MetaCost: a general method for making classifiers cost-sensitive
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Learning Gender with Support Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Comparative Study of Cost-Sensitive Boosting Algorithms
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Support Vector Regression and Classification Based Multi-View Face Detection and Recognition
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Cost-Sensitive Learning by Cost-Proportionate Example Weighting
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Gaussian Processes for Ordinal Regression
The Journal of Machine Learning Research
New approaches to support vector ordinal regression
ICML '05 Proceedings of the 22nd international conference on Machine learning
Training Cost-Sensitive Neural Networks with Methods Addressing the Class Imbalance Problem
IEEE Transactions on Knowledge and Data Engineering
Facial Attractiveness: Beauty and the Machine
Neural Computation
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Correlated Label Propagation with Application to Multi-label Learning
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Face Description with Local Binary Patterns: Application to Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Face recognition from a single image per person: A survey
Pattern Recognition
Support Vector Ordinal Regression
Neural Computation
Cost-sensitive boosting for classification of imbalanced data
Pattern Recognition
Automatic Age Estimation Based on Facial Aging Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Label Propagation through Linear Neighborhoods
IEEE Transactions on Knowledge and Data Engineering
Robust Face Recognition via Sparse Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Facial expression recognition based on Local Binary Patterns: A comprehensive study
Image and Vision Computing
Toward Practical Smile Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
The foundations of cost-sensitive learning
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Kernel Discriminant Learning for Ordinal Regression
IEEE Transactions on Knowledge and Data Engineering
Pairwise Costs in Multiclass Perceptrons
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cost-Sensitive Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Predicting facial beauty without landmarks
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Quantitative analysis of human facial beauty using geometric features
Pattern Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
An All-at-once Unimodal SVM Approach for Ordinal Classification
ICMLA '10 Proceedings of the 2010 Ninth International Conference on Machine Learning and Applications
Classification Models with Global Constraints for Ordinal Data
ICMLA '10 Proceedings of the 2010 Ninth International Conference on Machine Learning and Applications
Human Age Estimation With Regression on Discriminative Aging Manifold
IEEE Transactions on Multimedia
Image-Based Human Age Estimation by Manifold Learning and Locally Adjusted Robust Regression
IEEE Transactions on Image Processing
Mixture of experts for classification of gender, ethnic origin, and pose of human faces
IEEE Transactions on Neural Networks
A Discriminative Model for Age Invariant Face Recognition
IEEE Transactions on Information Forensics and Security - Part 2
Sense beauty via face, dressing, and/or voice
Proceedings of the 20th ACM international conference on Multimedia
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In this paper, we propose a new cost-sensitive ordinal regression (CSOR) approach for fully automatic facial beauty assessment. While there have been several facial beauty assessment methods in the literature, most of them require an accurate set of manual landmarks and are not fully automatic. In many real-world applications, face images are usually captured in unconstrained environments and hence it is desirable to develop fully automatic facial beauty assessment systems for these practical applications. To this end, we develop a fully automatic facial beauty assessment system that behaves like human beings in assessing the concept of facial beauty. To achieve this goal, we propose a new CSOR method to predict the beauty information of face images captured in unconstrained environments. Our method is motivated by the fact that the relative order information of the beauty label information in a face dataset and the costs (losses) of different mis-assessments are usually different. To make better use of these information, we learn a regression model by uncovering the nonlinear structure and preserving the ordinal information of facial images simultaneously. Experimental results on our dataset are presented to demonstrate the efficacy of the proposed approach.