In this paper a range synthesis algorithm is proposed as an initial solution to the problem of 3D environment modeling from sparse data. We develop a statistical learning method f...
This paper presents a novel hierarchical approach to triangular mesh generation from height fields. A waveletbased multiresolution analysis technique is used to estimate local sha...
Shared and mutable data-structures pose major problems in static analysis and most analyzers are unable to keep track of the values of numeric variables stored in the heap. In this...
Abstract –In this paper, a variational message passing framework is proposed for Markov random fields, which is computationally more efficient and admits wider applicability comp...
Recent advances in small inexpensive sensors, low-power processing, and activity modeling have enabled applications that use on-body sensing and machine learning to infer people...
Sunny Consolvo, David W. McDonald, Tammy Toscos, M...