Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition
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Published By Springer Berlin Heidelberg

9783540404989, 9783540450634

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Hierarchical Annealing for Random Image Synthesis

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/978-3-540-45063-4_13 ◽

2003 ◽

pp. 194-210 ◽

Cited By ~ 7

Author(s):

Simon K. Alexander ◽

Paul Fieguth ◽

Edward R. Vrscay

Keyword(s):

Image Synthesis ◽

Random Image

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Separating a Texture from an Arbitrary Background Using Pairwise Grey Level Cooccurrences

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/978-3-540-45063-4_20 ◽

2003 ◽

pp. 306-322

Author(s):

Georgy Gimel’farb ◽

Linjiang Yu

Keyword(s):

Grey Level

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Definition of a Signal-to-Noise Ratio for Object Segmentation Using Polygonal MDL-Based Statistical Snakes

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/978-3-540-45063-4_24 ◽

2003 ◽

pp. 373-388 ◽

Cited By ~ 3

Author(s):

François Goudail ◽

Philippe Réfrégier ◽

Olivier Ruch

Keyword(s):

Object Segmentation ◽

Signal To Noise Ratio ◽

Signal To Noise ◽

Noise Ratio ◽

Definition Of

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Semi-supervised Image Segmentation by Parametric Distributional Clustering

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/978-3-540-45063-4_15 ◽

2003 ◽

pp. 229-245 ◽

Cited By ~ 4

Author(s):

Lothar Hermes ◽

Joachim M. Buhmann

Keyword(s):

Image Segmentation

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Contextual and Non-combinatorial Approach to Feature Extraction

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/978-3-540-45063-4_30 ◽

2003 ◽

pp. 467-482 ◽

Cited By ~ 2

Author(s):

Toshiro Kubota

Keyword(s):

Feature Extraction ◽

Combinatorial Approach

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Local PCA for Strip Line Detection and Thinning

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/978-3-540-45063-4_2 ◽

2003 ◽

pp. 21-34 ◽

Cited By ~ 4

Author(s):

Zhi-Yong Liu ◽

Kai-Chun Chiu ◽

Lei Xu

Keyword(s):

Line Detection ◽

Strip Line ◽

Local Pca

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Estimation of Rank Deficient Matrices from Partial Observations: Two-Step Iterative Algorithms

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/978-3-540-45063-4_29 ◽

2003 ◽

pp. 450-466 ◽

Cited By ~ 17

Author(s):

Rui F. C. Guerreiro ◽

Pedro M. Q. Aguiar

Keyword(s):

Iterative Algorithms ◽

Partial Observations

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A MAP Estimation Algorithm Using IIR Recursive Filters

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/978-3-540-45063-4_28 ◽

2003 ◽

pp. 436-449 ◽

Cited By ~ 7

Author(s):

João M. Sanches ◽

Jorge S. Marques

Keyword(s):

Estimation Algorithm ◽

Map Estimation ◽

Recursive Filters

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Watershed-Based Unsupervised Clustering

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/978-3-540-45063-4_6 ◽

2003 ◽

pp. 83-94 ◽

Cited By ~ 3

Author(s):

Manuele Bicego ◽

Marco Cristani ◽

Andrea Fusiello ◽

Vittorio Murino

Keyword(s):

Unsupervised Clustering

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EM Algorithm for Clustering an Ensemble of Graphs with Comb Matching

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/978-3-540-45063-4_4 ◽

2003 ◽

pp. 52-67 ◽

Cited By ~ 8

Author(s):

Miguel Angel Lozano ◽

Francisco Escolano

Keyword(s):

Em Algorithm

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Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern RecognitionLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Hierarchical Annealing for Random Image Synthesis

Separating a Texture from an Arbitrary Background Using Pairwise Grey Level Cooccurrences

Definition of a Signal-to-Noise Ratio for Object Segmentation Using Polygonal MDL-Based Statistical Snakes

Semi-supervised Image Segmentation by Parametric Distributional Clustering

Contextual and Non-combinatorial Approach to Feature Extraction

Local PCA for Strip Line Detection and Thinning

Estimation of Rank Deficient Matrices from Partial Observations: Two-Step Iterative Algorithms

A MAP Estimation Algorithm Using IIR Recursive Filters

Watershed-Based Unsupervised Clustering

EM Algorithm for Clustering an Ensemble of Graphs with Comb Matching

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition
Latest Publications