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» Learning Compressible Models
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ADVCS
2007
108views more  ADVCS 2007»
14 years 10 months ago
Open Synchronous Cellular Learning Automata
Cellular learning automata is a combination of learning automata and cellular automata. This model is superior to cellular learning automata because of its ability to learn and als...
Hamid Beigy, Mohammad Reza Meybodi
ICIP
2003
IEEE
15 years 11 months ago
An entropy based segmentation algorithm for computer-generated document images
This paper presents an efficient compression-oriented segmentation algorithm for computer-generated document images. In this algorithm, a document image is represented in a block-...
Lijie Liu, Yan Dong, Xiaomu Song, Guoliang Fan
ICIP
2000
IEEE
15 years 11 months ago
On Data-Filling Algorithms for MRC Layers
A recently adopted standard, the Mixed Raster Content (MRC) imaging model, represents compound images as a superposition of layers. Since layers are superimposed, large regions ma...
Ricardo L. de Queiroz
116
Voted
PERCOM
2005
ACM
15 years 3 months ago
A Distributed System for Answering Range Queries on Sensor Network Data
A distributed system for approximate query answering on sensor network data is proposed, where a suitable compression technique is exploited to represent data and support query an...
Alfredo Cuzzocrea, Filippo Furfaro, Sergio Greco, ...
ISCAS
2003
IEEE
108views Hardware» more  ISCAS 2003»
15 years 3 months ago
View-dependent transmission of 3-D normal meshes
—A unified approach to rate-distortion (R-D) optimized compression and view-dependent transmission of three-dimensional (3-D) normal meshes is investigated in this work. A norma...
Jae-Young Sim, Chang-Su Kim, C. C. Jay Kuo, Sang U...