A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
The Sparse Basis Problem and Multilinear Algebra
SIAM Journal on Matrix Analysis and Applications
The nature of statistical learning theory
The nature of statistical learning theory
The Solution to a Structured Matrix Approximation Problem Using Grassman Coordinates
SIAM Journal on Matrix Analysis and Applications
Training Invariant Support Vector Machines
Machine Learning
Face Recognition from Long-Term Observations
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Face Recognition Using Temporal Image Sequence
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
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Learning over sets using kernel principal angles
The Journal of Machine Learning Research
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Journal of Machine Learning Research
Local velocity-adapted motion events for spatio-temporal recognition
Computer Vision and Image Understanding
Kernel Grassmannian distances and discriminant analysis for face recognition from image sets
Pattern Recognition Letters
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Proceedings of the 23rd British HCI Group Annual Conference on People and Computers: Celebrating People and Technology
The kernel orthogonal mutual subspace method and its application to 3D object recognition
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Kernel discriminant analysis based on canonical differences for face recognition in image sets
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
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CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Probabilistic identity characterization for face recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Kernel discriminant transformation for image set-based face recognition
Pattern Recognition
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
A framework for 3d object recognition using the kernel constrained mutual subspace method
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Face recognition using more than one still image: what is more?
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Detection of similar sequences in EEG maps series using correlation coefficients matrix
Machine Graphics & Vision International Journal
Action recognition using linear dynamic systems
Pattern Recognition
Action recognition using canonical correlation kernels
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
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We consider the problem of learning with instances defined over a space of sets of vectors. We derive a new positive definite kernel f(A, B) defined over pairs of matrices A,B based on the concept of principal angles between two linear subspaces. We show that the principal angles can be recovered using only inner-products between pairs of column vectors of the input matrices thereby allowing the original column vectors of A, B to be mapped onto arbitrarily high-dimensional feature spaces. We apply this technique to inference over image sequences applications of face recognition and irregular motion trajectory detection.