In this paper we address the problem of relighting faces in presence of cast shadows and specularities. We present a solution to this problem by capturing the spatially varying Ap...
Many classification tasks benefit from integrating manifold learning and semi-supervised learning. By formulating the learning task in a semi-supervised manner, we propose a novel...
The small sample size problem is often encountered in pattern recognition. It results in the singularity of the within-class scatter matrix Sw in Linear Discriminant Analysis (LDA...
This paper presents an approach to affective video summarization based on the facial expressions (FX) of viewers. A facial expression recognition system was deployed to capture a v...
Hideo Joho, Joemon M. Jose, Roberto Valenti, Nicu ...
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image s...