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» On the Benefits of Representing Music Objects as Fuzzy Sets
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ECCV
2006
Springer
14 years 9 months ago
Learning Discriminative Canonical Correlations for Object Recognition with Image Sets
Abstract. We address the problem of comparing sets of images for object recognition, where the sets may represent arbitrary variations in an object's appearance due to changin...
Tae-Kyun Kim, Josef Kittler, Roberto Cipolla
ICMLA
2009
13 years 5 months ago
Structured Prediction Models for Chord Transcription of Music Audio
Chord sequences are a compact and useful description of music, representing each beat or measure in terms of a likely distribution over individual notes without specifying the not...
Adrian Weller, Daniel P. W. Ellis, Tony Jebara
ARTMED
2010
119views more  ARTMED 2010»
13 years 7 months ago
Fuzzy Arden Syntax: A fuzzy programming language for medicine
Objective: The programming language Arden Syntax has been optimised for use in clinical decision support systems. We describe an extension of this language named Fuzzy Arden Synta...
Thomas Vetterlein, Harald Mandl, Klaus-Peter Adlas...
ICASSP
2010
IEEE
13 years 7 months ago
Harmonic variable-size dictionary learning for music source separation
Dictionary learning through matrix factorization has become widely popular for performing music transcription and source separation. These methods learn a concise set of dictionar...
Steven K. Tjoa, Matthew C. Stamm, W. Sabrina Lin, ...
ICIAP
1997
ACM
13 years 11 months ago
The Terminological Image Retrieval Model
We present a model for image retrieval in which images are represented both at the form level, as sets of physical features of the representing objects, and at the content level, a...
Carlo Meghini, Fabrizio Sebastiani, Umberto Stracc...