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MLDM
2009
Springer
15 years 6 months ago
Selection of Subsets of Ordered Features in Machine Learning
The new approach of relevant feature selection in machine learning is proposed for the case of ordered features. Feature selection and regularization of decision rule are combined ...
Oleg Seredin, Andrey Kopylov, Vadim Mottl
ECOOP
1997
Springer
15 years 5 months ago
Feature-Oriented Programming: A Fresh Look at Objects
We propose a new model for exible composition of objects et of features. Features are similar to (abstract) subclasses, but only provide the core functionality of a (sub)class. Ove...
Christian Prehofer
ANNPR
2008
Springer
15 years 3 months ago
Patch Relational Neural Gas - Clustering of Huge Dissimilarity Datasets
Clustering constitutes an ubiquitous problem when dealing with huge data sets for data compression, visualization, or preprocessing. Prototype-based neural methods such as neural g...
Alexander Hasenfuss, Barbara Hammer, Fabrice Rossi
TNN
1998
111views more  TNN 1998»
15 years 1 months ago
Modular recurrent neural networks for Mandarin syllable recognition
Abstract—A new modular recurrent neural network (MRNN)based speech-recognition method that can recognize the entire vocabulary of 1280 highly confusable Mandarin syllables is pro...
Sin-Horng Chen, Yuan-Fu Liao
PG
2002
IEEE
15 years 6 months ago
Texture Mapping with a Jacobian-Based Spatially-Variant Filter
In this paper, we describe a new method to map a texture on a surface with a spatially-variant filter. Our filter takes into consideration the effects of anisotropy using a Jaco...
Ke Deng, Jingdan Zhang, Lifeng Wang, Baining Guo