Abstract: This paper presents a novel approach for object classification and pose estimation which employs spherical light field rendering to generate virtual views based on synthe...
Abstract. We prove lower bounds on the randomized two-party communication complexity of functions that arise from read-once boolean formulae. A read-once boolean formula is a formu...
In this paper, we describe a system that can extract record structures from web pages with no direct human supervision. Records are commonly occurring HTML-embedded data tuples th...
The purpose of this study is to empirically reveal strategies of students' organization of learning-related digital materials within an online personal information archive. Re...
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...