Seasonal forecasts have improved during the last decades, mostly due to an increase of understanding of the coupled ocean-atmosphere dynamics, and the development of models able to predict the atmosphere variability. Correlations between different teleconnection patterns and severe weather in different parts of the world have also evolved during the last years. This paper evaluates the connecti...

We study the usefulness of conditional gradient like methods for determining projections onto convex sets, in particular, projections onto naturally arising convex sets in reproducing kernel Hilbert spaces. Our work is motivated by the recently introduced kernel herding algorithm which is closely related to the Conditional Gradient Method (CGM). It is known that the herding algorithm converges ...

BACKGROUND From the viewpoint of the patients' health, reducing the radiation dose in computed tomography (CT) is highly desirable. However, projection measurements acquired under low-dose conditions will contain much noise. Therefore, reconstruction of high-quality images from low-dose scans requires effective denoising of the projection measurements. METHODS We propose a denoising algorithm...

Reconstructing discrete bidimensional sets from their projections is involved in many different problems of computer-aided tomography, pattern recognition, image processing and data compression. In this paper, we examine the problem of reconstructing a discrete bidimensional set S satisfying some convexity conditions from its two orthogonal projections (H, v). We develop an algorithm that start...

Drought has become one of the main challenges facing global agricultural production and crop safety. stress will lead to termination photosynthesis, which seriously affect growth development crops. We aimed study a method for identificaton drought in tomato seedlings using chlorophyll fluorescence imaging. In this study, parameters there corresponding images 4 different levels were collected. T...

Development of the segmented central nerve cords of vertebrates and invertebrates requires connecting successive neuromeres. Here, we show both how a pathway is constructed to guide pioneer axons between segments of the Drosophila CNS, and how motility of the pioneers along that pathway is promoted. First, canonical Notch signaling in specialized glial cells causes nearby differentiating neuron...

In this paper, the blind channel identification problem is formulated in a stochastic state space framework. Starting from a state space model we present a preprocessing step based on two orthogonal subspace projections. Using these orthogonal projections, we derive an algorithm for blind channel estimation which is insensitive to the spatial color of the noise. The performance of this new algo...

The problem of reconstructing a discrete set from its horizontal and vertical projections (RSP) is of primary importance in many different problems for example pattern recognition, image processing and data compression. We give a new algorithm which provides a reconstruction of convex polyominoes from horizontal and vertical projections. It costs atmost O(min(m, n) · mn log mn) for a matrix tha...