Learning vector quantization (LVQ) is one of the most powerful approaches for prototype
based classification of vector data, intuitively introduced by Kohonen. The prototype …

Traffic light detection is a key module in the autonomous driving system to enhance the
interactions between drivers and unmanned vehicles. In recent studies, deep neural …

Abstract The Shallow and the Deep is a collection of lecture notes that offers an accessible
introduction to neural networks and machine learning in general. However, it was clear from …

In various fields of biomedical research, the availability of electronic data has increased
tremendously. Not only is the amount of disease specific data increasing, but so is its …

Human gait analysis is considered a new biometric tool for the ability to obtain metrics from
the body at a distance. Biometric identifiers have properties that can technologically …

In this contribution, prototype-based systems and relevance learning are presented and
discussed in the context of biomedical data analysis. Learning Vector Quantization and …

The challenges faced by networks nowadays can be solved to a great extent by the
application of accurate network traffic classification. Internet network traffic classification is …

In the bio-medical domain, a high detection rate of possibly rare diseases is usually highly
desirable while errors in the majority class (eg healthy controls) may be more acceptable …

摘要脑电波是一种复杂的生物电信号, 可反应出大脑内部的活动及注意力等精神状态. 基于此,
论文设计了注意力相关的脑电实验, 并完成了受试者脑电数据的采集, 对所采集的脑电数据分别 …

The paper deals with realizations of transfer learning for classification, ie the adaptation of a
classifier model to a changed data distribution. This change could be a data drift or a more …