1. EMMCVPR 1997: Venice, Italy

@proceedings{DBLP:conf/emmcvpr/1997,
  editor    = {Marcello Pelillo and
               Edwin R. Hancock},
  title     = {Energy Minimization Methods in Computer Vision and Pattern Recognition,
               First International Workshop, EMMCVPR'97, Venice, Italy, May
               21-23, 1997, Proceedings},
  booktitle = {EMMCVPR},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {1223},
  year      = {1997},
  isbn      = {3-540-62909-2},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Contours and Deformable Models

• Douglas A. Miller, Steven W. Zucker:
  Reliable Computation and Related Games. 3-18
  
• Karvel K. Thornber, Lance R. Williams:
  Characterizing the Distribution of Completion Shapes with Corners Using a Mixture of Random Processes. 19-34
  
• Mário A. T. Figueiredo, José M. N. Leitão, Anil K. Jain:
  Adaptive Parametrically Deformable Contours. 35-50
  
• Laxmi Parida, Davi Geiger, Robert A. Hummel:
  Kona: A Multi-junction Detector Using Minimum Description Length Principle. 51-65
  
• Florence Tupin, Marc Sigelle, Ammar Chkeif, Jean-Pierre Véran:
  Restoration of SAR Images Using Recovery of Discontinuities and Non-linear Optimization. 67-82
  
• Daniel Rueckert, Peter Burger:
  Geometrically Deformable Templates for Shape-Based Segmentation and Tracking in Cardiac MR Images. 83-98
  

Markov Random Fields

• Jia-Ping Wang:
  Image Segmentation via Energy Minimization on Partitions with Connected Components. 101-116
  
• Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos, Aurora Hermoso:
  Restoration of Severely Blurred High Range Images Using Stochastic and Deterministic Relaxation Algorithms in Compound Gauss Markov Random Fields. 117-132
  
• Xavier Descombes, Robin D. Morris, Josiane Zerubia, Marc Berthod:
  Maximum Likelihood Estimation of Markov Random Field Parameters Using Markov Chain Monte Carlo Algorithms. 133-148
  
• Patrick Pérez, Jean-Marc Laferté:
  Noniterative Manipulation of Discrete Energy-Based Models for Image Analysis. 149-164
  
• S. A. Barker, Peter J. W. Rayner:
  Unsupervised Image Segmentation Using Markov Random Field Models. 165-178
  
• Toshiro Kubota, Terrance L. Huntsberger:
  Adaptive Anisotropic Parameter Estimation in the Weak Membrane Model. 179-194
  

Deterministic Methods

• Alan L. Yuille, James M. Coughlan:
  Twenty Questions, Focus of Attention, and A*: A Theoretical Comparison of Optimization Strategies. 197-212
  
• Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann:
  Deterministic Annealing for Unsupervised Texture Segmentation. 213-228
  
• Anand Rangarajan:
  Self Annealing: Unifying Deterministic Annealing and Relaxation Labelling. 229-244
  
• Hansjörg Klock, Joachim M. Buhmann:
  Multidimensional Scaling by Deterministic Annealing. 245-260
  
• Mark L. Williams, Richard C. Wilson, Edwin R. Hancock:
  Deterministic Search Stragtegies for Relational Graph Matching. 261-275
  

Object Recognition

• Yu Zhong, Anil K. Jain:
  Object Localization Using Color, Texture and Shape. 279-294
  
• Tyng-Luh Liu, Davi Geiger:
  Visual Deconstruction: Recognizing Articulated Objects. 295-309
  
• Joachim Hornegger, Heinrich Niemann:
  Optimization Problems in Statistical Object Recognition. 311-326
  

Evolutionary Search

• Shimon Ullman, Assaf Zeira:
  Object Recognition Using Stochastic Optimization. 329-344
  
• Richard Myers, Edwin R. Hancock:
  Genetic Algorithms for Ambiguous Labelling Problems. 345-360
  
• Stan Z. Li:
  Toward Global Solution to MAP Image Estimation: Using Common Structure of Local Solutions. 361-374
  
• Suchendra M. Bhandarkar, Xia Zeng:
  Figure-Ground Separation: A Case Study in Energy Minimization via Evolutionary Computing. 375-390
  

Structural Models

• Josef Kittler:
  Probabilistic Relaxation: Potential, Relationships and Open Problems. 393-408
  
• Marc Gelgon, Patrick Bouthemy:
  A Region-Level Motion-Based Graph Representation and Labelling for Tracking a Spatial Image Partition. 409-424
  
• Andrew M. Finch, Richard C. Wilson, Edwin R. Hancock:
  An Expectation-Maximisation Approach to Graph Matching. 425-439
  
• Robert Azencott, Laurent Younes:
  An Energy Minimization Method for Matching and Comparing Structured Object Representations. 441-456
  

Applications

• Pascal Fua:
  Consistent Modelling of Terrain and Drainage Using Deformable Models. 459-474
  
• Vittorio Murino:
  Integration of Confidence Information by Markov Random Fields for Reconstruction of Underwater 3D Acoustic Images. 475-490
  
• Maurice Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy:
  Unsupervised Segmentation Applied on Sonar Images. 491-506
  
• Chris A. Glasbey:
  SAR Image Registration and Segmentation Using an Estimated DEM. 507-520
  
• Francisco Escolano, Miguel Cazorla, Domingo Gallardo, Ramón Rizo:
  Deformable Templates for Tracking and Analysis of Intravascular Ultrasound Sequences. 521-534
  
• Antonella Branca, Ettore Stella, Arcangelo Distante:
  Motion Correspondence Through Energy Minimization. 535-548
  

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