Recent
April 2013 My colleagues and I have recently gotten our paper Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling accepted at CVPR 2013!
2012 My colleagues and I have published our JMLR paper Bounding the Probability of Error for High Precision Optical Character Recognition.
Andrew Kae
I am a last year graduate student in the School of Computer Science at UMass Amherst.
I work in the Computer Vision lab and my advisor is Professor Erik Learned-Miller.
My research interests include topics in Computer Vision and Machine Learning. In particular, I study nonparameteric models with applications to character recognition, face recognition and segmentation. My focus is on using machine learning tools to build practical, useful applications in Computer Vision.
Contact Information
My email address is akae % cs.umass.edu
