Neural computation and self-organizing maps: an introduction
Neural computation and self-organizing maps: an introduction
Self-organization as an iterative kernel smoothing process
Neural Computation
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear component analysis as a kernel eigenvalue problem
Neural Computation
A Unified Model for Probabilistic Principal Surfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Data visualisation and manifold mapping using the ViSOM
Neural Networks - New developments in self-organizing maps
Gabor-Based Kernel PCA with Fractional Power Polynomial Models for Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Using Laplacianfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Semi-supervised nonlinear dimensionality reduction
ICML '06 Proceedings of the 23rd international conference on Machine learning
Self-organizing learning array and its application to economic and financial problems
Information Sciences: an International Journal
A high performance edge detector based on fuzzy inference rules
Information Sciences: an International Journal
Kernel PCA for similarity invariant shape recognition
Neurocomputing
Kernel class-wise locality preserving projection
Information Sciences: an International Journal
A hybrid artificial immune system and Self Organising Map for network intrusion detection
Information Sciences: an International Journal
A unified framework for semi-supervised dimensionality reduction
Pattern Recognition
Adaptive quasiconformal kernel discriminant analysis
Neurocomputing
Color discrimination enhancement for dichromats using self-organizing color transformation
Information Sciences: an International Journal
A Novel Breast Tissue Density Classification Methodology
IEEE Transactions on Information Technology in Biomedicine
IEEE Transactions on Image Processing
Independent component analysis of Gabor features for face recognition
IEEE Transactions on Neural Networks
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Dimensionality reduction (DR) is a popular method in recognition and classification in many areas, such as facial and medical imaging. In this paper, we propose a novel supervised DR method namely Quasiconformal Kernel Common Locality Discriminant Analysis (QKCLDA). QKCLDA preserves the local and discriminative relationships of the data. Moreover, it adjusts the kernel structure according to the distribution of the input data and thus possesses a classification advantage over traditional kernel-based methods. In QKCLDA, the parameter of the quasiconformal kernel is automatically calculated through optimizing an objective function of maximizing the class discriminative ability. QKCLDA is employed in breast cancer diagnoses, and some experiments using Wisconsin Diagnostic Breast Cancer (WDBC) and mini-MIAS databases have tested its feasibility and performance in assigning these diagnoses.