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BACKGROUND AND OBJECTIVE There is limited information on overweight and obesity in Saudi children and adolescents. The objective of this study was to establish the national prevalence of overweight and obesity in Saudi children and adolescents. METHODS The 2005 Saudi reference data set was used to calculate the body mass index (BMI) for children aged 5 to(More)
For the task of sound source recognition, we introduce a novel data set based on 6.8 hours of domestic environment audio recordings. We describe our approach of obtaining annotations for the recordings. Further, we quantify agreement between obtained annotations. Finally, we report baseline results for sound source recognition using the obtained dataset.(More)
BACKGROUND AND OBJECTIVES Because there are no reference standards for body mass index (BMI) in Saudi children, we established BMI reference percentiles for normal Saudi Arabian children and adolescents and compared them with international standards. SUBJECTS AND METHODS Data from a stratified multistage probability sample were collected from the 13(More)
We consider techniques for cover song detection, based on information theoretic notions of compressibility. We propose methods for computing the normalised compression distance (NCD), while accounting for correlation between time series. Secondly, we describe methods based on cross-prediction for estimating compress-ibility between sequences of(More)
BACKGROUND AND OBJECTIVES No previous study has provided a detailed description of regional variations of growth within the various regions of Saudi Arabia. Thus, we sought to demonstrate differences in growth of children and adolescents in different regions. SUBJECTS AND METHODS The 2005 Saudi reference was based on a cross-sectional representative(More)
This paper investigates methods for quantifying similarity between audio signals, specifically for the task of cover song detection. We consider an information-theoretic approach, where we compute pairwise measures of predictability between time series. We compare discrete-valued approaches operating on quantized audio features, to continuous-valued(More)
In this paper, we evaluate a set of methods for combining features for cover song identification. We first create multiple classifiers based on global tempo, duration, loudness, beats and chroma average features, training a random forest for each feature. Subsequently, we evaluate standard combination rules for merging these single classifiers into a(More)
—We describe an information-theoretic approach to the analysis of music and other sequential data, which emphasises the predictive aspects of perception, and the dynamic process of forming and modifying expectations about an unfolding stream of data, characterising these using the tools of information theory: entropies, mutual informations, and related(More)
This paper investigates techniques for predicting sequences of continuous-valued feature vectors extracted from musical audio. In particular, we consider prediction of beat-synchronous Mel-frequency cepstral coefficients and chroma features in a causal setting, where features are predicted as they unfold in time. The methods studied comprise autore-gressive(More)