Integrating local classifiers through nonlinear dynamics on label graphs with an application to image segmentation

No abstract is available for this paper.

• Publication year

  2011

• Venue

  Vision

• Publication date

  2011-11-06

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1109/ICCV.2011.6126553
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Contour Detection and Hierarchical Image Segmentation

  2011cited by this paper
• On Herding and the Perceptron Cycling Theorem

  2010cited by this paper
• Herding dynamical weights to learn

  2009cited by this paper
• Class segmentation and object localization with superpixel neighborhoods

  2009influential reference
• Learning Conditional Random Fields for Stereo

  2007cited by this paper
• Learning Gaussian Conditional Random Fields for Low-Level Vision

  2007cited by this paper
• Hidden Conditional Random Fields

  2007cited by this paper
• Discriminative Random Fields

  2006cited by this paper
• Multiscale conditional random fields for image labeling

  2004cited by this paper
• Interactive Image Segmentation Using an Adaptive GMMRF Model

  2004cited by this paper
• Max-Margin Markov Networks

  2003cited by this paper
• What energy functions can be minimized via graph cuts?

  2002cited by this paper
• Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data

  2001cited by this paper
• Fast approximate energy minimization via graph cuts

  2001cited by this paper
• An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision

  2001cited by this paper

• Herding Generalizes Diverse M -Best Solutions

  2016cites this paper
• On feature-specific parameter learning in conditional random field-based approach for interactive object segmentation

  2015cites this paper
• 1 Herding for Structured Prediction

  2014influential citation
• 1 Herding for Structured Prediction

  2014influential citation
• Advanced Structured Prediction

  2014influential citation
• Herding for Structured Prediction

  2014cites this paper
• 1 Herding for Structured Prediction

  2014influential citation
• Making Computer Vision Computationally Efficient

  2012cites this paper