12 papers:
SAC-2013-FazioR #comparison #network- Spatial interpolation: an analytical comparison between kriging and RBF networks (VSF, MR), pp. 2–7.
ICDAR-2011-HaddadHKA #adaptation #network #online #recognition #using- Improvement of On-line Recognition Systems Using a RBF-Neural Network Based Writer Adaptation Module (LH, TMH, MK, AMA), pp. 284–288.
ICPR-2010-TurkerKG #classification #image #network #using- Classification of Polarimetric SAR Images Using Evolutionary RBF Networks (TI, SK, MG), pp. 4324–4327.
DHM-2007-WangYHWJJLZ #classification #hybrid- A Hybrid AB-RBF Classifier for Surface Electromyography Classification (RW, YY, XH, FW, DJ, XJ, FL, JZ), pp. 727–735.
ICEIS-v2-2005-MiT #recognition- Improvement on the Individual Recognition System with Writing Pressure based on RBF (LM, FT), pp. 157–162.
ICPR-v3-2004-ShiNGY #classification #learning- Critical Vector Learning to Construct RBF Classifiers (DS, GSN, JG, DSY), pp. 359–362.
ICPR-v4-2004-OliveiraNM #parametricity #performance #recognition- Improving RBF-DDA Performance on Optical Character Recognition through Parameter Selection (ALIO, FBdLN, SRdLM), pp. 625–628.
ICPR-v2-2002-HuangT #classification #fault #pattern matching #pattern recognition #recognition- An RBF-Based Pattern Recognition Method by Competitively Reducing Classification-Oriented Error (YSH, YHT), pp. 180–183.
ICPR-v2-2002-TohM #approach #learning #network- A Global Transformation Approach to RBF Neural Network Learning (KAT, KZM), pp. 96–99.
ICPR-v2-2000-LiuG #network- Outlier Rejection with MLPs and Variants of RBF Networks (JL, PDG), pp. 2680–2683.
ICPR-1996-KunchevaH #network- An RBF network with tunable function shape (LK, STH), pp. 645–649.
ICPR-1996-LeonardisB #adaptation #complexity #network #optimisation- Complexity optimization of adaptive RBF networks (TL, HB), pp. 654–658.