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» Randomness and the linear degrees of computability
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CVPR
2005
IEEE
16 years 1 months ago
Fields of Experts: A Framework for Learning Image Priors
We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The appro...
Stefan Roth, Michael J. Black
ECCV
2004
Springer
16 years 1 months ago
Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Inherent Limitations
Abstract. A dynamic visual search framework based mainly on innerscene similarity is proposed. Algorithms as well as measures quantifying the difficulty of search tasks are suggest...
Tamar Avraham, Michael Lindenbaum
ICIP
2007
IEEE
16 years 1 months ago
Encoding Parameter Estimation for RDTC Optimized Compression and Streaming of Image-Based Scene Representations
Remote navigation in image-based scene representations requires random access to parts of the compressed reference image data to compose virtual views. The degree of dependencies ...
Ingo Bauermann, Eckehard G. Steinbach
ICIP
2007
IEEE
16 years 1 months ago
Analysis of the Decoding-Complexity of Compressed Image-Based Scene Representations
Interactive navigation in image-based scenes requires random access to the compressed reference image data. When using state of the art block-based hybrid video coding techniques,...
Ingo Bauermann, Eckehard G. Steinbach
GECCO
2009
Springer
118views Optimization» more  GECCO 2009»
15 years 6 months ago
The impact of network topology on self-organizing maps
In this paper, we study instances of complex neural networks, i.e. neural networks with complex topologies. We use Self-Organizing Map neural networks whose neighborhood relations...
Fei Jiang, Hugues Berry, Marc Schoenauer