Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Yianni Attikiouzel"'
Autor:
Irina Emelyanova, K. Parker, Peter Robbins, Francis Mastaglia, Yianni Attikiouzel, N. Hicks, Lesley Cala, J. Kosek, J. Devenish, K. Michalak
Publikováno v:
Rivista di Neuroradiologia. 16:947-952
There seemed value in producing a software program that could assist those involved with the interpretation of cranial CT scans. Initially it was developed as a teaching and training tool to assist a user’s preliminary exposure to cranial CT, so me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70d4c6a85a14eeb6a9307966ededcf5d
https://doi.org/10.1177/197140090301600561
https://doi.org/10.1177/197140090301600561
Autor:
R. Chandrasekhar, Yianni Attikiouzel
Publikováno v:
IEE Proceedings - Science, Measurement and Technology. 147:408-413
A new, spatially isotropic, range-based, neighbourhood operator is described, and its use for extracting edge and texture information from mammograms is illustrated. It is an extension of an operator, first introduced by J.C. Russ (1990), and founded
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36ef80ff4c5ebf1103c5aeb06011c48a
https://doi.org/10.1049/ip-smt:20000853
https://doi.org/10.1049/ip-smt:20000853
Publikováno v:
IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews). 28:67-79
Five methods that generate multiple prototypes from labeled data are reviewed. Then we introduce a new sixth approach, which is a modification of Chang's (1974) method. We compare the six methods with two standard classifier designs: the 1-nearest pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2503ec34a889e20e30da78211fa7f4e2
https://doi.org/10.1109/5326.661091
https://doi.org/10.1109/5326.661091
Publikováno v:
Soft Computing - A Fusion of Foundations, Methodologies and Applications. 1:166-179
We study indices for choosing the correct number of components in a mixture of normal distributions. Previous studies have been confined to indices based wholly on probabilistic models. Viewing mixture decomposition as probabilistic clustering (where
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0160f25ddc9bce8f8864a202339738f5
https://doi.org/10.1007/s005000050019
https://doi.org/10.1007/s005000050019
Autor:
Krishna Kottathra, Yianni Attikiouzel
Publikováno v:
Journal of Network and Computer Applications. 19:135-147
We propose in this paper a novel prescriptive solution to decide the optimum number of neurons in the hidden-layer of multilayer feedforward neural networks. Our approach uses the unconstrained mixed integer nonlinear multicriteria optimization techn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc904cf3157231285ccf4b4bbc9bc7b2
https://doi.org/10.1006/jnca.1996.0011
https://doi.org/10.1006/jnca.1996.0011
Autor:
E H Mamdani, Lotfi A. Zadeh, Sie-Keng Tan, Bo Yuan, Philippe Smets, Didier Dubois, O.N. Garcia, Christian Freksa, Shaohua Tan, Enrique H. Ruspini, Mo Jamshidi, Ronald R. Yager, H.R. Berenji, B. Turksen, N. Vadiee, Francis Jeffry Pelletier, Pei-Zhuang Wang, Charles Elkan, Yianni Attikiouzel, George J. Klir, C.J.S. de Silva, B. Chandrasekaran, Henri Prade
Publikováno v:
IEEE Expert. 9:3-49
Fuzzy logic methods have been used successfully in many real-world applications, but the foundations of fuzzy logic remain under attack. Taken together, these two facts constitute a paradox. A second paradox is that almost all of the successful fuzzy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f719af476ca3abdf672bbaea922267d6
https://doi.org/10.1109/64.336150
https://doi.org/10.1109/64.336150
Publikováno v:
Pattern Recognition Letters. 13:331-338
This paper shows a certain equivalence between the 3-layer feed forward back-propagation neural net of Rumelhart et al. and the committee net of Nilsson. This is used to produce an improvement in the performance of the former. It is found that (a) th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cef0885447ae3f6f4fc485af0674237
https://doi.org/10.1016/0167-8655(92)90030-4
https://doi.org/10.1016/0167-8655(92)90030-4
Publikováno v:
Pattern Recognition Letters. 11:313-319
T. Kohonen has described an algorithm for fitting a k-dimensional grid of points to a set of points taken from a k-manifold in Rn, for k⩽n. The algorithm is inspired by a neural model and bears some of the marks of its ancestry. In this paper we sh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3422cf0f6023b48b7bf7ff1d91990c41
https://doi.org/10.1016/0167-8655(90)90040-9
https://doi.org/10.1016/0167-8655(90)90040-9