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WBIR
2010
SPRINGER
13 years 5 months ago
Normalized Measures of Mutual Information with General Definitions of Entropy for Multimodal Image Registration
Abstract. Mutual information (MI) was introduced for use in multimodal image registration over a decade ago [1,2,3,4]. The MI between two images is based on their marginal and join...
Nathan D. Cahill
VLDB
2011
ACM
245views Database» more  VLDB 2011»
13 years 2 months ago
Normalization and optimization of schema mappings
Schema mappings are high-level specifications that describe the relationship between two database schemas. They are an important tool in several areas of database research, notab...
Georg Gottlob, Reinhard Pichler, Vadim Savenkov
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
14 years 8 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
PR
2007
180views more  PR 2007»
13 years 7 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 ...
PAMI
2010
112views more  PAMI 2010»
13 years 6 months ago
Polynomial Time Algorithms for Ratio Regions and a Variant of Normalized Cut
—In partitioning, clustering, and grouping problems, a typical goal is to group together similar objects, or pixels in the case of image processing. At the same time, another goa...
Dorit S. Hochbaum