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EMNLP
2008
15 years 4 months ago
Learning Graph Walk Based Similarity Measures for Parsed Text
We consider a parsed text corpus as an instance of a labelled directed graph, where nodes represent words and weighted directed edges represent the syntactic relations between the...
Einat Minkov, William W. Cohen
MVA
2007
189views Computer Vision» more  MVA 2007»
15 years 4 months ago
Localization of Optic Disk Using Independent Component Analysis and Modified Structural Similarity Measure
Localization and segmentation of Optic Disk (OD) is an important prerequisite for automatic detection of Diabetic Retinopathy (DR) from digital retinal fundus images. Considerable...
S. Balasubramanian, Srikanth Khanna, V. Chandrasek...
DMIN
2006
151views Data Mining» more  DMIN 2006»
15 years 4 months ago
Rough Set Theory: Approach for Similarity Measure in Cluster Analysis
- Clustering of data is an important data mining application. One of the problems with traditional partitioning clustering methods is that they partition the data into hard bound n...
Shuchita Upadhyaya, Alka Arora, Rajni Jain
CANDC
2006
ACM
15 years 3 months ago
A comment on "Prediction of protein structural classes by a new measure of information discrepancy"
Protein structural class describes the overall folding type of a protein or its domain. A number of methods were developed to predict protein structural class based on its primary...
Kanaka Durga Kedarisetti, Lukasz A. Kurgan, Scott ...
ICASSP
2011
IEEE
14 years 7 months ago
Non-parametric bayesian measurement noise density estimation in non-linear filtering
In this study, we investigate online Bayesian estimation of the measurement noise density of a given state space model using particle filters and Dirichlet process mixtures. Diri...
Emre Özkan, Saikat Saha, Fredrik Gustafsson, ...