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CISST
2003
120views Hardware» more  CISST 2003»
15 years 2 months ago
Triangle Mesh Compression using B-Spline Curves
We present a new method to compress triangle meshes in a lossless manner. Triangle compression requires compression of the geometry (vertices) as well as the topology (connectivit...
Anshuman Razdan, Vinodth Kumar Mohanam, Gerald E. ...
ICRA
2008
IEEE
160views Robotics» more  ICRA 2008»
15 years 7 months ago
Probabilistic localization with a blind robot
Abstract— Researchers have addressed the localization problem for mobile robots using many different kinds of sensors, including rangefinders, cameras, and odometers. In this pa...
Lawrence H. Erickson, Joseph Knuth, Jason M. O'Kan...
ICML
2008
IEEE
16 years 2 months ago
Multi-task compressive sensing with Dirichlet process priors
Compressive sensing (CS) is an emerging field that, under appropriate conditions, can significantly reduce the number of measurements required for a given signal. In many applicat...
Yuting Qi, Dehong Liu, David B. Dunson, Lawrence C...
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CORR
2010
Springer
145views Education» more  CORR 2010»
14 years 10 months ago
Orthogonal symmetric Toeplitz matrices for compressed sensing: Statistical isometry property
Recently, the statistical restricted isometry property (RIP) has been formulated to analyze the performance of deterministic sampling matrices for compressed sensing. In this paper...
Kezhi Li, Lu Gan, Cong Ling
ICML
2007
IEEE
16 years 2 months ago
Bayesian compressive sensing and projection optimization
This paper introduces a new problem for which machine-learning tools may make an impact. The problem considered is termed "compressive sensing", in which a real signal o...
Shihao Ji, Lawrence Carin