Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Recognition by Linear Combinations of Models
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
Human face recognition and the face image set's topology
CVGIP: Image Understanding
Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Probabilistic Visual Learning for Object Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Linear Object Classes and Image Synthesis From a Single Example Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature-Based Face Recognition Using Mixture-Distance
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Generalizing Capacity of Face Database for Face Recognition
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Journal of Cognitive Neuroscience
On the use of nearest feature line for speaker identification
Pattern Recognition Letters
A novel nearest feature space classifier for face recognition
ISPRA'06 Proceedings of the 5th WSEAS International Conference on Signal Processing, Robotics and Automation
Nearest Neighbor Convex Hull Classification Method for Face Recognition
ICCS 2009 Proceedings of the 9th International Conference on Computational Science
Direct sparse nearest feature classifier for face recognition
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part III
Credit risk evaluation with kernel-based affine subspace nearest points learning method
Expert Systems with Applications: An International Journal
A regularized correntropy framework for robust pattern recognition
Neural Computation
Joint dynamic sparse representation for multi-view face recognition
Pattern Recognition
Nonlinear nearest subspace classifier
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
K-local hyperplane distance nearest neighbor classifier oriented local discriminant analysis
Information Sciences: an International Journal
Pattern Recognition Letters
Feature Extraction Based on Maximum Nearest Subspace Margin Criterion
Neural Processing Letters
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This paper proposes a novel pattern classification approach, called the nearest linear combination (NLC) approach, for eigenface based face recognition. Assume that multiple prototypical vectors are available per class, each vector being a point in an eigenface space. A linear combination of prototypical vectors belonging to a face class is used to define a measure of distance from the query vector to the class, the measure being defined as the Euclidean distance from the query to the linear combination nearest to the query vector (hence NLC). This contrasts to the nearest neighbor (NN) classification where a query vector is compared with each prototypical vector individually. Using a linear combination of prototypical vectors, instead of each of them individually, extends the representational capacity of the prototypes by generalization through interpolation and extrapolation. Experiments show that it leads to better results than existing classification methods.