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MLMTA
2003
13 years 6 months ago
Improved Experimental Results Using Fuzzy Lattice Neurocomputing (FLN) Classifiers
— This work shows comparatively the capacity of five Fuzzy Lattice Neurocomputing (FLN) classifiers. The mechanics of the five classifiers are illustrated geometrically on the pl...
Al Cripps, Vassilis G. Kaburlasos, Nghiep Nguyen, ...
IFSA
2003
Springer
89views Fuzzy Logic» more  IFSA 2003»
13 years 10 months ago
Lattice Fuzzy Signal Operators and Generalized Image Gradients
In this paper we use concepts from the lattice-based theory of morphological operators and fuzzy sets to develop generalized lattice image operators that are nonlinear convolutions...
Petros Maragos, Vassilis Tzouvaras, Giorgos B. Sta...
COLING
2008
13 years 6 months ago
Word Lattice Reranking for Chinese Word Segmentation and Part-of-Speech Tagging
In this paper, we describe a new reranking strategy named word lattice reranking, for the task of joint Chinese word segmentation and part-of-speech (POS) tagging. As a derivation...
Wenbin Jiang, Haitao Mi, Qun Liu
JIFS
2008
155views more  JIFS 2008»
13 years 4 months ago
Improving supervised learning performance by using fuzzy clustering method to select training data
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
PRL
2006
94views more  PRL 2006»
13 years 4 months ago
Improving visual evoked potential feature classification for person recognition using PCA and normalization
In earlier papers, it was shown that recognizing persons using their brain patterns evoked during visual stimulus is possible. In this paper, several modifications are proposed to...
Ramaswamy Palaniappan, K. V. R. Ravi