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CVPR
2008
IEEE
16 years 8 months ago
A hierarchical and contextual model for aerial image understanding
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 ...
HUC
2009
Springer
15 years 11 months ago
Recognizing daily activities with RFID-based sensors
We explore a dense sensing approach that uses RFID sensor network technology to recognize human activities. In our setting, everyday objects are instrumented with UHF RFID tags ca...
Michael Buettner, Richa Prasad, Matthai Philipose,...
SI3D
1999
ACM
15 years 10 months ago
Computing bounding volume hierarchies using model simplification
This paper presents a framework that uses the outputs of model simplification to guide the construction of bounding volume hierarchies for use in, for example, collision detection...
Tiow Seng Tan, Ket-Fah Chong, Kok-Lim Low
ASPLOS
2004
ACM
15 years 12 months ago
Low-overhead memory leak detection using adaptive statistical profiling
Sampling has been successfully used to identify performance optimization opportunities. We would like to apply similar techniques to check program correctness. Unfortunately, samp...
Matthias Hauswirth, Trishul M. Chilimbi
CVPR
2009
IEEE
17 years 1 months ago
Learning General Optical Flow Subspaces for Egomotion Estimation and Detection of Motion Anomalies
This paper deals with estimation of dense optical flow and ego-motion in a generalized imaging system by exploiting probabilistic linear subspace constraints on the flow. We dea...
Richard Roberts (Georgia Institute of Technology),...