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» Octree approximation and compression methods
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TSP
2010
13 years 2 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
DCC
2005
IEEE
14 years 7 months ago
Towards Practical Minimum-Entropy Universal Decoding
Minimum-entropy decoding is a universal decoding algorithm used in decoding block compression of discrete memoryless sources as well as block transmission of information across di...
Todd P. Coleman, Muriel Médard, Michelle Ef...
ICDM
2009
IEEE
105views Data Mining» more  ICDM 2009»
14 years 2 months ago
Multi-document Summarization by Information Distance
—We are now living in a world where information is growing and updating quickly. Knowledge can be acquired more efficiently with the help of automatic document summarization and...
Chong Long, Minlie Huang, Xiaoyan Zhu, Ming Li
ICIP
2007
IEEE
14 years 1 months ago
Packet Loss Resilient Transmission of 3D Models
This paper presents an efficient joint source-channel coding scheme based on forward error correction (FEC) for three dimensional (3D) models. The system employs a wavelet based ...
M. Oguz Bici, Andrey Norkin, Gozde Bozdagi Akar
ANNPR
2008
Springer
13 years 9 months ago
Patch Relational Neural Gas - Clustering of Huge Dissimilarity Datasets
Clustering constitutes an ubiquitous problem when dealing with huge data sets for data compression, visualization, or preprocessing. Prototype-based neural methods such as neural g...
Alexander Hasenfuss, Barbara Hammer, Fabrice Rossi