一种融合局部纹理和颜色信息的背景减除方法

背景减除是低级计算机视觉和视频处理的关键技术之一. 本文提出一种新的背景减除算法, 该算法将局部纹理信息和颜色信息联合起来表示背景, 并借鉴了混合高斯模型的思想, 采用多个模式描述背景模型. 为了更充分地描述纹理信息, 本文改进了LBP (Local binary pattern)算子. 实验结果表明, 本文提出的算法性能在绝大多数情况下优于现有其他算法.     

基于PCA的脱机手写汉字的统计模型及其应用

本文通过分析传统汉字的结构模型所具有的优缺点,提出了建立脱机手写汉字统计模型的理论框架;并利用PCA技术发现大量数据规律性的能力,提出了一种基于PCA技术的脱机手写汉字的统计模型.与传统的结构模型相比,该模型避免了目前还无法解决的准确抽取结构基元的困难,通过以容易抽取的可重构的统计特征作为统计基元,并通过对统计基元变化的整体描述或者说对统计基元相互之间关系的描述,较好地建立了脱机手写汉字的统计模型.根据该模型得到的一些实验结果充分说明了其描述脱机手写汉字的有效性.     

A new kind of neuron model with a tunable activation function and its applications

A new neuron model with a tunable activation function, denoted by the TAF model, and its application are addressed. The activation function as well as the connection weights of the neuron model can be adjusted in the training process The two-spiral problem was used as an example to show how to deduce the adjustable activation function required, and how to construct and train the network by the use of the a priori knowledge of the problem. Due to the incorporation of constraints known a priori into the activation function, many novel aspects are revealed, such as small network size, fast learning and good performances. It is believed that the introduction of the new neuron model will pave a new way in ANN studies.