A Biologically Plausible Approach to Cat and Dog Discrimination
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Face recognition with visible and thermal infrared imagery
Computer Vision and Image Understanding - Special issue on Face recognition
Recognizing faces with PCA and ICA
Computer Vision and Image Understanding - Special issue on Face recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recent advances in visual and infrared face recognition: a review
Computer Vision and Image Understanding
Where Are Linear Feature Extraction Methods Applicable?
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ensemble learning for independent component analysis
Pattern Recognition
Facial Expression Recognition Based on Emotion Dimensions on Manifold Learning
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
Biometrics and their use in e-passports
Image and Vision Computing
Component-based LDA face description for image retrieval and MPEG-7 standardisation
Image and Vision Computing
Dynamics of facial expression extracted automatically from video
Image and Vision Computing
Multilinear (tensor) ICA and dimensionality reduction
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Integrating independent components and linear discriminant analysis for gender classification
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Recognizing facial expressions with PCA and ICA onto dimension of the emotion
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Facial expression recognition in various internal states using independent component analysis
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
Automatic facial expression recognition using linear and nonlinear holistic spatial analysis
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Classification of face images for gender, age, facial expression, and identity
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
Detection of moving objects by independent component analysis
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
A flexible object model for recognising and synthesising facial expressions
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Local and global feature extraction for face recognition
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Robust face recognition based on part-based localized basis images
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Local feature analysis with class information
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
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From the Publisher:"Face Image Analysis by Unsupervised Learning explores adaptive approaches to image analysis. It draws upon principles of unsupervised learning and information theory to adapt processing to the immediate task environment. In contrast to more traditional approaches to image analysis in which relevant structure is determined in advance and extracted using hand-engineered techniques, Face Image Analysis by Unsupervised Learning explores methods that have roots in biological vision and/or learn about the image structure directly from the image ensemble. Particular attention is paid to unsupervised learning techniques for encoding the statistical dependencies in the image ensemble." "Face Image Analysis by Unsupervised Learning is suitable as a secondary text for a graduate level course and as a reference for researchers and practitioners in industry."--BOOK JACKET.