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» Model Kit for Lightweight Data Compression Algorithms
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DCC
2003
IEEE
15 years 5 months ago
Rate-Distortion Bound for Joint Compression and Classification
- Rate-distortion theory is applied to the problem of joint compression and classification. A Lagrangian distortion measure is used to consider both the squared Euclidean error in ...
Yanting Dong, Lawrence Carin
CGF
2005
111views more  CGF 2005»
14 years 11 months ago
Hierarchyless Simplification, Stripification and Compression of Triangulated Two Manifolds
In this paper we explore the algorithmic space in which stripification, simplification and geometric compression of triangulated 2-manifolds overlap. Edge-collase/uncollapse based...
Pablo Diaz-Gutierrez, Meenakshisundaram Gopi, Rena...
ICMCS
2005
IEEE
116views Multimedia» more  ICMCS 2005»
15 years 5 months ago
Lossless image compression with tree coding of magnitude levels
With the rapid development of digital technology in consumer electronics, the demand to preserve raw image data for further editing or repeated compression is increasing. Traditio...
Hua Cai, Jiang Li
NIPS
1997
15 years 29 days ago
EM Algorithms for PCA and SPCA
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Sam T. Roweis
TIT
2002
129views more  TIT 2002»
14 years 11 months ago
Arbitrary source models and Bayesian codebooks in rate-distortion theory
-- We characterize the best achievable performance of lossy compression algorithms operating on arbitrary random sources, and with respect to general distortion measures. Direct an...
Ioannis Kontoyiannis, Junshan Zhang