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» Using minimum description length for process mining
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77
Voted
AICCSA
2006
IEEE
77views Hardware» more  AICCSA 2006»
15 years 1 months ago
Evaluation of Breast Cancer Tumor Classification with Unconstrained Functional Networks Classifier
This paper proposes functional networks as an unconstrained classifier scheme for multivariate data to diagnose the breast cancer tumor. The performance of this new technique is m...
Emad A. El-Sebakhy, Kanaan A. Faisal, Tarek Helmy,...
ISMB
1996
14 years 11 months ago
Discovering Patterns and Subfamilies in Biosequences
Weconsider the problemof automaticdiscoveryof patterns and the corresponding subfamilies in a set of biosequences. Thesequences are unaligned and may contain noise of unknownlevel...
Alvis Brazma, Inge Jonassen, Esko Ukkonen, Jaak Vi...
CSB
2003
IEEE
113views Bioinformatics» more  CSB 2003»
15 years 3 months ago
An Optimal DNA Segmentation Based on the MDL Principle
: The biological world is highly stochastic and inhomogeneous in its behaviour. There are regions in DNA with high concentration of G or C bases; stretches of sequences with an abu...
Wojciech Szpankowski, Wenhui Ren, Lukasz Szpankows...
87
Voted
ICIP
1998
IEEE
15 years 2 months ago
Multiple-Description Wavelet based Image Coding
Abstract--We consider the problem of coding images for transmission over error-prone channels. The impairments we target are transient channel shutdowns, as would occur in a packet...
Sergio D. Servetto, Kannan Ramchandran, Vinay A. V...
98
Voted
ACCV
2009
Springer
15 years 4 months ago
Natural Image Segmentation with Adaptive Texture and Boundary Encoding
We present a novel algorithm for unsupervised segmentation of natural images that harnesses the principle of minimum description length (MDL). Our method is based on observations ...
Shankar Rao, Hossein Mobahi, Allen Y. Yang, Shanka...