MIR
2003
ACM
13 years 10 months ago
2003
ACM
In visual information retrieval the careful choice of suitable proximity measures is a crucial success factor. The evaluation presented in this paper aims at showing that the dist...
SWAT
2004
Springer
13 years 10 months ago
2004
Springer
For a collection F of d-variate piecewise linear functions of overall combinatorial complexity n, the lower envelope E(F) of F is the pointwise minimum of these functions. The min...
ICIAR
2005
Springer
13 years 10 months ago
2005
Springer
We consider quantitatively establishing the discriminative power of iris biometric data. It is difficult, however, to establish that any biometric modality is capable of distingui...
EUROGP
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. This paper explores distance measures based on genetic operators for genetic programming using tree structures. The consistency between genetic operators and distance mea...
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
Many practical applications require that distance measures to be asymmetric and context-sensitive. We introduce Context-sensitive Learnable Asymmetric Dissimilarity (CLAD) measure...
SGAI
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. We propose a new class of distance measures (metrics) designed for multisets, both of which are a recurrent theme in many data mining applications. One particular instanc...
SEMWEB
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. We propose semantic distance measures based on the criterion of approximate discernibility and on evidence combination. In the presence of incomplete knowledge, the dista...
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Tree edit distance is one of the most frequently used distance measures for comparing trees. When using the tree edit distance, we need to determine the cost of each operation, bu...
SSD
2009
Springer
13 years 11 months ago
2009
Springer
ELKI is a uni ed software framework, designed as a tool suitable for evaluation of dierent algorithms on high dimensional realvalued feature-vectors. A special case of high dimens...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
The goal of image categorization is to classify a collection of unlabeled images into a set of predefined classes to support semantic-level image retrieval. The distance measures ...