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» A new similarity measure using hausdorff distance map
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BIBM
2008
IEEE
212views Bioinformatics» more  BIBM 2008»
14 years 3 months ago
Analysis of Multiplex Gene Expression Maps Obtained by Voxelation
Background: Gene expression signatures in the mammalian brain hold the key to understanding neural development and neurological disease. Researchers have previously used voxelatio...
Li An, Hongbo Xie, Mark H. Chin, Zoran Obradovic, ...
CVPR
2001
IEEE
14 years 10 months ago
Adaptive Quasiconformal Kernel Metric for Image Retrieval
This paper presents a new approach to ranking relevant images for retrieval. Distance in the feature space associated with a kernel is used to rank relevant images. An adaptive qu...
Douglas R. Heisterkamp, Jing Peng, H. K. Dai
IPMI
2005
Springer
14 years 9 months ago
Multi-dimensional Mutual Information Based Robust Image Registration Using Maximum Distance-Gradient-Magnitude
In this paper, a novel spatial feature, namely maximum distance-gradient-magnitude (MDGM), is defined for registration tasks. For each voxel in an image, the MDGM feature encodes s...
Rui Gan, Albert C. S. Chung
UAI
2003
13 years 10 months ago
Learning Generative Models of Similarity Matrices
Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
Rómer Rosales, Brendan J. Frey
SEMWEB
2010
Springer
13 years 6 months ago
A Feature and Information Theoretic Framework for Semantic Similarity and Relatedness
Abstract. Semantic similarity and relatedness measures between ontology concepts are useful in many research areas. While similarity only considers subsumption relations to assess ...
Giuseppe Pirrò, Jérôme Euzenat