Result 1 to 20 from 158 total
PART neural networks in process of multidimensional data. (PART neurónové siete v spracovan\'{i} multidimenzionálnych dát.) (Slovak)
Černák, Igor (ed.) et al., IMEM 2009. Proceedings of the international congress on interdisciplinary relationships in the theory and practice of informatics, management, economics and mathematics, Spišská Kapitula, Slovakia, September 9‒11, 2009. Ružomberok: Catholic University in Ružomberok, Faculty of Education (ISBN 978-80-8084-471-4/pbk). 189-194, electronic only (2009).
1
A genetic clustering algorithm for data with non-sperical-shape clusters. (English)
Pattern Recognition 33, No. 7, 1251-1259 (2000).
2
The fuzzy c+2-means: Solving the ambiguity rejection in clustering. (English)
Pattern Recognition 33, No. 7, 1219-1237 (2000).
3
A new learning strategy for stereo matching derived from a fuzzy clustering method. (English)
Fuzzy Sets Syst. 110, No. 3, 413-427 (2000).
4
The architecture and performance of a stochastic competitive evolutionary neural tree network. (English)
Appl. Intell. 12, No. 1-2, 75-93 (2000).
5
Combining multiple classifiers by averaging or by multiplying? (English)
Pattern Recognition 33, No. 9, 1475-1485 (2000).
6
Genetic algorithm-based clustering technique. (English)
Pattern Recognition 33, No. 9, 1455-1465 (2000).
7
Growing a tree classifier with imprecise data. (English)
Pattern Recognit. Lett. 21, No. 9, 787-803 (2000).
8
Binary object representation and recognition using the Hilbert morphological skeleton transform. (English)
Pattern Recognition 33, No. 10, 1621-1636 (2000).
9
Wavelet coefficients clustering using morphological operations and pruned quadtrees. (English)
Pattern Recognition 33, No. 10, 1611-1620 (2000).
10
A comparison of cluster validity criteria for a mixture of normal distributed data. (English)
Pattern Recognit. Lett. 21, No. 6-7, 511-529 (2000).
11
Optical and sonar image classification: wavelet packet transform vs Fourier transform. (English)
Comput. Vis. Image Underst. 79, No. 1, 25-46 (2000).
12
The architecture and performance of a stochastic competitive evolutionary neural tree network. (English)
Appl. Intell. 12, No. 1-2, 75-93 (2000).
13
Gravitational clustering: a new approach based on the spatial distribution of the points. (English)
Pattern Recognition 32, No. 7, 1149-1160 (1999).
14
A new cluster-validity for fuzzy clustering. (English)
Pattern Recognition 32, No. 7, 1089-1097 (1999).
15
Cluster identification with parallel coordinates. (English)
Pattern Recognit. Lett. 20, No. 6, 565-572 (1999).
16
High-dimensional clustering using frequency sensitive competitive learning. (English)
Pattern Recognition 32, No. 2, 193-202 (1999).
17
On finding the number of clusters. (English)
Pattern Recognit. Lett. 20, No. 4, 405-416 (1999).
18
A neural-network-based approach to detecting hyperellipsoidal shells. (English)
Neural Process. Lett. 9, No. 3, 279-292 (1999).
19
Fuzzy clustering using a compensated fuzzy hopfield network. (English)
Neural Process. Lett. 10, No. 1, 35-48 (1999).
20
Result 1 to 20 from 158 total