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CORR
2008
Springer
91views Education» more  CORR 2008»
15 years 4 months ago
Particle Filtering for Large Dimensional State Spaces with Multimodal Observation Likelihoods
We study efficient importance sampling techniques for particle filtering (PF) when either (a) the observation likelihood (OL) is frequently multimodal or heavy-tailed, or (b) the s...
Namrata Vaswani
PAMI
2007
101views more  PAMI 2007»
15 years 3 months ago
Surface Dependent Representations for Illumination Insensitive Image Comparison
—We consider the problem of matching images to tell whether they come from the same scene viewed under different lighting conditions. We show that the surface characteristics det...
Margarita Osadchy, David W. Jacobs, Michael Linden...
CORR
2006
Springer
145views Education» more  CORR 2006»
15 years 4 months ago
Algebraic Signal Processing Theory
In [1], we presented the algebraic signal processing theory, an axiomatic and general framework for linear signal processing. The basic concept in this theory is the signal model d...
Markus Püschel, José M. F. Moura
IPSN
2004
Springer
15 years 9 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
VLDB
2001
ACM
97views Database» more  VLDB 2001»
15 years 9 months ago
Functional Properties of Information Filtering
In recent years, due to the increasing popularization of data broadcasting, the volume and variety of data being broadcast are rapidly increasing. In this environment, as it is di...
Rie Sawai, Masahiko Tsukamoto, Yin-Huei Loh, Tsuto...