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Displaying 1-6 out of 6 total
Segmentation of Random Fields Via Borrowed Strength Density Estimation
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Carey E. Priebe, David J. Marchette, George W. Rogers
Issue Date:May 1997
pp. 494-499
<p><b>Abstract</b>—In many applications, spatial observations must be segmented into homogeneous regions and the number, positions, and shapes of the regions are unknown a priori. Information about the underlying probability distributions...
 
Validation of Alternating Kernel Mixture Method Based Segmentation of the Human Brain
Found in: Frontiers in the Convergence of Bioscience and Information Technologies
By Nayoung A. Lee, Carey E. Priebe, J. Tilak Ratnanather, Michael I. Miller
Issue Date:October 2007
pp. 477-481
This paper describes the application of a novel segmentation method in high resolution MRI subvolumes containing hippocampus in five subjects and occipital lobe in five subjects. The alternating kernel mixture (AKM) algorithm is used to segment the MRI sub...
 
Integrated Sensing and Processing Decision Trees
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Carey E. Priebe, David J. Marchette, Dennis M. Healy
Issue Date:June 2004
pp. 699-708
<p><b>Abstract</b>—We introduce a methodology for adaptive sequential sensing and processing in a classification setting. Our objective for sensor optimization is the back-end performance metric—in this case, misclassification rate. Our m...
 
Olfactory Classification via Interpoint Distance Analysis
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Carey E. Priebe
Issue Date:April 2001
pp. 404-413
<p><b>Abstract</b>—Detection of the presence of a single prespecified chemical analyte at low concentration in complex backgrounds is a difficult application for chemical sensors. This article considers a database of artificial nose obser...
 
Hippocampus Shape-Space Analysis of Clinically Depressed, High Risk, and Control Populations
Found in: Frontiers in the Convergence of Bioscience and Information Technologies
By Youngser Park, Carey E. Priebe, Kelly Botteron, Michael Miller, Nikhil R. Mohan
Issue Date:October 2007
pp. 465-469
By analyzing interpoint comparisons, we obtain significant results describing the relationship in
 
Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Daniel L. Sussman, Minh Tang,Carey E. Priebe
Issue Date:January 2014
pp. 48-57
In this work, we show that using the eigen-decomposition of the adjacency matrix, we can consistently estimate latent positions for random dot product graphs provided the latent positions are i.i.d. from some distribution. If class labels are observed for ...
 
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