Floating search methods in feature selection
Pattern Recognition Letters
Exploiting generative models in discriminative classifiers
Proceedings of the 1998 conference on Advances in neural information processing systems II
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Using the Fisher Kernel Method to Detect Remote Protein Homologies
Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology
Machine Learning for Sequential Data: A Review
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
In Defense of One-Vs-All Classification
The Journal of Machine Learning Research
Model Structure Selection and Training Algorithms for an HMM Gesture Recognition System
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
Automatic Sign Language Analysis: A Survey and the Future beyond Lexical Meaning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Generative Models and Fisher Kernels for Object Recognition
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Understanding gestures with systematic variations in movement dynamics
Pattern Recognition
Using the Fisher kernel method for Web audio classification
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
SignTutor: An Interactive System for Sign Language Tutoring
IEEE MultiMedia
Face recognition based on multi-class mapping of Fisher scores
Pattern Recognition
Deciphering gestures with layered meanings and signer adaptation
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Spatiotemporal-boosted DCT features for head and face gesture analysis
HBU'10 Proceedings of the First international conference on Human behavior understanding
Robust classification of face and head gestures in video
Image and Vision Computing
Efficient classifiers for multi-class classification problems
Decision Support Systems
Robust visual tracking with discriminative sparse learning
Pattern Recognition
A multimedia presentation system using a 3D gesture interface in museums
Multimedia Tools and Applications
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Fisher kernels combine the powers of discriminative and generative classifiers by mapping the variable-length sequences to a new fixed length feature space, called the Fisher score space. The mapping is based on a single generative model and the classifier is intrinsically binary. We propose a multi-class classification strategy that applies a multi-class classification on each Fisher score space and combines the decisions of multi-class classifiers. We experimentally show that the Fisher scores of one class provide discriminative information for the other classes as well. We compare several multi-class classification strategies for Fisher scores generated from the hidden Markov models of sign sequences. The proposed multi-class classification strategy increases the classification accuracy in comparison with the state of the art strategies based on combining binary classifiers. To reduce the computational complexity of the Fisher score extraction and the training phases, we also propose a score space selection method and show that, similar or even higher accuracies can be obtained by using only a subset of the score spaces. Based on the proposed score space selection method, a signer adaptation technique is also presented that does not require any re-training.