Publications

Found 22 results
Author Keyword Title [ Type(Asc)] Year
Filters: First Letter Of Keyword is M  [Clear All Filters]
Journal Article
Beszédes Á, Ferenc R, Gyimóthy T, Dolenc A, Karsisto K.  2003.  Survey of Code-size Reduction Methods. ACM Comput. Surv.. 35:223–267.
Beszédes Á, Ferenc R, Gyimóthy T, Dolenc A, Karsisto K.  2003.  Survey of Code-size Reduction Methods. ACM Comput. Surv.. 35:223–267.
Guest E., Berry E., Baldock R.A, Fidrich M., Smith M.A.  2001.  Robust point correspondence applied to two- and three-dimensional image registration. IEEE Transactions on Pattern Analysis and Machine Intelligence. 23:165-179.
Guest E., Berry E., Baldock R.A, Fidrich M., Smith M.A.  2001.  Robust point correspondence applied to two- and three-dimensional image registration. IEEE Transactions on Pattern Analysis and Machine Intelligence. 23:165-179.
Guest E., Berry E., Baldock R.A, Fidrich M., Smith M.A.  2001.  Robust point correspondence applied to two- and three-dimensional image registration. IEEE Transactions on Pattern Analysis and Machine Intelligence. 23:165-179.
Gyimóthy T, Horváth T..  1997.  Learning semantic functions of attribute grammars. Nordic J. of Computing. 4:287–302.
Quatrehomme G, Cotin S, Subsol G, Delingette H, Garidel Y, Grévin G, Fidrich M, Bailet P, Ollier A.  1997.  A Fully Three-Dimensional Method for Facial Reconstruction Based on Deformable Models. Journal of Forensic Sciences. 42:649-652.
Kicsi A, Csuvik V, Vidács L, Horváth F, Beszédes Á, Gyimóthy T, Kocsis F.  2019.  Feature Analysis using Information Retrieval, Community Detection and Structural Analysis Methods in Product Line Adoption. Journal of Systems and Software. 155:70-90.
Jiang X., Abegglen K., Bunke H., Csirik J.  2003.  Dynamic Computation of Generalised Median Strings. Pattern Anal. Appl.. 6:185–193.
Jiang X., Abegglen K., Bunke H., Csirik J.  2003.  Dynamic Computation of Generalised Median Strings. Pattern Anal. Appl.. 6:185–193.
Conference Paper
French M., Szepesvari C., Rogers E..  1997.  Uncertainty, performance, and model dependency in approximate adaptive nonlinear control. Proceedings of the 36th IEEE Conference on Decision and Control. 3:3046-3051vol.3.
French M., Szepesvari C., Rogers E..  1997.  Uncertainty, performance, and model dependency in approximate adaptive nonlinear control. Proceedings of the 36th IEEE Conference on Decision and Control. 3:3046-3051vol.3.
French M., Szepesvari C., Rogers E..  1997.  Uncertainty, performance, and model dependency in approximate adaptive nonlinear control. Proceedings of the 36th IEEE Conference on Decision and Control. 3:3046-3051vol.3.
French M., Szepesvari C., Rogers E..  1997.  Uncertainty, performance, and model dependency in approximate adaptive nonlinear control. Proceedings of the 36th IEEE Conference on Decision and Control. 3:3046-3051vol.3.
French M., Szepesvari C., Rogers E..  1997.  Uncertainty, performance, and model dependency in approximate adaptive nonlinear control. Proceedings of the 36th IEEE Conference on Decision and Control. 3:3046-3051vol.3.
Jenei B, Berend G, Varga L.  2019.  Proactive Minimization of Convolutional Networks. 2019 International Joint Conference on Neural Networks (IJCNN). :1-7.
Jenei B, Berend G, Varga L.  2019.  Proactive Minimization of Convolutional Networks. 2019 International Joint Conference on Neural Networks (IJCNN). :1-7.
Gosztolya G, Kocsor A.  2003.  Improving the Multi-stack Decoding Algorithm in a Segment-based Speech Recognizer. Proceedings of the 16th International Conference on Developments in Applied Artificial Intelligence. :744–749.
Eiben A.E, Jelasity M..  2002.  A critical note on experimental research methodology in EC. Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600). 1:582-587vol.1.
Csirik J., Johnson DS, Kenyon C.  2001.  Better approximation algorithms for bin covering. Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms. :557–566.
Book Chapter
Szepesvári C., Lörincz A..  1997.  Approximate Inverse-Dynamics based Robust Control using Static and Dynamic State Feedback. Applications of Neural Adaptive Control Technology. :151–197.