Image segmentation is a fundamental step in many computer vision applications. Generally, the choice of a segmentation algorithm, or parameterization of a given algorithm, is sele...
Hui Zhang, Sharath R. Cholleti, Sally A. Goldman, ...
Abstract--We present a method to extract and visualize vortices that originate from bounding walls of three-dimensional timedependent flows. These vortices can be detected using th...
Alexander Wiebel, Xavier Tricoche, Dominic Schne...
Abstract. We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The out...
In this paper, we investigate a simple, mistakedriven learning algorithm for discriminative training of continuous density hidden Markov models (CD-HMMs). Most CD-HMMs for automat...
ion. riented language features, such as abstract classes, inheritance, dynamic binding, and parameterized types. Middleware, such as object-oriented frameworks for host infrastruct...