Theory of Optimal Bayesian Feature Filtering

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Optimal Feature Matching Method using Bayesian Graph Theory

Local feature matching is an essential component of many image and object retrieval algorithms. Feature similarities between object model and scene graph are complemented with a regularization term that measures differences of the relational structure. In this paper, we present a novel approach to the optimal feature matching using new Bayesian graph theory. First, we will discuss properties of...

متن کامل

An Analytically Tractable Bayesian Approximation to Optimal Point Process Filtering

The process of dynamic state estimation (filtering) based on point process observations is in general intractable. Numerical sampling techniques are often practically useful, but lead to limited conceptual insight about optimal encoding/decoding strategies, which are of significant relevance to Computational Neuroscience. We develop an analytically tractable Bayesian approximation to optimal fi...

متن کامل

Optimal alternative robustness in Bayesian Decision Theory

In Martin et al (2003), we suggested an approach to general robustness studies in Bayesian Decision Theory and Inference, based on ǫ-contamination neighborhoods. In this note, we generalise the results considering neighborhoods based on norms, specifically, the supremum norm for utilities and the total variation norm for probability distributions. We provide tools to detect changes in preferenc...

متن کامل

Realizable Rate Distortion Function and Bayesian FIltering Theory

The relation between rate distortion function (RDF) and Bayesian filtering theory is discussed. The relation is established by imposing a causal or realizability constraint on the reconstruction conditional distribution of the RDF, leading to the definition of a causal RDF. Existence of the optimal reconstruction distribution of the causal RDF is shown using the topology of weak convergence of ...

متن کامل

Efficient Sentiment Analysis using Optimal Feature and Bayesian Classifier

Sentiment analysis refers to a broad range of fields of the natural language processing, computational linguistics, and text mining. Mining is used to extract previously unknown information from the different written resources. This extracted information is helping in decision making process. Sentiment analysis has gained much attention in recent years. It determines the opinion and attitude of...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Bayesian Analysis

سال: 2020

ISSN: 1936-0975

DOI: 10.1214/19-ba1182