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» An LFT approach to parameter estimation
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ICRA
2008
IEEE
144views Robotics» more  ICRA 2008»
16 years 24 days ago
Interacting multiple model monocular SLAM
— Recent work has demonstrated the benefits of adopting a fully probabilistic SLAM approach in sequential motion and structure estimation from an image sequence. Unlike standard...
Javier Civera, Andrew J. Davison, J. M. M. Montiel
ICAPR
2005
Springer
15 years 12 months ago
Fingerprint Image Enhancement Using STFT Analysis
Contrary to popular belief, despite decades of research in fingerprints, reliable fingerprint recognition is an open problem. Extracting features out of poor quality prints is t...
Sharat Chikkerur, Venu Govindaraju, Alexander N. C...
BMCBI
2005
89views more  BMCBI 2005»
15 years 6 months ago
An empirical analysis of training protocols for probabilistic gene finders
Background: Generalized hidden Markov models (GHMMs) appear to be approaching acceptance as a de facto standard for state-of-the-art ab initio gene finding, as evidenced by the re...
William H. Majoros, Steven Salzberg
SIBGRAPI
1999
IEEE
15 years 10 months ago
Speckle Noise MAP Filtering Based on Local Adaptive Neighborhood Statistics
This work proposes the use of an adaptive neighborhood procedure to extract local statistical properties of images in order to improve a speckle noise "Maximum a Posteriori &q...
Fátima N. S. de Medeiros, Nelson D. A. Masc...
NIPS
2004
15 years 7 months ago
Sampling Methods for Unsupervised Learning
We present an algorithm to overcome the local maxima problem in estimating the parameters of mixture models. It combines existing approaches from both EM and a robust fitting algo...
Robert Fergus, Andrew Zisserman, Pietro Perona