Although statistical characteristics of audio features are widely used for similarity measure in most of current audio analysis systems and have been proved to be effective, they ...
Classifying an unknown input is a fundamental problem in pattern recognition. A common method is to define a distance metric between patterns and find the most similar pattern i...
Sung-Hyuk Cha, Charles C. Tappert, Sargur N. Sriha...
The number of ontologies publicly available and accessible through the web has increased in the last years, so that the task of finding similar terms1 among these structures becom...
We motivate the problem of music recommendation based solely on acoustics from groups of related songs or ‘song sets’. We propose four solutions which can be used with any aco...
The systematic testing of the very many parameters and algorithmic variants involved in the design of high-level music descriptors at large, and similarity measure in particular, ...
Correlation based matching typically produces dense depth maps by calculating the disparity at each pixel within a neighborhood. This is achieved by taking a square window of certa...
This paper describes the fourth participation of IR-n system (Alicante University) at CLEF conferences. At present conference, we have modified the similarity measure and the que...
This paper proposes a new approach and algorithm for the similarity measure of video clips. The similarity is mainly based on two bipartite graph matching algorithms: maximum matc...
Expressive knowledge representations with flexible semantic similarity measures are central for the functioning of semantic information retrieval, information integration, matchmak...
Abstract. Graph matching is often used for image recognition. Different kinds of graph matchings have been proposed such as (sub)graph isomorphism or error-tolerant graph matching...