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» Maximum entropy methods for biological sequence modeling
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IJIT
2004
13 years 10 months ago
Computing Entropy for Ortholog Detection
Abstract-- Biological sequences from different species are called orthologs if they evolved from a sequence of a common ancestor species and they have the same biological function....
Hsing-Kuo Pao, John Case
ICTAI
2007
IEEE
14 years 3 months ago
A Probabilistic Substructure-Based Approach for Graph Classification
The classification of graph based objects is an important challenge from a knowledge discovery standpoint and has attracted considerable attention recently. In this paper, we pres...
H. D. K. Moonesinghe, Hamed Valizadegan, Samah Jam...
IJCNLP
2005
Springer
14 years 2 months ago
A Chunking Strategy Towards Unknown Word Detection in Chinese Word Segmentation
This paper proposes a chunking strategy to detect unknown words in Chinese word segmentation. First, a raw sentence is pre-segmented into a sequence of word atoms 1 using a maximum...
Guodong Zhou
MVA
2007
173views Computer Vision» more  MVA 2007»
13 years 10 months ago
Microscopic Image Segmentation with Two-dimensional Exponential Entropy Based on Hybrid Microcanonical Annealing
Counting cells and following the evolution of the biological layers are important applications in microscopic imagery. In this paper, a microscopic image segmentation method with ...
Amir Nakib, Hamouche Oulhadj, Patrick Siarry
ECCV
2002
Springer
14 years 11 months ago
Resolution Selection Using Generalized Entropies of Multiresolution Histograms
The performances of many image analysis tasks depend on the image resolution at which they are applied. Traditionally, resolution selection methods rely on spatial derivatives of i...
Efstathios Hadjidemetriou, Michael D. Grossberg, S...