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» On Quality of Quality Measures for Classification
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3DIM
2003
IEEE
15 years 10 months ago
Surflet-Pair-Relation Histograms: A Statistical 3D-Shape Representation for Rapid Classification
A statistical representation of three-dimensional shapes is introduced, based on a novel four-dimensional feature. The feature parameterizes the intrinsic geometrical relation of ...
Eric Wahl, Ulrich Hillenbrand, Gerd Hirzinger
ICONIP
2008
15 years 8 months ago
Frost Prediction Characteristics and Classification Using Computational Neural Networks
The effect of frost on the successful growth and quality of crops is well understood by growers as leading potentially to total harvest failure. Studying the frost phenomenon, espe...
Philip Sallis, Mary Carmen Jarur Muñoz, Mar...
ESANN
2001
15 years 8 months ago
Applications of neuro-fuzzy classification, evaluation and forecasting techniques in agriculture
Aim of the present article is to show the results obtained from the application of neuro-fuzzy methodology in the solution of agriculture problems like the Bactrocera Oleae (olive...
Elena Bellei, Diego Guidotti, Ruggero Petacchi, Le...
INFORMATICALT
2000
197views more  INFORMATICALT 2000»
15 years 6 months ago
Fingerprint Pre-Classification Using Ridge Density
Fingerprint ridge frequency is a global feature, which is most prominently different in fingerprints of men and woman, and it also changes within the maturing period of a person. T...
Algimantas Malickas, Rimantas Vitkus
ICASSP
2011
IEEE
14 years 10 months ago
Continuous F0 in the source-excitation generation for HMM-based TTS: Do we need voiced/unvoiced classification?
Most HMM-based TTS systems use a hard voiced/unvoiced classification to produce a discontinuous F0 signal which is used for the generation of the source-excitation. When a mixed ...
Javier Latorre, Mark J. F. Gales, Sabine Buchholz,...