标题： 混合状态观测的空间建模 显示英文标题

标题： Spatial modelling for mixed-state observations

摘要： 在降雨量数据建模、图像序列运动分析等多个应用领域中，观测值包含两种不同性质的成分。 第一部分由表示符号信息的一些离散值组成，第二部分记录连续（实数值）测量值。 我们将这种类型的观测称为“混合状态观测”。 本文介绍适用于分析这类数据的空间模型。 我们考虑多参数自模型，其局部条件分布属于混合状态指数族。 详细讨论了指数分布的具体例子，并给出了利用视频序列对运动测量建模的一些实验结果。 显示英文摘要

摘要： In several application fields like daily pluviometry data modelling, or motion analysis from image sequences, observations contain two components of different nature. A first part is made with discrete values accounting for some symbolic information and a second part records a continuous (real-valued) measurement. We call such type of observations "mixed-state observations". This paper introduces spatial models suited for the analysis of these kinds of data. We consider multi-parameter auto-models whose local conditional distributions belong to a mixed state exponential family. Specific examples with exponential distributions are detailed, and we present some experimental results for modelling motion measurements from video sequences.