Deep nonlinear metric learning with independent subspace analysis for face verification
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Summary
This work proposes a nonlinear metric learning method, which learns an explicit mapping from the original space to an optimal subspace, using deep Independent Subspace Analysis network, and exhibits more powerful ability to learn the nature of highly variable dataset.
- Type
- article
- Published
- 2012-10-29
- Cited by
- 77
- References
- 17
- OpenAlex
- https://openalex.org/W1978590356
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:14243997
Keywords
Metric (unit), Mahalanobis distance, Artificial intelligence, Computer science, Subspace topology
References
- Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments
- Large Scale Strongly Supervised Ensemble Metric Learning, with Applications to Face Verification and Retrieval
- Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis
- Multiple One-Shots for Utilizing Class Label Information
- Enhanced Patterns of Oriented Edge Magnitudes for Face Recognition and Image Matching
- Hierarchical multiscale LBP for face and palmprint recognition
- Quadratic-chi similarity metric learning for histogram feature
- Deep Learning Regularized Fisher Mappings
- Is that you? Metric learning approaches for face identification
- Distance Metric Learning with Application to Clustering with Side-Information
- An introduction to biometric recognition
- Probabilistic Models for Inference about Identity
- Cost-Sensitive Face Recognition
- Flexible Metric Nearest Neighbor Classification
- Reducing the Dimensionality of Data with Neural Networks
- Distance Metric Learning: A Comprehensive Survey
- This PDF file includes: Materials and Methods
Cited by
- Multimedia Analysis with Deep Learning
- Deep transfer metric learning
- An Improved Metric Learning Approach for Degraded Face Recognition
- Photo linker: a system for finding your old photos based on fragmentary memories
- Deep Learning Face Representation from Predicting 10,000 Classes
- Nonlinear Metric Learning with Deep Independent Subspace Analysis Network for Face Verification
- Discriminative Deep Metric Learning for Face Verification in the Wild
- Quick search algorithms based on ethnic facial image database
- A Supervised Low-Rank Method for Learning Invariant Subspaces
- MetricFusion: Generalized metric swarm learning for similarity measure
- Robust face alignment and partial face recognition
- Survey of deep learning in face recognition
- Kinship Verification with Deep Convolutional Neural Networks
- Attention-Based Deep Distance Metric Learning for Aspect-Phrase Grouping
- Hybrid Deep Learning for Face Verification
- Deep Learning in Object Recognition, Detection, and Segmentation
- Multi-metrics classification machine
- Learning Stacked Image Descriptor for Face Recognition
- Weakly-supervised deep self-learning for face recognition
- Deep Transfer Metric Learning
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