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» Efficient Distance Computation Between Non-Convex Objects
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ICDE
1999
IEEE
139views Database» more  ICDE 1999»
14 years 9 months ago
Clustering Large Datasets in Arbitrary Metric Spaces
Clustering partitions a collection of objects into groups called clusters, such that similar objects fall into the same group. Similarity between objects is defined by a distance ...
Venkatesh Ganti, Raghu Ramakrishnan, Johannes Gehr...
CVPR
2003
IEEE
14 years 9 months ago
Many-to-Many Graph Matching via Metric Embedding
Graph matching is an important component in many object recognition algorithms. Although most graph matching algorithms seek a one-to-one correspondence between nodes, it is often...
Yakov Keselman, Ali Shokoufandeh, M. Fatih Demirci...
ISSTA
2006
ACM
14 years 1 months ago
Object distance and its application to adaptive random testing of object-oriented programs
Testing with random inputs can give surprisingly good results if the distribution of inputs is spread out evenly over the input domain; this is the intuition behind Adaptive Rando...
Ilinca Ciupa, Andreas Leitner, Manuel Oriol, Bertr...
PAMI
2010
162views more  PAMI 2010»
13 years 2 months ago
Differential Earth Mover's Distance with Its Applications to Visual Tracking
The Earth Mover's Distance (EMD) is a similarity measure that captures perceptual difference between two distributions. Its computational complexity, however, prevents a direc...
Qi Zhao, Zhi Yang, Hai Tao
CVPR
2009
IEEE
1385views Computer Vision» more  CVPR 2009»
15 years 13 days ago
Distance Transform Templates for Object Detection and Pose Estimation
We propose a new approach for detecting low textured planar objects and estimating their 3D pose. Standard matching and pose estimation techniques often depend on texture and fe...
Stefan Holzer, Stefan Hinterstoisser, Slobodan Ili...