The need for appropriate ways to measure the distance or similarity between data is
ubiquitous in machine learning, pattern recognition and data mining, but handcrafting such …

Similarity between objects plays an important role in both human cognitive processes and
artificial systems for recognition and categorization. How to appropriately measure such …

We describe tree edit models for representing sequences of tree transformations involving
complex reordering phenomena and demonstrate that they offer a simple, intuitive, and …

In this paper, we propose a survey concerning the state of the art of the graph matching
problem, conceived as the most important element in the definition of inductive inference …

A range of Natural Language Processing tasks involve making judgments about the
semantic relatedness of a pair of sentences, such as Recognizing Textual Entailment (RTE) …

This paper deals with a history of microelectromechanical system (MEMS) development in
this decade. An overview of the MEMS research topics is also given. The topics include …

Similarity functions are a fundamental component of many learning algorithms. When
dealing with string or tree-structured data, measures based on the edit distance are widely …

Metric learning constitutes a well-investigated field for vectorial data with successful
applications, eg in computer vision, information retrieval, or bioinformatics. One particularly …

XML-based documents play a major role in modern information architectures and their
corresponding workflows. In this context, the ability to identify and represent differences …

” Informatique” se dit” Computer Science”(littéralement” science du calculateur”) en anglais,
et””(littéralement” technologie de l'information”) en arabe. Le mot en français est intéressant …