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Cascaded Classification of Gender and Facial Expression using Active Appearance Models
Found in: Automatic Face and Gesture Recognition, IEEE International Conference on
By Yunus Saatci, Christopher Town
Issue Date:April 2006
pp. 393-400
This paper presents an approach to recognising the gender and expression of face images by means of Active Appearance Models (AAM). Features extracted by a trained AAM are used to construct Support Vector Machine (SVM) classifiers for 4 elementary emotiona...
Scaling Multidimensional Inference for Structured Gaussian Processes
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Elad Gilboa,Yunus Saatci,John P. Cunningham
Issue Date:October 2013
pp. 1
Exact Gaussian process (GP) regression has O(N^3) runtime for data size N, making it intractable for large N. Many algorithms for improving GP scaling approximate the covariance with lower rank matrices. Other work has exploited structure inherent in parti...
Beam sampling for the infinite hidden Markov model
Found in: Proceedings of the 25th international conference on Machine learning (ICML '08)
By Jurgen Van Gael, Yee Whye Teh, Yunus Saatci, Zoubin Ghahramani
Issue Date:July 2008
pp. 1088-1095
The infinite hidden Markov model is a non-parametric extension of the widely used hidden Markov model. Our paper introduces a new inference algorithm for the infinite Hidden Markov model called beam sampling. Beam sampling combines slice sampling, which li...