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CORR
2011
Springer
174views Education» more  CORR 2011»
14 years 8 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
16 years 1 months ago
On Segment-Based Stream Modeling and Its Applications.
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
Charu C. Aggarwal
ICIP
2008
IEEE
16 years 5 months ago
A perceptual metric for blind measurement of blocking artifacts with applications in transform-block-based image and video codin
In this paper, we analyze the formation of blocking artifacts as a result of quantization of the discrete cosine transform (DCT) coefficients. These artifacts are known to be the ...
Koohyar Minoo, Truong Q. Nguyen
ICIP
2005
IEEE
16 years 5 months ago
Variable module graphs: a framework for inference and learning in modular vision systems
We present a novel and intuitive framework for building modular vision systems for complex tasks such as surveillance applications. Inspired by graphical models, especially factor...
Amit Sethi, Mandar Rahurkar, Thomas S. Huang
ICIP
2004
IEEE
16 years 5 months ago
Texture analysis using adaptive biorthogonal wavelet packets
We discuss the use of adaptive biorthogonal wavelet packet bases in a probabilistic approach to texture analysis, thus combining the advantages of biorthogonal wavelets (FIR, line...
G. Charith K. Abhayaratne, Ian Jermyn, Josiane Zer...