In this paper we present a novel method for parsing aerial images with a hierarchical and contextual model learned in a statistical framework. We learn hierarchies at the scene an...
Jake Porway, Kristy Wang, Benjamin Yao, Song Chun ...
An efficient algorithm for compression of dynamic time-consistent 3D meshes is presented. Such a sequence of meshes contains a large degree of temporal statistical dependencies tha...
Motivated by the paradigm of event-based monitoring, which can potentially alleviate the inherent bandwidth and energy constraints associated with wireless sensor networks, we con...
Investors would like to calculate profits in advance, “ex ante”, like the path of a flying ball. But income can only be given “ex post”, after the money is earned. The pro...
This paper describes Automated Industry and Occupation Coding System (AIOCS). The main function of the system is to classify natural language responses to survey questionnaires int...