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Similarity Kernel and Clustering via Random Projection Forests
Similarity plays a fundamental role in many areas, including data mining...
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Learning over inherently distributed data
The recent decades have seen a surge of interests in distributed computi...
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Fast communication-efficient spectral clustering over distributed data
The last decades have seen a surge of interests in distributed computing...
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A Structured Approach to the Analysis of Remote Sensing Images
The number of studies for the analysis of remote sensing images has been...
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Cost-sensitive Selection of Variables by Ensemble of Model Sequences
Many applications require the collection of data on different variables ...
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K-nearest Neighbor Search by Random Projection Forests
K-nearest neighbor (kNN) search has wide applications in many areas, inc...
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Incorporating Deep Features in the Analysis of Tissue Microarray Images
Tissue microarray (TMA) images have been used increasingly often in canc...
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Clustering of Transcriptomic Data for the Identification of Cancer Subtypes
Cancer is a number of related yet highly heterogeneous diseases. Correct...
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The Turtleback Diagram for Conditional Probability
We elaborate on an alternative representation of conditional probability...
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Cluster Forests
With inspiration from Random Forests (RF) in the context of classificati...
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Statistical methods for tissue array images - algorithmic scoring and co-training
Recent advances in tissue microarray technology have allowed immunohisto...
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Classification under Data Contamination with Application to Remote Sensing Image Mis-registration
This work is motivated by the problem of image mis-registration in remot...
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