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» Image Distance Using Hidden Markov Models
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NIPS
2004
13 years 9 months ago
Harmonising Chorales by Probabilistic Inference
We describe how we used a data set of chorale harmonisations composed by Johann Sebastian Bach to train Hidden Markov Models. Using a probabilistic framework allows us to create a...
Moray Allan, Christopher K. I. Williams
RTI
2000
169views more  RTI 2000»
13 years 7 months ago
Image Segmentation Using Markov Random Field Model in Fully Parallel Cellular Network Architectures
Tamás Szirányi, Josiane Zerubia, L&a...
ICPR
2002
IEEE
14 years 8 months ago
Face Detection and Synthesis Using Markov Random Field Models
Markov Random Fields (MRFs) are proposed as viable stochastic models for the spatial distribution of gray level intensities for images of human faces. These models are trained usi...
Sarat C. Dass, Anil K. Jain, Xiaoguang Lu
ICRA
2003
IEEE
131views Robotics» more  ICRA 2003»
14 years 1 months ago
Sky/ground modeling for autonomous MAV flight
Abstract— Recently, we have implemented a computervision based horizon-tracking algorithm for flight stability and autonomy in Micro Air Vehicles (MAVs) [1]. Occasionally, this ...
Sinisa Todorovic, Michael C. Nechyba, Peter G. Ifj...
TSP
2010
13 years 2 months ago
Gaussian multiresolution models: exploiting sparse Markov and covariance structure
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...