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ICTAI
2009
IEEE
14 years 4 months ago
EBLearn: Open-Source Energy-Based Learning in C++
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
Pierre Sermanet, Koray Kavukcuoglu, Yann LeCun
SCIA
2005
Springer
113views Image Analysis» more  SCIA 2005»
14 years 3 months ago
Hierarchical Cell Structures for Segmentation of Voxel Images
We compare three hierarchical structures, S15, C15, C19, that are used to steer a segmentation process in 3d voxel images. There is an important topological difference between C19...
Lutz Priese, Patrick Sturm, Haojun Wang
ESTIMEDIA
2007
Springer
14 years 1 months ago
Still Image Processing on Coarse-Grained Reconfigurable Array Architectures
Due to the increasing demands on efficiency, performance and flexibility reconfigurable computational architectures are very promising candidates in embedded systems design. Recent...
Matthias Hartmann, Vasileios (Vassilis) Pantazis, ...
IPPS
2003
IEEE
14 years 2 months ago
Multi-Paradigm Framework for Parallel Image Processing
A software framework for the parallel execution of sequential programs using C++ classes is presented. The functional language Concurrent ML is used to implement the underlying ha...
David J. Johnston, Martin Fleury, Andy C. Downton