The genome of black cottonwood, Populus trichocarpa (Torr. & Gray) (2006)
Tuskan, G.A., DiFazio, S., Jansson, S., Bohlmann, J., Grigoriev, I., Hellsten, U., ...
Collecting ground truth annotations for drum detection in polyphonic music (2005)
Tanghe, K, Lesaffre, M, Degroeve, S, Leman, M, De Baets, B, Martens, J
In order to train and test algorithms that can automatically detect drum events in polyphonic music, ground truth data is needed. This paper describes a setup used for gathering manual annotations...
A simulated annealing optimization of audio features for drum classification (2005)
Degroeve, S, Tanghe, K, De Baets, B, Leman, M, Martens, J
Current methods for the accurate recognition of instruments within music are based on discriminative data descriptors. These are features of the music fragment that capture the characteristics of the...
Support Vector Machines for Bass and Snare Drum Recognition (2005)
Van Steelant, D, Tanghe, K, Degroeve, S, De Baets, B, Leman, M, Martens, J
In this paper we attempt to extract information concerning percussive instruments from a musical audio signal. High-dimensional vectors of descriptors are computed from the signal and classified by...
Feature selection for splice site prediction: A new method using EDA-based feature ranking (2004)
Saeys, Y, Degroeve, S, Aeyels, D, Rouze, P
Background: The identification of relevant biological features in large and complex datasets is an important step towards gaining insight in the processes underlying the data. Other advantages of...
Digging into acceptor splice site prediction: An iterative feature selection approach (2004)
Feature selection techniques are often used to reduce data dimensionality, increase classification performance, and gain insight into the processes that generated the data. In this paper, we describe...
Classification of percussive sounds using support vector machines (2004)
D. Van Steelant, K. Tanghe, S. Degroeve, B. De Baets, M. Leman
With the explosive growth of the amount of digital music available on the Internet, Musical Information Retrieval (MIR) has become a topic that has attracted the attention of researchers