Using an unusual, yet natural invariant measure we show that there exists a sensitive cellular automaton whose perturbations propagate at asymptotically null speed for almost all configurations. More specifically, we prove that Lyapunov Exponents measuring pointwise or average linear speeds of the faster perturbations are equal to zero. We show that this implies the nullity of the measurable en...

We describe a hierarchical scheme for rapid adaptation of context dependent \skills". The underlying idea is to rst invest some learning eeort to specialize the learning system to become a rapid learner for a restricted range of contexts. This is achieved by constructing a \Meta-mapping" that replaces an slow and iterative context adaptation by a \one-shot adaptation", which is a context-depend...

Due to the expansion of internet, we encounter various types big data such as web documents or sensing data. Compared traditional small experimental samples, provide more chances find hidden and novel patterns with analysis using statistics machine learning algorithms. However, use increases, problems also occur. One them is a zero-inflated problem in structured preprocessed from Most count val...

A three-part strategy has been developed to study molecular interactions in biological systems at the atomic level. First, isotopically labeled carotenoids and retinoids are prepared by organic total synthetic schemes with labels at predetermined atomic positions and combinations of positions. Subsequently, the labeled compounds are incorporated in the biological system. Finally, the system is ...

We propose statistically self-similar and rotation-invariant models for vector fields, study some of the more significant properties of these models, and suggest algorithms and methods for reconstructing vector fields from numerical observations, using the same notions of self-similarity and invariance that give rise to our stochastic models. We illustrate the efficacy of the proposed schemes b...

To store and transmit the large amount of image data necessary for Image-based Rendering (IBR), efficient coding schemes are required. This paper presents two different approaches which exploit three–dimensional scene geometry for multi-view compression. In texture-based coding, images are converted to view-dependent texture maps for compression. In model-aided predictive coding, scene geometry...