| C02-1074 | selected in k-NNFP ; the k in | k-NNFP | was set to 20 in our experiments |
| C02-1074 | nearest neighbors selected in | k-NNFP | ; the k in k-NNFP was set to |
| C02-1074 | Projection ( k-NNFP ) Algorithm The | k-NNFP | is a variant of k-NN method . |
| C02-1074 | Neighbor on Feature Projections ( | k-NNFP | ) . In this approach , the classification |
| C02-1074 | Section 1 simply presents k-NN and | k-NNFP | algorithm . Section 2 explains |
| C02-1074 | speeding classification such as | k-NNFP | and k-NN with reduction . In |
| C02-1074 | , we simply describe k-NN and | k-NNFP | algorithm . 1.1 k-NN Algorithm |
| C02-1074 | presents conclusions . 1 . k-NN and | k-NNFP | Algorithm In this section , we |
| C02-1074 | Neighbor on Feature Projection ( | k-NNFP | ) Algorithm The k-NNFP is a variant |
