Efficient learning of a data analysis task strongly depends on the data representation. Most
methods rely on (symmetric) similarity or dissimilarity representations by means of metric …

Music can produce a positive effect in runners' motivation and performance. Nevertheless,
these effects vary depending on the user's location, the emotions that she/he feels at each …

Data deduplication is of critical importance to reduce the storage cost for clients and to
relieve the unnecessary storage pressure for cloud servers. While various techniques have …

Cloud storage technology is constantly evolving, resulting in a significant amount of
duplicate data being stored in the cloud, particularly multimedia data such as images and …

The recently proposed Krĕin space Support Vector Machine (KSVM) is an efficient classifier
for indefinite learning problems, but with quadratic to cubic complexity and a non-sparse …

Life science data are often encoded in a non-standard way by means of alpha-numeric
sequences, graph representations, numerical vectors of variable length, or other formats …

Music similarity is a multidimensional concept to which so-called “sub-similarities”, such as
timbre and rhythm similarity, contribute. In this study, two models are presented: one for …

Efficiently and securely removing encrypted redundant data with cross-user in the cloud is
challenging. Convergent Encryption (CE) is difficult to resist dictionary attacks for its …

Embodiments of the present invention relate to audio object extraction. A method for audio
object extraction from audio content of a format based on a plurality of channels is disclosed …

Music similarity is known to be a multi-dimensional concept, depending among others on
rhythm similarity and timbre similarity. The present study aims to investigate whether such …