SDM
2008
SIAM
14 years 1 months ago
2008
SIAM
Measuring similarity or distance between two entities is a key step for several data mining and knowledge discovery tasks. The notion of similarity for continuous data is relative...
IJCAI
2007
14 years 1 months ago
2007
Image alignment refers to finding the best transformation from a fixed reference image to a new image of a scene. This process is often guided by similarity measures between ima...
LREC
2008
14 years 1 months ago
2008
Deep processing of natural language requires large scale lexical resources that have sufficient coverage at a sufficient level of detail and accuracy (i.e. both recall and precisi...
ICONIP
2008
14 years 1 months ago
2008
A variety of (dis)similarity measures for one-dimensional point processes (e.g., spike trains) are investigated, including the Victor-Purpura distance metric, the van Rossum distan...
ESANN
2008
14 years 1 months ago
2008
We propose an original automatic alignment of definitions taken from different dictionaries that could be associated to the same concept although they may have different labels. Th...
ECIR
2007
Springer
14 years 1 months ago
2007
Springer
Measuring the similarity between documents and queries has been extensively studied in information retrieval. However, there are a growing number of tasks that require computing th...
DAGSTUHL
2007
14 years 1 months ago
2007
Abstract. The analysis of complex signals as obtained by mass spectrometric measurements is complicated and needs an appropriate representation of the data. Thereby the kind of pre...
ACL
2008
14 years 1 months ago
2008
Distributional similarity has been widely used to capture the semantic relatedness of words in many NLP tasks. However, various parameters such as similarity measures must be hand...
IQIS
2007
ACM
14 years 2 months ago
2007
ACM
Approximate join is an important part of many data cleaning and integration methodologies. Various similarity measures have been proposed for accurate and efficient matching of st...
EWCBR
2008
Springer
14 years 2 months ago
2008
Springer
Abstract. Credible case-based inference (CCBI) is a new and theoretically sound inferencing mechanism for case-based systems. In this paper, we formally investigate the level of pr...