A resource-allocating network for function interpolation
Neural Computation
Merging and Splitting Eigenspace Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Candid Covariance-Free Incremental Principal Component Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Real-Time Face Detection
International Journal of Computer Vision
IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition
IEEE Transactions on Knowledge and Data Engineering
2005 Special issue: Incremental learning of feature space and classifier for face recognition
Neural Networks - 2005 Special issue: IJCNN 2005
Local Binary Patterns as an Image Preprocessing for Face Authentication
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Face Description with Local Binary Patterns: Application to Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture classification using Gabor wavelets based rotation invariant features
Pattern Recognition Letters
MutualBoost learning for selecting Gabor features for face recognition
Pattern Recognition Letters
Weighted Sub-Gabor for face recognition
Pattern Recognition Letters
Biometric scores fusion based on total error rate minimization
Pattern Recognition
Simplified Gabor wavelets for human face recognition
Pattern Recognition
Between Classification-Error Approximation and Weighted Least-Squares Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deterministic neural classification
Neural Computation
AdaBoost with SVM-based component classifiers
Engineering Applications of Artificial Intelligence
Incremental subspace learning via non-negative matrix factorization
Pattern Recognition
Semi-random subspace method for face recognition
Image and Vision Computing
Incremental learning of bidirectional principal components for face recognition
Pattern Recognition
Least Square Incremental Linear Discriminant Analysis
ICDM '09 Proceedings of the 2009 Ninth IEEE International Conference on Data Mining
Recent advances in face biometrics with Gabor wavelets: A review
Pattern Recognition Letters
A robust eye detection method in facial region
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
Local binary patterns variants as texture descriptors for medical image analysis
Artificial Intelligence in Medicine
A completed modeling of local binary pattern operator for texture classification
IEEE Transactions on Image Processing
Realtime training on mobile devices for face recognition applications
Pattern Recognition
Face recognition using ada-boosted gabor features
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Communications of the ACM
Photo identity tag suggestion using only social network context on large-scale web services
ICME '11 Proceedings of the 2011 IEEE International Conference on Multimedia and Expo
IEEE Transactions on Multimedia
Incremental linear discriminant analysis for classification of data streams
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A novel incremental principal component analysis and its application for face recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Incremental Linear Discriminant Analysis for Face Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Sequential Karhunen-Loeve basis extraction and its application to images
IEEE Transactions on Image Processing
A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks
IEEE Transactions on Neural Networks
Engineering Applications of Artificial Intelligence
Neural networks letter: Comments on the "No-Prop" algorithm
Neural Networks
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Due to the rapid growth of social network services such as Facebook and Twitter, incorporation of face recognition in these large-scale web services is attracting much attention in both academia and industry. The major problem in such applications is to deal efficiently with the growing number of samples as well as local appearance variations caused by diverse environments for the millions of users over time. In this paper, we focus on developing an incremental face recognition method for Twitter application. Particularly, a data-independent feature extraction method is proposed via binarization of a Gabor filter. Subsequently, the dimension of our Gabor representation is reduced considering various orientations at different grid positions. Finally, an incremental neural network is applied to learn the reduced Gabor features. We apply our method to a novel application which notifies new photograph uploading to related users without having their ID being identified. Our extensive experiments show that the proposed algorithm significantly outperforms several incremental face recognition methods with a dramatic reduction in computational speed. This shows the suitability of the proposed method for a large-scale web service with millions of users.