Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Discriminant Adaptive Nearest Neighbor Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear component analysis as a kernel eigenvalue problem
Neural Computation
Machine Learning
Diffusion Kernels on Graphs and Other Discrete Input Spaces
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
Kernels for Semi-Structured Data
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Laplacian Eigenmaps for dimensionality reduction and data representation
Neural Computation
Text classification using string kernels
The Journal of Machine Learning Research
Think globally, fit locally: unsupervised learning of low dimensional manifolds
The Journal of Machine Learning Research
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
A survey of kernels for structured data
ACM SIGKDD Explorations Newsletter
Convex Optimization
A kernel view of the dimensionality reduction of manifolds
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Generalized Discriminant Analysis Using a Kernel Approach
Neural Computation
Cluster Analysis
Learning semantic categories for 3D model retrieval
Proceedings of the international workshop on Workshop on multimedia information retrieval
Projection Pursuit Constructive Neural Networks Based on Quality of Projected Clusters
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
Ranking on semantic manifold for shape-based 3d model retrieval
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Local Fisher Discriminant Component Hashing for Fast Nearest Neighbor Classification
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Variational Graph Embedding for Globally and Locally Consistent Feature Extraction
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Linear boundary discriminant analysis
Pattern Recognition
Graph embedding with constraints
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Hierarchical Multi-view Fisher Discriminant Analysis
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
A new discriminant analysis based on boundary/non-boundary pattern separation
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Biased discriminant euclidean embedding for content-based image retrieval
IEEE Transactions on Image Processing
Semi-supervised local fisher discriminant analysis for dimensionality reduction
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Generalized iterative RELIEF for supervised distance metric learning
Pattern Recognition
Semi-supervised learning with varifold Laplacians
Neurocomputing
Supervised learning of local projection kernels
Neurocomputing
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Biologically inspired feature manifold for scene classification
IEEE Transactions on Image Processing
Automatic detection and recognition of Korean text in outdoor signboard images
Pattern Recognition Letters
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence
The Journal of Machine Learning Research
Artificial Intelligence Review
Robust head pose estimation using supervised manifold learning
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Distance metric learning by minimal distance maximization
Pattern Recognition
Canonical correlation analysis using within-class coupling
Pattern Recognition Letters
Linear discriminant analysis for signatures
IEEE Transactions on Neural Networks
Nearest hit-misses component analysis for supervised metric learning
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
Expert Systems with Applications: An International Journal
Investigation of supervised dimensionality reduction methods for phonetic classification
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
Efficient lp-norm multiple feature metric learning for image categorization
Proceedings of the 20th ACM international conference on Information and knowledge management
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Bilinear deep learning for image classification
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Improved incremental orthogonal centroid algorithm for visualising pipeline sensor datasets
IVIC'11 Proceedings of the Second international conference on Visual informatics: sustaining research and innovations - Volume Part I
Nearest-neighbor classifier motivated marginal discriminant projections for face recognition
Frontiers of Computer Science in China
Robust linearly optimized discriminant analysis
Neurocomputing
Fast neighborhood component analysis
Neurocomputing
Subclass-Oriented dimension reduction with constraint transformation and manifold regularization
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Head pose estimation based on manifold embedding and distance metric learning
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Gene Classification Using Parameter-Free Semi-Supervised Manifold Learning
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Dimensionality reduction via compressive sensing
Pattern Recognition Letters
Enhanced fisher discriminant criterion for image recognition
Pattern Recognition
Face recognition using Elasticfaces
Pattern Recognition
Enhanced semi-supervised local Fisher discriminant analysis for face recognition
Future Generation Computer Systems
A boosting approach for supervised Mahalanobis distance metric learning
Pattern Recognition
Maxi-Min discriminant analysis via online learning
Neural Networks
Towards collaborative feature extraction for face recognition
Natural Computing: an international journal
Self-adaptive local Fisher discriminant analysis for semi-supervised image recognition
International Journal of Biometrics
Generalized locality preserving Maxi-Min Margin Machine
Neural Networks
Orthogonal support vector machine for credit scoring
Engineering Applications of Artificial Intelligence
Improving image distance metric learning by embedding semantic relations
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
Multiple kernel local Fisher discriminant analysis for face recognition
Signal Processing
Dimensionality reduction-based spoken emotion recognition
Multimedia Tools and Applications
Local discriminative distance metrics ensemble learning
Pattern Recognition
Using the idea of the sparse representation to perform coarse-to-fine face recognition
Information Sciences: an International Journal
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Discriminant and adaptive extensions to local temporal common spatial patterns
Pattern Recognition Letters
Exploiting socially-generated side information in dimensionality reduction
Proceedings of the 2nd international workshop on Socially-aware multimedia
Local fisher discriminant analysis with locally linear embedding affinity matrix
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
Global plus local: A complete framework for feature extraction and recognition
Pattern Recognition
Constrained instance clustering in multi-instance multi-label learning
Pattern Recognition Letters
Expert Systems with Applications: An International Journal
Learning bilinear model for matching queries and documents
The Journal of Machine Learning Research
Benchmarking local classification methods
Computational Statistics
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Reducing the dimensionality of data without losing intrinsic information is an important preprocessing step in high-dimensional data analysis. Fisher discriminant analysis (FDA) is a traditional technique for supervised dimensionality reduction, but it tends to give undesired results if samples in a class are multimodal. An unsupervised dimensionality reduction method called locality-preserving projection (LPP) can work well with multimodal data due to its locality preserving property. However, since LPP does not take the label information into account, it is not necessarily useful in supervised learning scenarios. In this paper, we propose a new linear supervised dimensionality reduction method called local Fisher discriminant analysis (LFDA), which effectively combines the ideas of FDA and LPP. LFDA has an analytic form of the embedding transformation and the solution can be easily computed just by solving a generalized eigenvalue problem. We demonstrate the practical usefulness and high scalability of the LFDA method in data visualization and classification tasks through extensive simulation studies. We also show that LFDA can be extended to non-linear dimensionality reduction scenarios by applying the kernel trick.