M Multiple Experts
نویسنده
چکیده
A Biometric expert, or an expert in biometric recognition context, refers to a method that expresses an opinion on the likelihood of an identity by analyzing a signal that it is specialized on, e.g. a fingerprint expert using minutiae, a lip-motion expert using statistics of optical-flow. Accordingly, there can be several experts associated with the same sensor data, each analyzing the data in a different way. Alternatively, they can be specialized on different sensor data. Multiple experts can address the issue of how expert opinions should be represented and reconciled to a single opinion on the authenticity of a ▶ client identity.
منابع مشابه
Learning with Knowledge from Multiple Experts
The use of domain knowledge in a learner can greatly improve the models it produces. However, high-quality expert knowledge is very difficult to obtain. Traditionally, researchers have assumed that knowledge comes from a single self-consistent source. A little-explored but often more feasible alternative is to use multiple weaker sources. In this paper we take a step in this direction by develo...
متن کاملA hybrid fuzzy multiple attribute decision making approach for identification and ranking influencing factors on Bullwhip Effect in supply chain: real case of Steel industry
Bullwhip effect phenomenon is what reduces the efficiency of the supply chain. The effect occurs when demand changes in the supply chain face with a lot of volatility. So far, several key factors have been identified as causes of this phenomenon. Since the steel industry, is the basic one, its efficiency is of great importance. Therefore, in this study influencing factors on Bullwhip Effect in ...
متن کاملMethods for combining experts' probability assessments
This article reviews statistical techniques for combining multiple probability distributions. The framework is that of a decision maker who consults several experts regarding some events. The experts express their opinions in the form of probability distributions. The decision maker must aggregate the experts' distributions into a single distribution that can be used for decision making. Two cl...
متن کاملSupplementary Material: Multiple Clustering Views from Multiple Uncertain Experts
For variational inference in our approach, we use the following parameter settings 1. G, the number of components in truncated Dirichlet Process, is set to be M/2, where M is the total number of experts. In this way, we try to enforce the constraint that on average, there should be at least two experts in each view. In all experiments, the number of expert views recovered by our approach is sma...
متن کاملCombining Multiple Experts for Classifying Shot Changes in Video Sequences
This paper presents a shot cut detection technique using a combination of multiple experts. The experts themselves are stand-alone methods to detect shot cuts. We propose a combination method that gives signiic-antly better results compared to these experts on their own. We achieve this by exploiting the complementar-ity of expert knowledge, i.e. the fact that the various experts calculate diie...
متن کامل