7 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 7 cited
Supervised Dimensionality Reduction and Visualization using Centroid-encoder
Tomojit Ghosh, Michael Kirby
Visualizing high-dimensional data is an essential task in Data Science and Machine Learning. The Centroid-Encoder (CE) method is similar to the autoencoder but incorporates label i…
cs.CG2016
Stratifying High Dimensional Data Based on Proximity to the Convex Hull Boundary
Lori Ziegelmeier, Michael Kirby, Chris Peterson
The convex hull of a set of points, , serves to expose extremal properties of and can help identify elements in of high interest. For many problems, particularly in the…
math.GT2012★ 2 cited
Locally Linear Embedding Clustering Algorithm for Natural Imagery
Lori Ziegelmeier, Michael Kirby, Chris Peterson
The ability to characterize the color content of natural imagery is an important application of image processing. The pixel by pixel coloring of images may be viewed naturally as p…