Sciweavers

IDEAL
2003
Springer
13 years 9 months ago
GMM Based on Local Fuzzy PCA for Speaker Identification
To reduce the high dimensionality required for training of feature vectors in speaker identification, we propose an efficient GMM based on local PCA with Fuzzy clustering. The prop...
JongJoo Lee, JaeYeol Rheem, Ki Yong Lee
KES
2005
Springer
13 years 10 months ago
Bayesian Validation of Fuzzy Clustering for Analysis of Yeast Cell Cycle Data
Clustering for the analysis of the gene expression profiles has been used for identifying the functions of the genes and of unknown genes. Since the genes usually belong to multipl...
Kyung-Joong Kim, Si-Ho Yoo, Sung-Bae Cho
SCCC
2005
IEEE
13 years 10 months ago
A geometric framework to visualize fuzzy-clustered data
— Fuzzy clustering methods have been widely used in many applications. These methods, including fuzzy k-means and Expectation Maximization, allow an object to be assigned to mult...
Yuanquan Zhang, Luis Rueda
ACIVS
2006
Springer
13 years 10 months ago
Alternative Fuzzy Clustering Algorithms with L1-Norm and Covariance Matrix
In fuzzy clustering, the fuzzy c-means (FCM) algorithm is the best known and most used method. Although FCM is a very useful method, it is sensitive to noise and outliers so that W...
Miin-Shen Yang, Wen-Liang Hung, Tsiung-Iou Chung
ISCC
2006
IEEE
129views Communications» more  ISCC 2006»
13 years 10 months ago
FACT: A New Fuzzy Adaptive Clustering Technique
Clustering belongs to the set of mathematical problems which aim at classification of data or objects into related sets or classes. Many different pattern clustering approaches bas...
Faezeh Ensan, Mohammad Hossien Yaghmaee, Ebrahim B...
FUZZIEEE
2007
IEEE
13 years 10 months ago
Prototype-less Fuzzy Clustering
Abstract—In contrast to standard fuzzy clustering, which optimizes a set of prototypes, one for each cluster, this paper studies fuzzy clustering without prototypes. Starting fro...
Christian Borgelt
ICPR
2008
IEEE
13 years 11 months ago
An extended version of the k-means method for overlapping clustering
This paper deals with overlapping clustering, a trade off between crisp and fuzzy clustering. It has been motivated by recent applications in various domains such as information r...
Guillaume Cleuziou
WILF
2009
Springer
487views Fuzzy Logic» more  WILF 2009»
14 years 3 months ago
A combined Fuzzy and Probabilistic data descriptor for distributed CBIR
With the wide diffusion of digital image acquisition devices, the cost of managing hundreds of digital images is quickly increasing. Currently, the main way to search digital ima...
Marco La Cascia, Marco Morana, Roberto Gallea
WILF
2009
Springer
791views Fuzzy Logic» more  WILF 2009»
14 years 3 months ago
Fuzzy C-Means Inspired Free Form Deformation Technique for Registration
This paper presents a novel method aimed to free form deformation function approximation for purpose of image registration. The method is currently feature-based. The algorithm i...
Edoardo Ardizzone, Orazio Gambino, Roberto Gallea,...
ICIAP
2009
ACM
14 years 3 months ago
Fuzzy Smoothed Composition of Local Mapping Transformations for Non-rigid Image Registration
This paper presents a novel method for medical image registration. The global transformation is obtained by composing affine transformations, which are recovered locally from giv...
Edoardo Ardizzone, Orazio Gambino, Roberto Gallea,...