The goal of the “Emotion in Music” task in MediaEval 2015 is to automatically estimate the emotions expressed by music (in terms of Arousal and Valence) in a time-continuous fashion. In this paper, considering the high context correlation among the music feature sequence, we study several multiscale approaches at different levels, including acoustic feature learning with Deep Brief Networks (DB...

We discuss the relative merits of optimistic and randomized approaches to exploration in reinforcement learning. Optimistic approaches presented in the literature apply an optimistic boost to the value estimate at each state-action pair and select actions that are greedy with respect to the resulting optimistic value function. Randomized approaches sample from among statistically plausible valu...

Introduction An influential conjecture in neuroscience states that a brain organized according to principles of hierarchical predictive coding (HPC) can effectively and efficiently perform genuine Bayesian inferences, providing a neurally plausible account of how Bayesian models of cogntion may be physically implemented in the brain. However, each key subcomputation invoked in HPC potentially h...

Several other methods of achieving dynamic range control were also discussed in the previous chapter. These methods are typically unsharp mask filters with large kernel sizes, and multi-scale approaches such as multi scale image contrast amplification (MUSICA) developed by the Agfa-Gevaert company (Vuylsteke & Schoeters, 1999). In achieving their goal of dynamic range control, these methods alt...

The precise probability of a compound event (e.g. e1 _ e2; e1 ^ e2) depends upon the known relationships (e.g. independence, mutual exclusion, ignorance of any relationship, etc.) between the primitive events that constitute the compound event. To date, most research on probabilistic logic programming 20, 19, 22, 23, 24] has assumed that we are ignorant of the relationship between primitive eve...

Brain tumor segmentation from Magnetic Resonance Images (MRIs) is an important task to measure tumor responses to treatments. However, automatic segmentation is very challenging. This paper presents an automatic brain tumor segmentation method based on a Normalized Gaussian Bayesian classification and a new 3D Fluid Vector Flow (FVF) algorithm. In our method, a Normalized Gaussian Mixture Model...

■ Abstract The analysis of molecular phylogenetic data has advanced the knowledge of the relationships among the major groups of living vertebrates. Whereas the molecular hypotheses generally agree with traditional morphology-based systematics, they sometimes contradict them. We review the major controversies in vertebrate phylogenetics and the contribution of molecular phylogenetic data to the...

SUMMARY adephylo is a package for the R software dedicated to the analysis of comparative evolutionary data. Phylogenetic comparative methods initially aimed at accounting for or removing the effects of phylogenetic signal in the analysis of biological traits. However, recent approaches have shown that considerable information can be gathered from the study of the phylogenetic signal. In partic...

Functional traits determine the occurrence of species along environmental gradients and their coexistence with other species. Understanding how traits evolved among coexisting species helps to infer community assembly processes. We propose fatty acid composition in consumer tissue as a functional trait related to both food resources and physiological functions of species. We measured phylogenet...