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TIT
1998
123views more  TIT 1998»
14 years 9 months ago
The Minimum Description Length Principle in Coding and Modeling
—We review the principles of Minimum Description Length and Stochastic Complexity as used in data compression and statistical modeling. Stochastic complexity is formulated as the...
Andrew R. Barron, Jorma Rissanen, Bin Yu
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
15 years 10 months ago
Model compression
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
Cristian Bucila, Rich Caruana, Alexandru Niculescu...
PAMI
2007
241views more  PAMI 2007»
14 years 9 months ago
Extreme Compression and Modeling of Bidirectional Texture Function
The recent advanced representation for realistic real-world materials in virtual reality applications is the Bidirectional Texture Function (BTF) which describes rough texture app...
Michal Haindl, Jirí Filip
PCM
2005
Springer
142views Multimedia» more  PCM 2005»
15 years 3 months ago
Texture Coordinate Compression for 3-D Mesh Models Using Texture Image Rearrangement
Previous works related to texture coordinate coding of the three-dimensional(3-D) mesh models employed the same predictor as the geometry coder. However, discontinuities in the tex...
Sung-Yeol Kim, Young-Suk Yoon, Seung Man Kim, Kwan...
CORR
2010
Springer
95views Education» more  CORR 2010»
14 years 10 months ago
Statistical Compressive Sensing of Gaussian Mixture Models
A new framework of compressive sensing (CS), namely statistical compressive sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical dist...
Guoshen Yu, Guillermo Sapiro