Artificial neural models suggest that the Probability Density Function (PDF) of available inputs is crucial in determining the distribution of responses shown by a group of pattern-matching cells. This paper therefore describes a Monte-Carlo study of the PDF for linear optic flow components produced by ego-motion in a simulated pla-nar environment. The recent search for deformation-selective ce...

The joint probability distribution in the full counting statistics (FCS) for noninteracting electrons is discussed for an arbitrary number of initially separate subsystems which are connected at t = 0 and separated again at a later time. A simple method to obtain the leading-order long-time contribution to the logarithm of the characteristic function is presented which simplifies earlier approa...

This report documents the development of a probabilistic model to represent the occurrence rate and characteristics of future hurricanes capable of producing significant surge inundation along the Mississippi coast, using available hurricane data and statistical tools that have been developed for the offshore oil industry. The report also documents the generation of a suite of synthetic storms,...

Estimation of probability density functions (PDFs) of a given random variable (r.v.) is involved in topics related to codification, speech or whenever a short record of data is available but a greater amount is needed. Existing methods go from the so-called Minimum Description-Length method, up to others based on the maximisation of the differential entropy imposing constraints on the moments o...

In this paper we propose a novel video segmentation algorithm that is capable of reliably detecting both types of dissolves in addition to cuts and wipes based on the analysis of spatio-temporal behaviors of Joint Probability Images (JPIs). Experimental results for identifying scene transitions in various video clips that contain moderate and significant amounts of movements are demonstrated.

10GHz 以上の無線回線設計においては,降雨によ る減衰が大きな問題となる.このため信頼性の高い無 線回線を経済的に設計するためには,回線設置地域に おける降雨減衰確率を統計的に精度良く推定する必要 があり,降雨強度や降雨減衰の確率分布をモデル化し た種々の推定法が提案されている.このような降雨強 度及び降雨減衰の確率分布として,従来,時間率の大 きな領域では対数正規分布が,時間率の小さい領域で はガンマ分布が良い近似を与えるモデルとして広く用 いられてきたが,更に,通信回線の設計で問題となる 強降雨強度・短時間率領域を含めて広い累積時間領域 にわたって降雨強度の統計累積分布をよく近似する分 布としてMoupfouma分布 [1], [2]が知られている.し かしながら,Moupfouma分布は分布の平均値や分散 と分布パラメータの関係を容易に計算できないことな どから,降雨減衰推...

Three experiments investigated the ability of human learners to concurrently extract and track both joint and conditional probabilities in statistical word learning. In each experiment, participants were briefly trained on novel word– novel object pairs and asked to learn correct mappings by the end of training. Across a series of learning conditions, we systematically manipulated conditional a...

The problem of factorization of a nonextensive probability distribution is discussed. It is shown that the correlation energy between the correlated subsystems in the canonical composite system can not be neglected even in the thermodynamic limit. In consequence, the factorization approximation should be employed carefully according to different systems. It is also shown that the zeroth law of ...

We present an embedded image coder based on a statistical characterization of natural images in the wavelet transform domain. We describe the joint distribution between pairs of coefficients at adjacent spatial locations, orientations, and scales. Although the raw coefficients are nearly uncorrelated, their magnitudes are highly correlated. A linear magnitude predictor, coupled with both multip...

In uence diagrams have become a popular tool for representing and solving complex decision-making problems under uncertainty. In this paper, we focus on the task of building probability models from expert knowledge, and also on the challenging and less known task of constructing utility models in in uence diagrams. Our goal is to review the state of the art and list some challenges. Similarly t...