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» Hidden Markov Model Variants and their Application
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92
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BMCBI
2010
123views more  BMCBI 2010»
14 years 9 months ago
Decoding HMMs using the k best paths: algorithms and applications
Background: Traditional algorithms for hidden Markov model decoding seek to maximize either the probability of a state path or the number of positions of a sequence assigned to th...
Daniel G. Brown 0001, Daniil Golod
IICAI
2003
14 years 11 months ago
TANSEN: A System for Automatic Raga Identification
Computational Musicology is a new and emerging field which draws heavily from Computer Science, particularly Artificial Intelligence. Western Music has been under the gaze of thi...
Gaurav Pandey, Chaitanya Mishra, Paul Ipe
ICDAR
2011
IEEE
13 years 9 months ago
HMM-Based Alignment of Inaccurate Transcriptions for Historical Documents
—For historical documents, available transcriptions typically are inaccurate when compared with the scanned document images. Not only the position of the words and sentences are ...
Andreas Fischer, Emanuel Indermühle, Volkmar ...
89
Voted
ICIP
2002
IEEE
15 years 11 months ago
Unsupervised image segmentation via Markov trees and complex wavelets
The goal in image segmentation is to label pixels in an image based on the properties of each pixel and its surrounding region. Recently Content-Based Image Retrieval (CBIR) has e...
Cián W. Shaffrey, Ian Jermyn, Nick G. Kings...
CORR
2010
Springer
168views Education» more  CORR 2010»
14 years 8 months ago
Gaussian Process Structural Equation Models with Latent Variables
In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by...
Ricardo Silva