A Two-Dimensional Framework of Multiple Kernel Subspace Learning for Recognizing Emotion in Speech.
Xinzhou XuJun DengNicholas CumminsZixing ZhangChen WuLi ZhaoBjörn W. SchullerPublished in: IEEE ACM Trans. Audio Speech Lang. Process. (2017)
Keyphrases
- subspace learning
- maximum margin criterion
- multiple kernel
- computer vision
- multiple kernel learning
- face recognition
- linear combination
- higher order
- multiple features
- data representation
- sparse representation
- dimensionality reduction
- machine learning
- small number
- probabilistic model
- pairwise
- data analysis
- object recognition
- image processing
- learning algorithm