The paper describes a new method that permits a computer to listen to, and follow, live music in real-time, by analysing the incoming audio stream and aligning it to a symbolic representation (e.g, score) of the piece(s) being played. In particular, we present a multi-level music matching and tracking algorithm that, by continually updating and evaluating multiple high-level hypotheses, effecti...

In this paper we describe a new framework for the tracking of closed curves described through implicit surface modeling. The approach proposed here enables a continuous tracking along an image sequence of deformable object contours. Such an approach is formalized through the minimization of a global spatio-temporal continuous cost functional stemming from a Bayesian Maximum a posteriori estimat...

In this paper, a class of uncertain, discrete-time, piecewise linear hybrid systems affected by both parameter variations and exterior disturbances is introduced. The robust tracking and regulation control problem for such uncertain piecewise linear hybrid systems is investigated. The main question is whether there exists a controller such that the closed-loop system exhibits desired behavior u...

An Online Kernel Learning based Adaptive Control (OKL-AC) framework for discrete-time affine nonlinear systems is presented in this paper. A sparsity strategy is proposed to control the complexity of OKL identification model, meanwhile to make a trade-off between the demanded tracking precision and the complexity of the control law. The forward increasing and backward decreasing learning stages...

Groundwater vulnerability assessment helps subsurface water resources management by providing scientific information for decision-makers. Rigorous, quantitative of groundwater usually requires process-based approaches such as flow and transport modeling, which have seldom been used large aquifer-aquitard systems due to limited data high model uncertainty. To quantify the regional-scale in East ...

Previous research has revealed that dyslexic children may be more sensitive to backward-masking effects in auditory perception than control children. In this study, we asked whether a CV transition masks a preceding VC transition to a greater extent in dyslexic children than in controls. The results suggest that dyslexic children are severely impaired on the discrimination of VC sequences, rega...

Energy transfer (ET) between B850 and B875 molecules in light harvesting complexes LH2 and LH1/RC (reaction center) complexes has been investigated in membranes of Rhodopseudomonas palustris grown under high- and low-light conditions. In these bacteria, illumination intensity during growth strongly affects the type of LH2 complexes synthesized, their optical spectra, and their amount of energet...

We propose a fourth-order unfitted characteristic finite element method to solve the advection-diffusion equation on time-varying domains. Based characteristic-Galerkin formulation, our combines cubic MARS for interface tracking, backward differentiation formula temporal integration, and an spatial discretization. Our convergence analysis includes errors of discretely representing moving bounda...

We have developed an algorithm for automated detection of the dynamic pattern characterizing flashes of fluorescence in video images of membrane fusion. The algorithm detects the spatially localized, transient increases and decreases in brightness that result from the dequenching of fluorescent dye in phospholipid vesicles or lipid-enveloped virions fusing with a planar membrane. The flash is i...

Automatic moving object detection/extraction has been explored extensively by the computer vision community. Unfortunately majority of the work has been limited to stationary cameras, in which background subtraction is utilized as the major methodology. In this paper, we will present a technique to tackle the problem in the case of moving camera which is the most often encountered situation in ...