We propose a feature selection method that constructs each new feature by analysis of tight error clusters. This is a greedy, time-efficient forward selection algorithm that itera...
We present a hierarchical feature fusion model for image classification that is constructed by an evolutionary learning algorithm. The model has the ability to combine local patch...
Fabien Scalzo, George Bebis, Mircea Nicolescu, Lea...
Abstract— This paper addresses the problem of localization and map construction by a mobile robot in an indoor environment. Instead of trying to build high-fidelity geometric ma...
Paul E. Rybski, Franziska Zacharias, Jean-Fran&cce...
Nu model provides a higher level of abstraction compared to traditional object-oriented ILs, making it easier to eciently support dynamic AO features. We demonstrate these benets...
Vig a construction schedule helps planners to identity potential construction problems prior to actual building construction. Planners must envision the sequence of construction, ...
Kathleen McKinney, John C. Kunz, Martin A. Fischer