesnay. Agents situés dans l'image et organisés en pyramide irrégulière: Contribution à la segmentation par une approche d'agrégation coopérative et adaptative. (Multi-agent system organized in an irregular Pyramid: Application for image segmentation) , 2001 .
[10] Robert M. Haralick,et al. Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..
[11] Olivier Monga,et al. Segmentation d'images naturelles : Coopération entre un détecteur-contour et un détecteur-région , 1987 .
[12] Nathalie Richard. Une approche située, coopérative et décentralisée pour l'interprétation d'images cérébrales par RMN , 2004 .
[13] John F. Canny,et al. A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Graham W. Taylor. A reinforcement learning framework for parameter control in computer vision applications , 2004, First Canadian Conference on Computer and Robot Vision, 2004. Proceedings..
[15] Laurence Germond. Trois principes de coopération pour la segmentation en imagerie de résonnance magnétique cérébrale. (Three principles of cooperation for the segmentation of magnetic resonance images of the brain) , 1999 .
[16] Bruce A. Draper,et al. ADORE: Adaptive Object Recognition , 1999, ICVS.
[17] Rachid Deriche. Fast Algorithms for Low-Level Vision , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[18] K. M. Curtis,et al. Machine parts classification based on a digital neural network , 1996, Proceedings of Third International Conference on Electronics, Circuits, and Systems.
[19] Hamid R. Tizhoosh,et al. Using reinforcement learning for image thresholding , 2003, CCECE 2003 - Canadian Conference on Electrical and Computer Engineering. Toward a Caring and Humane Technology (Cat. No.03CH37436).
[20] Peter Norvig,et al. Artificial Intelligence: A Modern Approach , 1995 .
[21] Catherine Garbay,et al. Multi-agent Approach for Image Processing: A Case Study for MRI Human Brain Scans Interpretation , 2003, AIME.
[22] Theodosios Pavlidis,et al. Integrating Region Growing and Edge Detection , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[23] Bir Bhanu,et al. Adaptive integrated image segmentation and object recognition , 2000, IEEE Trans. Syst. Man Cybern. Part C.
[24] Olivier Buffet,et al. Une double approche modulaire de l'apprentissage par renforcement pour des agents intelligents adaptatifs. (A Twofold Modular Approach of Reinforcement Learning for Adaptive Intelligent Agents) , 2003 .
[25] Edouard Duchesnay,et al. Cooperative agents society organized as an irregular pyramid: A mammography segmentation application , 2003, Pattern Recognit. Lett..