This paper examines the power of different nonrigid registration models to detect changes in TBM, and their stability when no real changes are present. Specifically, we investigat...
Igor Yanovsky, Paul M. Thompson, Stanley Osher, Xu...
Most clustering algorithms operate by optimizing (either implicitly or explicitly) a single measure of cluster solution quality. Such methods may perform well on some data sets bu...
Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
— Mobile robot tipover is a concern as it can create dangerous situations for operators and bystanders, cause collateral damage to the surrounding environment, and result in an a...
Philip R. Roan, Aaron Burmeister, Amin Rahimi, Kev...