570 citations · 581 across the 4 of their papers we have counts for
4 papers
Latent Laplacian Maximum Entropy Discrimination for Detection of High-Utility Anomalies
Elizabeth Hou, Kumar Sricharan, Alfred O. Hero
Data-driven anomaly detection methods suffer from the drawback of detecting all instances that are statistically rare, irrespective of whether the detected instances have real-worl…
Semi-Supervised Learning via Sparse Label Propagation
Alexander Jung, Alfred O. Hero, Alexandru Mara +1
This work proposes a novel method for semi-supervised learning from partially labeled massive network-structured datasets, i.e., big data over networks. We model the underlying hyp…
Shrinkage Algorithms for MMSE Covariance Estimation
Yilun Chen, Ami Wiesel, Yonina C. Eldar +1
We address covariance estimation in the sense of minimum mean-squared error (MMSE) for Gaussian samples. Specifically, we consider shrinkage methods which are suitable for high dim…
Classification Constrained Dimensionality Reduction
Raviv Raich, Jose A. Costa, Steven B. Damelin +1
Dimensionality reduction is a topic of recent interest. In this paper, we present the classification constrained dimensionality reduction (CCDR) algorithm to account for label info…