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» From Mixtures of Mixtures to Adaptive Transform Coding
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ISCIS
2003
Springer
14 years 2 months ago
Improved POCS-Based De-blocking Algorithm for Block-Transform Compressed Images
This paper presents a postprocessing technique based on the theory of projections onto convex sets (POCS) to reduce the blocking artifacts in low bit rate BDCT-coded images. In the...
Yoon Kim, Chun-Su Park, Kyunghun Jang, Sung-Jea Ko
WWW
2001
ACM
14 years 9 months ago
XML and XSLT Modeling for Multimedia Bitstream Manipulation
New devices gaining access to the Internet need to obtain multimedia content adapted to their limited capacities. Scalable formats allow to retrieve different versions of a single...
Sylvain Devillers
ENGL
2007
89views more  ENGL 2007»
13 years 8 months ago
Similarity-based Heterogeneous Neural Networks
This research introduces a general class of functions serving as generalized neuron models to be used in artificial neural networks. They are cast in the common framework of comp...
Lluís A. Belanche Muñoz, Julio Jose ...
TNN
2008
106views more  TNN 2008»
13 years 8 months ago
Unsupervised Segmentation With Dynamical Units
In this paper, we present a novel network to separate mixtures of inputs that have been previously learned. A significant capability of the network is that it segments the componen...
A. Ravishankar Rao, Guillermo A. Cecchi, Charles C...
MLDM
2005
Springer
14 years 2 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater