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MCS
2004
Springer
15 years 6 months ago
An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems
The ECOC framework provides a powerful and popular method for solving multiclass problems using a multitude of binary classifiers. We had recently introduced the Binary Hierarchica...
Suju Rajan, Joydeep Ghosh
110
Voted
IANDC
2008
150views more  IANDC 2008»
15 years 26 days ago
Hierarchical combination of intruder theories
Recently automated deduction tools have proved to be very effective for detecting attacks on cryptographic protocols. These analysis can be improved, for finding more subtle weakn...
Yannick Chevalier, Michaël Rusinowitch
BMVC
2010
14 years 10 months ago
Graph-based Analysis of Textured Images for Hierarchical Segmentation
The Texture Fragmentation and Reconstruction (TFR) algorithm has been recently introduced [9] to address the problem of image segmentation by textural properties, based on a suita...
Raffaele Gaetano, Giuseppe Scarpa, Tamás Sz...
110
Voted
ICCV
2009
IEEE
14 years 10 months ago
Associative hierarchical CRFs for object class image segmentation
Most methods for object class segmentation are formulated as a labelling problem over a single choice of quantisation of an image space - pixels, segments or group of segments. It...
Lubor Ladicky, Christopher Russell, Pushmeet Kohli...
CVPR
2011
IEEE
14 years 4 months ago
A Hierarchical Conditional Random Field Model for Labeling and Segmenting Images of Street Scenes
Simultaneously segmenting and labeling images is a fundamental problem in Computer Vision. In this paper, we introduce a hierarchical CRF model to deal with the problem of labelin...
Qixing Huang, Mei Han, Bo Wu, Sergey Ioffe