Title of dissertation: Domain Transfer Learning for Object and Action Recognition Jingjing Zheng, Doctor of Philosophy, 2015 Dissertation directed by: Professor Rama Chellappa Department of Electrical and Computer Engineering Visual recognition has always been a fundamental problem in computer vision. Its task is to learn visual categories using labeled training data and then identify unlabeled...

Human can be distinguished by different limb movements and unique ground reaction force. Cumulative foot pressure image is a 2-D cumulative ground reaction force during one gait cycle. Although it contains pressure spatial distribution information and pressure temporal distribution information, it suffers from several problems including different shoes and noise, when putting it into practice a...

We propose a method to discriminatively train acoustic models with sparse inverse covariance (precision) matrices in order to improve the model robustness when training data is insufficient. Acoustic models with sparse inverse covariance matrices were previously proposed to address the problem of over-fitting when training data is inadequate. Since many of the entries of the inverse covariance ...

Abstract: Semi-Nonnegative Matrix Factorization (Semi-NMF), as a variant of NMF, inherits the merit of parts-based representation of NMF and possesses the ability to process mixed sign data, which has attracted extensive attention. However, standard Semi-NMF still suffers from the following limitations. First of all, Semi-NMF fits data in a Euclidean space, which ignores the geometrical structu...