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» An Experiment with Distance Measures for Clustering
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PR
2007
180views more  PR 2007»
14 years 9 months ago
Hybrid image matching combining Hausdorff distance with normalized gradient matching
Image matching has been a central problem in computer vision and image processing for decades. Most of the previous approaches to image matching can be categorized into the intens...
Chyuan-Huei Thomas Yang, Shang-Hong Lai, Long-Wen ...
VLDB
2007
ACM
105views Database» more  VLDB 2007»
15 years 4 months ago
Extending Q-Grams to Estimate Selectivity of String Matching with Low Edit Distance
There are many emerging database applications that require accurate selectivity estimation of approximate string matching queries. Edit distance is one of the most commonly used s...
Hongrae Lee, Raymond T. Ng, Kyuseok Shim
IPMI
2005
Springer
15 years 10 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
CVBIA
2005
Springer
15 years 3 months ago
Distance-Intensity for Image Registration
In this paper, a novel one-element voxel attribute, namely distance-intensity (DI), is defined for associating spatial information with image intensity for registration tasks. For...
Rui Gan, Albert C. S. Chung
ICCV
2005
IEEE
15 years 11 months ago
Robust Path-Based Spectral Clustering with Application to Image Segmentation
Spectral clustering and path-based clustering are two recently developed clustering approaches that have delivered impressive results in a number of challenging clustering tasks. ...
Hong Chang, Dit-Yan Yeung