5 papers:
DHM-EH-2015-BoZDYWF #hybrid #kernel #performance #recognition #using- Hybrid BFO-PSO and Kernel FCM for the Recognition of Pilot Performance Influenced by Simulator Movement Using Diffusion Maps (JB, YBZ, LD, BTY, QW, SF), pp. 239–247.
ICPR-2008-WangWCW #algorithm #clustering #learning- A clustering algorithm combine the FCM algorithm with supervised learning normal mixture model (WW, CW, XC, AW), pp. 1–4.
- ICPR-v3-2004-HuangL #image
- Improving MMI with Enhanced-FCM for the Fusion of Brain MR and SPECT Images (CHH, JDL), pp. 562–565.
- ICPR-v1-2002-CucchiaraGPSP #clustering #recursion
- Building the Topological Tree by Recursive FCM Color Clustering (RC, CG, AP, SS, GP), pp. 759–762.
HPCA-2001-GoemanVB #difference #performance #predict- Differential FCM: Increasing Value Prediction Accuracy by Improving Table Usage Efficiency (BG, HV, KDB), pp. 207–216.
