Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Linear discriminant analysis (LDA) has been an active topic of research during the last century. However, the existing algorithms have several limitations when applied to visual d...
This paper describes a new robust method for calibration of ultrasound probe (2D/3D). Prior to calibration, a position sensor is attached to the probe for tagging each image/volum...
Emad Boctor, Anand Viswanathan, Michael A. Choti, ...
Abstract. We study the problem of determining, given a run of a concurrent program, whether there is any alternate execution of it that violates atomicity, where atomicity is defin...
Azadeh Farzan, P. Madhusudan, Francesco Sorrentino
In analyzing data from social and communication networks, we encounter the problem of classifying objects where there is an explicit link structure amongst the objects. We study t...