搜索资源列表
BeliefPropagationStereo
- 用置信度传播算法计算视差图 里面含有比较完整的算法和相关资源-belief propagation stereo algorithm
dbn
- 深度置信网，经过调试，运行没有问题。运行时有点占内存，速度稍慢。-Deep Belief Nets, Restricted Boltzmann Maching
00b4951ab44ed1b4e4000000
- Our previous work on real-valued function optimization problems had shown that cultural learning emerged as the result of meta-level interaction or swarming of knowledge sources, “knowledge swarms” in the belief space. These meta-level swarms i
deep-belief-network
- 训练一个深度网络，并应用于MNIST库上进行字体识别-Training a deep autoencoder or a classifier on MNIST digits
DBNs
- 一个 深度置信网DBNs的源码，这是一个用于深度置信网的源码 可以进行训练，正常运行！ - deep belief network
one
- 基于叶片数字图像的植物识别是自动植物分类研究的热点。但是随着植物种类的增加，传统的分类方法由 于提取的特征比较单一或者分类器结构过于简单，导致叶片识别率较低。为此，本文提出使用纹理特征结合形状 特征进行识别，并且使用深度信念网络构架作为分类器。纹理特征通过局部二值模式、Gabor 滤波和灰度共生矩阵 方法得到。而形状特征向量由 Hu 氏不变量和傅里叶描述子组成。为了避免过拟合现象，使用“dropout”方法训练 深度信念网络。这种基于多特征融合的深度信念网络的植物识别方法-Plant based
CNN
- CNN - Convolutional neural network class This project provides matlab class for implementation of convolutional neural networks. Deep Neural Network It provides deep learning tools of deep belief networks (DBNs). myCNN is a Matlab implementation
Belief-Condensation-Filtering-
- 自主导航系统中以卡尔曼滤波算法及其衍生算 法如扩展卡尔曼滤波、无迹卡尔 曼滤波、容积卡尔曼滤波 、鲁棒滤波或粒子滤波 等为信息处理的核心。-Autonomous navigation system with kalman filter algorithm and its derivatives Method such as extended kalman filtering, no trace, Carl Kalman filter, filtering, volume
DBN
- 深度学习中的深度信念网络，用于数据的分类和预测-Deep belief network in deep learning, used for the classification and prediction of data
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
fuzzyDBN
- 用于情感分析的模糊深度信念网络FDBN,提高了精度(Fuzzy deep belief networks for semi-supervised sentiment classification)
bayesian-belief-networks-master
- 方便进行贝叶斯网络的学习与推理,提供了多种方便好用的API(learning and reasoning based on Bayesian network)
DeepLearnToolbox-master
- 这是用于深度学习的Matlab工具箱 深度学习是机器学习的一个新的子领域，专注于学习深层次的数据模型。 它的灵感来自于人类大脑的明显的深层次（分层的）层次结构。 目录包括`NN /` - 一个用于前馈反向传播神经网络的库，`CNN /` - 卷积神经网络库，`SAE /` - 堆叠式自动编码器库，`CAE /` - 卷积自动编码器库，`util /` - 库使用的功能函数，`data /` - 实例使用的数据，`tests /` - 单元测试来验证工具箱是否正常工作(A Matlab to
LDPC
- ldpc编译码译码算法包括置信传播和比特翻转还有对数域的置信传播译码算法(LDPC Encoding and decoding algorithms include belief propagation and bit flipping, as well as the log domain belief propagation decoding algorithm)
deeplearningbook-chinese-0.5-beta
- 卷积神经网络、循环神经网络、递归神经网络、深度信念网络、深度堆叠网络、LSTM长短时记忆(Convolution neural network, circulating neural network, recursive neural network, deep belief network, deep stack network, LSTM length memory)
spkstr
- decision-making is regarded as the cognitive process resulting in the selection of a belief or a course of action among several alternative possibilities. Every decision-making process produces a final choice, which may or may not prompt action. Deci
SparkMLlibDeepLearn-master
- 深度信念网络，非常好的代码，有具体的事例(Deep belief network, very good code, there are specific examples)
flashcookiesview
- Contrary to popular belief, Lorem Ipsum is not simply random text. It has roots in a piece of classical Latin literature from 45 BC, making it over 2000 years old. Richard McClintock, a Latin professor at Hampden-Sydney College in Virginia, looked up
xdoclet-1.2.1.jar
- XDoclet is a tool that evolved on the basis of EJBDoclet, created by Rickard Oberg. It's easy to manage: go through the bean class itself to see full components instead of traversing multiple EJB files. How did it do it? Java unless it has a Javadoc
gpldecha-e-pca-d542a9b
- PCA是一种非线性降维方法特别适合于概率分布，得到了指数族PCA的POMDPs压缩。(Matlab implementation of E-PCA which is a non-linear dimensionality reduction method particularly suited for probability distributions, see the paper Exponential Family PCA for Belief Compression in POMDPs.)