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base-on-Java
- 本文以此为背景,提出了基于事件驱动的BDI agent实现体系结构,用信念(Belief)、事件(Event)、规划(Plan)等内部特征来描述软件agent,并给出了面向对象层次上的软件agent的UML模型,该模型定义了构成软件agent的四个对象:Agent、BeliefSet、Event、Plan 为描述这些对象及其交互关系,本文以java语言为基础,扩展出了能描述这四个对象的java类以及描述其交互关系-this background paper, based on Event-Dri
mcl
- 详细介绍MCL算法，是由Sebastian Thrun a, Dieter Fox, Wolfram Burgard, Frank Dellaert所著的论文，发表于Artificial Intelligence上。-Mobile robot localization is the problem of determining a robot’s pose from sensor data. This article presents a family of probabilistic lo
TheGovernmentNetworkSecuritySolutions
- The Government Network Security Solutions-Beijing Tianrongxin Network Security Technology Co., Ltd. is China s earliest professional Internet (Internet) and the computer communications network and information security research, product development an
shajib
- increases too. All the above led to very interesting conclusions. For applications that end- nal belief that the limited storage capabilities of sensor nodes always leads to problems.
rufferkellett2008-implementing-the-belief-propaga
- the belief propagation algorithm in matlab
adaptive-learning
- 一篇关于深度网络的改进算法的文章，主要是采用了一种动态权值的调整机制-Towards adaptive learning with improved convergence of deep belief networks on graphics processing units.pdf
Facial_Feature_Tracking
- 通过建议一个人脸形状先验模型关注该问题，该模型基于受限Boltzmann Machines (RBM)及其变种构建。特别的，我们首先基于深度信任网络构建一个模型以获取接近正视角的表情变化的人脸形状变量。为了解决姿态变化问题，我们将正面人脸形状先验模型整合到一个3路（3-way）RBM模型，其可以获取正面人脸形状和非正面人脸形状间的关系。最后，我们建议一个方法，将人脸先验模型和人脸特征点的图像度量系统性地组合在一起。-we address this problem by proposing a
LDPC-master
- C and MATLAB implementation for LDPC encoding and decoding-Overview of what is provided WiFi (IEEE 802.11n) LDPC code construction Encoding by back-substitution for WiFi LDPC codes Iterative belief propagation (BP) Decoding (including