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» Qualitative Map Learning Based on Co-visibility of Objects
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FLAIRS
2001
14 years 11 months ago
Time Series Analysis Using Unsupervised Construction of Hierarchical Classifiers
Recently we have proposed an algorithm of constructing hierarchical neural network classifiers (HNNC), that is based on a modification of error back-propagation. This algorithm co...
S. A. Dolenko, Yu. V. Orlov, I. G. Persiantsev, Ju...
119
Voted
PRDC
2009
IEEE
15 years 4 months ago
Quantifying Criticality of Dependability-Related IT Organization Processes in CobiT
—With ever-growing complexity of computer and communication systems analytical methods do not scale, especially with respect to dependability assessment of information technology...
Tobias Goldschmidt, Andreas Dittrich, Miroslaw Mal...
83
Voted
ICCV
2005
IEEE
15 years 11 months ago
The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features
Discriminative learning is challenging when examples are sets of features, and the sets vary in cardinality and lack any sort of meaningful ordering. Kernel-based classification m...
Kristen Grauman, Trevor Darrell
CVPR
2004
IEEE
15 years 11 months ago
A Graphical Model Framework for Coupling MRFs and Deformable Models
This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to r...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
CVPR
2012
IEEE
13 years 3 days ago
Boosting bottom-up and top-down visual features for saliency estimation
Despite significant recent progress, the best available visual saliency models still lag behind human performance in predicting eye fixations in free-viewing of natural scenes. ...
Ali Borji