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» Image Distance Using Hidden Markov Models
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JCB
2006
215views more  JCB 2006»
13 years 9 months ago
Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs)
Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e., segmentation con...
Yan Liu 0002, Jaime G. Carbonell, Peter Weigele, V...
ICASSP
2008
IEEE
14 years 3 months ago
Deformable trellis: open contour tracking in bio-image sequences
This paper presents an open contour tracking method that employs an arc-emission Hidden Markov Model (HMM). The algorithm encodes the shape information of the structure in a spati...
Mehmet Emre Sargin, Alphan Altinok, Kenneth Rose, ...
MICCAI
2010
Springer
13 years 7 months ago
Nonlinear Embedding towards Articulated Spine Shape Inference Using Higher-Order MRFs
In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...
Samuel Kadoury, Nikos Paragios
EMMCVPR
2003
Springer
14 years 2 months ago
using Prior Shape and Points in Medical Image Segmentation
Abstract. In this paper we propose a new variational framework for image segmentation that incorporates the information of expected shape and a few points on the boundary into geod...
Yunmei Chen, Weihong Guo, Feng Huang, David Cliffo...
ICASSP
2010
IEEE
13 years 9 months ago
Recognition of phonemes and words in singing
This paper studies the influence of n-gram language models in the recognition of sung phonemes and words. We train uni-, bi-, and trigram language models for phonemes and bi- and...
Annamaria Mesaros, Tuomas Virtanen