Aspecte ale fuziunii informaţiei prelucrate numeric

Authors

  • Cornel BARNA „Aurel Vlaicu” University of Arad

Abstract

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Author Biography

Cornel BARNA, „Aurel Vlaicu” University of Arad

Engineering Faculty

References

[Abd98] N.Abdolhossein, I.Ciric: Novel image fusion methodology using fuzzy set theory, Optical Eng. Vol.37 nr.2 1998

[Ach00] B.Achermann, H.Bunke: Classifying Range Images of Human Faces with Hausdorff Distance, Inter’l Conf. On Pattern Recognition 2000

[Alk02] F.Alkoot, J.Kittler: Modified product fusion, Pattern Recognition Letters Vol 23,Nr.8 2002

[Apo04] D.Apostol, C.Barna: Navigatio Robot, Final Paper UAV Arad 2004

[Ari03] M.Arif,N.Vincent: Comparison of Three Data Fusion Methods for an Offline Signature Verification Problem, Vol Univ.Tour 2003

[Ayc97] O.Aycard, F.Charpillet&co: A new approach to design fuzzy controllers for mobile robots navigation, IEEE CIRA 1997.

[Bak01] D.Bakken, C.Jones&co: Middleware Support for Voting and Data Fusion, Inter’l Conf. On Dependable System 2001.

[Bal04] V.Balas: Senzori inteligenţi cu model intern şi fuziune fuzzy, Ed.Politehnica 2004.

[Bar04b] C.Barna, S.,V.Balas: The Estimation of vegetation stage of greenhouse plants by fuzzy fusioned sensors of images and CO2, Sesiunea de comunicari Arad 2004

[Bas97] A.Bastiere: Fusion methods for multisensor classification of airborne targets, AerospaceScience and Technology nr1 1997

[Bea03] M.Beal, N.Jojic: A Grafical Model for Audiovisual Object Traching, IEEE Transaction on Pattern Anal. Vol25/7 2003

[Bis97a] P.Bison,G.Chemello&co: A Possibilistic Approach to Sensor fusion in Mobile Robotics, IEEE EUROBOT 1997

[Bis97b] P.Bison,G.Chemello&co: Logic-Based Sensor Fusion for Localization, IEEE CIRA 1997

[Bor99] H.Borotschnig, L.Paletta&co: A Comparison of Probabilistic, Possibilistic and Evidence Theoretic Fusion Schemes for Active Object Recognition, Computing nr.62 1999

[Ciu82] G.Ciucu, V.Craiu: Statistică matematică şi cercetare operaţională, Ed.didactică 1982

[Cho00] L.Cholvy: Applying Theory of Evidence in multisensor data fusion: a logical interpretation, IPMU 2000

[Cho04] L.Cholvy: Information Evaluation in fusion:a case study, IPMU Perugia 2004

[Cop03] G.Coppin, A.Skrzyniarz: Human-Centered Processes Individual and Distributed Decision Support, IEEE Intelligent system nr.4 2003

[Dub94] D.Dubois, H.Prade: La fusion d’informations imprecises, Traitement du signal Vol.11 nr.6 ,1994

[Dub00] D.Dubois, H.Prade: Possibility Theory in Information Fusion ISIF 2000, pag.6-19

[Dub00a] D.Dubois, H.Prade: Fundamentals of fuzzy sets ,Ed. Kluwerm Academic Publishers, 2000

[Duj98] C.Dujet: Data Fusion Modeling Human Behavior, Inter’l Journal of Intelligent Systems Vol.13 1998

[Gul99] D.Guliato, R.Rangayyan&co: Fuzzy Fusion of Results of Medical Image Segmentation , EISA Vol.3 1999

[Gun01] A.Gunatilaka, B.Baertlein: Feature-Level and Decision- Level Fusion of Noncoincidently Sampled Sensors for Land Mine Detection, IEEE Transactions on Pattern Vol23 nr.6 2001

[Gut04] J.Gutierrez, J.Rouas&co: Application of Uncertainty-Based Methods to Fuse Language Identification Expert Decisions , IPMU 2004

[Hou94] S.Houzelle, G.Giraudon: Contribution to multisensor fusion formalization, Robotics and Autonomous Systems Vol.13 nr.1 Elsevier 1994

[Hun04] A.Hunter, W.Liu: Logical reasoning with multiple granularities of uncertainty in semi-structured information , IPMU 2004

[Kar02] B.Karlsson, J.Jarrhed, P.Wide: A Fuzion Toolbox for Sensor Data Fusion in Industrial Recycling, IEEE Transactions on Instrumentation Vol.51 nr.1 2002

[Kit98] J.Kittler, M.Hater&co: On Combining Classifiers, IEEE Transaction on Pattern Analysis Vol.20,nr.3 1998

[Kob04] F.Kobayashi, D.Masumoto: Sensor Selection based on Fuzzy Inference for Sensor Fusion IEEE ICFS 2004

[Kun02] L.Kuncheva: A Theoretical Study on Classifier Fision Strategies, IEEE Transact. Pattern Analysis Vol.24,nr.2 2002

[Loy02] G.Loy, L.Fletcher&co: An Adaptive Fusion Arhitecture for Target Tracking IEEE Inter’l Conf.onFace Recognition 2002

[Mak03] A.Makarenko, T.Kaupp: Scalable Human-Robot Interactions in Active Sensor Networks, IEEE PervasiveComputing 2003

[Mur98] R.Murphy: Sensor and Information Fusion for Improved Vision-Based Vehicle Guidance., IEEE Intelligent System Nr.6 1998

[Neg02] M.Negnevitsky: Artificial Intelligence Ed.Addison-Wesley London 2002

[Nel00] B.Nelson: Region of Interest Identification, Feature Extraction, and Informa-tion Fuzion in a Forward Looking Infrared Sensor Used in Landmine Detection, IEEE 2000

[Ngu98] H.Nguyen, M.Sugeno: Fuzzy Systems – Modeling and Control, Ed. Kluwerm Academic Publishers, 1998

[Par00] C.Park, H.Kim: Sensor Fusion for Motion Capture System Based on System Identification IEEE CA2000

[Pie04] W.Pieczynski: Unsupervised Dempster-Shafer Fusion of Dependent Sensore IEEE ICFS 2004

[Rat 97] J.Ratches, C.Walters&co: Aided and automatic Target Recognition Based UponSensory Input from Image Forming System, IEEE Transact. Pattern Analysis Vol.19,nr.9 1997

[Rez04] L.Reznik, V.Kreinovich: Fuzzy and Probabilistic Models of Association Information inSensor Networks,IEEE ICFS 2004

[Rou95] L.Roux,J.Desachy: Information fusion for supervised classification in a satellite image, IEEE 1995

[Rui00] J.Ruiz, A.Soria: Bio-inspired Framework for the Fusion of Cromatic, Infrared and Texture Information, ICPR 2000

[Sch00] P.Scheunders: Multispectral Image Fusion using Local Mapping Techniques, Pattern Recognition ICPR 2000

[Sha02] G.Shakhnarovich, T.Darrell: On Probabibistic Combination of Face and Gain Cues for Identification, IEEE FGR 2002

[She01] J.Sherrah, S.Gong: Continuous Global Evidence-Based Bayesian Modality Fusion for Simultaneous Traking of Multiple Objects, IEEE Inter’l Conf. Computer Vision 2001

[Shu02] L.Shutao, J.Kwok,Y.Wang: Multifocus image fusion using artificial neural network, Pattern Recognition Vol23nr8 2002

[Sil03] S.Silvasan, C.Barna: Detectarea si urmarirea miscarii Proiect diploma UAV Arad 2003

[Sin04] H.Singh, J.Raj&co: Image Fuzion using Fuzzy Logic and Applications, ICFS Budapest 2004

[Spi03] T.Spircu: Raţionametul aproximativ din punct de vedere probabilist, posibilist, credibilist, vag, Şc.vara Arad 2003

[Tho90] S.Thomopoulos: Sensor Integration and Data Fusion, Journal of Robotic System 7(3) 1990, pag.337-372

[Tre95] M.Tremblay, M.Cutkosky: Using Sensor Fusion and Contex- tual Information to Perform Event Detection during a Phase-Based Manipulation Task, Inter’l Intelligent Robots 1995

[Yag97] R.Yager: A General approach to the Fusion of Imprecise Information, Inter’l Journal of Intelligent system Vol.12 1997

[Yen96] J.Yen, N.Pfluger: A fuzzy Logic Based Extension to Pyton and Rosenblatt’s Command Fusion Method for Mobile Robot Navigation, IEEE Transactions on Systems, Vol.25,nr.6 1996

[Yif97] Z.Yifeng, H.Leung: Minimum Entropy for Multisensor Data Fusion, Signal Processing Workshop 1997

[Zad78] L.Zadeh: Fuzzy Sets as a Basic for a Theory of Possibility, Fuzzy Sets and Systems, Ed.North-Holland Publishing 1978

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Published

2015-03-11