We have proposed replicator neural networks (RNNs) as an outlier detecting algorithm [15]. Here we compare RNN for outlier detection with three other methods using both publicly a...
Graham J. Williams, Rohan A. Baxter, Hongxing He, ...
Graphs are canonical examples of high-dimensional non-Euclidean data sets, and are emerging as a common data structure in many fields. While there are many algorithms to analyze ...
Benjamin A. Miller, Nadya T. Bliss, Patrick J. Wol...
In this article we address the issue of denoising photon-limited image data by deriving new and efficient multivariate Bayesian estimators that approximate the conditional expecta...
Abstract--The paper proposes a model which allows integration of services published by independent providers into scientific or business workflows. Optimization algorithms are prop...
Collecting usability data over time is increasingly becoming best practice in industry, but lacks "thought leadership" in current literature; few papers address the topi...
Misha W. Vaughan, Catherine Courage, Stephanie Ros...