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ECML
2004
Springer
14 years 1 months ago
The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering
This work presents a novel procedure for computing (1) distances between nodes of a weighted, undirected, graph, called the Euclidean Commute Time Distance (ECTD), and (2) a subspa...
Marco Saerens, François Fouss, Luh Yen, Pie...
SAC
2004
ACM
14 years 1 months ago
Similarity between Euclidean and cosine angle distance for nearest neighbor queries
Understanding the relationship among different distance measures is helpful in choosing a proper one for a particular application. In this paper, we compare two commonly used dis...
Gang Qian, Shamik Sural, Yuelong Gu, Sakti Pramani...
ICRA
2010
IEEE
116views Robotics» more  ICRA 2010»
13 years 6 months ago
Learning visibility of landmarks for vision-based localization
— We aim to perform robust and fast vision-based localization using a pre-existing large map of the scene. A key step in localization is associating the features extracted from t...
Pablo Fernández Alcantarilla, Sang Min Oh, ...
PRL
2006
129views more  PRL 2006»
13 years 7 months ago
Learning spatial relations in object recognition
This paper studies two types of spatial relationships that can be learned from training examples for object recognition. The first one employs deformable relationships between obj...
Thang V. Pham, Arnold W. M. Smeulders
SMA
2003
ACM
138views Solid Modeling» more  SMA 2003»
14 years 26 days ago
Associativity between feature models across domains
Associativity between feature models implies the automatic updating of different feature models of a part after changes are made in one of its feature models. This is an importan...
S. Subramani, Balan Gurumoorthy