STOC '87 Proceedings of the nineteenth annual ACM symposium on Theory of computing
Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Teachability in computational learning
New Generation Computing - Selected papers from the international workshop on algorithmic learning theory,1990
COLT '91 Proceedings of the fourth annual workshop on Computational learning theory
A computational model of teaching
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Being taught can be faster than asking questions
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
DNF—if you can't learn'em, teach'em: an interactive model of teaching
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Journal of Computer and System Sciences
Probabilistic Visual Learning for Object Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integrating Faces and Fingerprints for Personal Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Organization of face and object recognition in modular neural network models
Neural Networks - Special issue on organisation of computation in brain-like systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Face Recognition Under Varying Pose
Face Recognition Under Varying Pose
Face Recognition Based on Fitting a 3D Morphable Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
The CMU Pose, Illumination, and Expression Database
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
Information Fusion in Face Identification
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Component-Based Face Recognition with 3D Morphable Models
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 5 - Volume 05
Recognition invariance obtained by extended and invariant features
Neural Networks - 2004 Special issue Vision and brain
A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition
Computer Vision and Image Understanding
Face recognition from a single image per person: A survey
Pattern Recognition
Face Detection Using Mixture of MLP Experts
Neural Processing Letters
Journal of Cognitive Neuroscience
Adaptive mixtures of local experts
Neural Computation
Learning binary relations and total orders
SFCS '89 Proceedings of the 30th Annual Symposium on Foundations of Computer Science
Teacher-Directed Learning with Mixture of Experts for View-Independent Face Recognition
SOFSEM '07 Proceedings of the 33rd conference on Current Trends in Theory and Practice of Computer Science
A modified mixture of experts network structure for ECG beats classification with diverse features
Engineering Applications of Artificial Intelligence
View-based eigenspaces with mixture of experts for view-independent face recognition
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Design and Fusion of Pose-Invariant Face-Identification Experts
IEEE Transactions on Circuits and Systems for Video Technology
Face recognition using kernel direct discriminant analysis algorithms
IEEE Transactions on Neural Networks
Expert Systems with Applications: An International Journal
Mixture of random prototype-based local experts
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Incorporation of a Regularization Term to Control Negative Correlation in Mixture of Experts
Neural Processing Letters
Pose invariant face recognition using biological inspired features based on ensemble of classifiers
Journal of Visual Communication and Image Representation
Boosted Pre-loaded Mixture of Experts for low-resolution face recognition
International Journal of Hybrid Intelligent Systems
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A model for view-independent face recognition, based on Mixture of Experts, ME, is presented. In the basic form of ME the problem space is automatically divided into several subspaces for the experts, and the outputs of experts are combined by a gating network. In our proposed model, the ME is directed to adapt to a particular partitioning corresponding to predetermined views. To force an expert towards a particular partitioning corresponding to predetermined views, a new representation scheme, overlapping eigenspaces, is introduced, that provides each expert with an eigenspace computed from the faces in the corresponding neighboring views. Furthermore, we use teacher-directed learning, TDL, in a way that according to the pose of the input training sample, only the weights of the corresponding experts are updated. The experimental results support our claim that directing the experts to a predetermined partitioning of the face space improves the performance of the conventional ME for view-independent face recognition. Comparison with some of the most related methods indicates that the proposed model yields excellent recognition rate in view-independent face recognition.