ct We introduce a new family of spectral partitioning methods. Edge separators of a graph are produced by iteratively reweighting the edges until the graph disconnects into the pre...
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection vectors are commonly obtained by maximizing ...
A Photometric Image-Based Rendering (PIBR) concept is proposed that facilitates the generation of an image with an arbitrary illumination. Based on this concept, we aim to generat...
Following recent works on the rate region of the quadratic Gaussian two-terminal source coding problem and limit-approaching code designs, this paper examines multiterminal source ...
Yang Yang, Vladimir Stankovic, Wei Zhao, Zixiang X...