卷积网络

基于卷积网络的三维模型特征提取

3D Model Feature Extraction Based on Convolutional Networks

我们先利用改进的K-means聚类方法从训练数据中获得基向量，再结合卷积神经网络提取字符图像的特征。

Firstly , we use the variant of K-means obtain the basis vectors from the training data , then extract character feature by combining convolutional neural network . 2 .

为了提高人工神经网络处理动态信号能力，在时延神经网络（TDNN）和卷积神经网络（CNN）的基础上，针对孤立音节的特点，提出了一个新的网络结构，研究了其学习算法。

The ability of neural networks to deal with time dynamic signal was improved with a new neural network architecture specializing in syllable recognition based on the time delay neural network ( TDNN ) and the convolutional neural network .

增长式卷积神经网络及其在人脸检测中的应用

Incremental Convolution Neural Network and Its Application in Face Detection

在得到桥牌的位置后，应用卷积神经网络来分类桥牌。

Then , a convolutional neural network is utilized to classify the cards .

基于卷积神经网络的模式分类器

Building pattern classifiers with convolutional neural networks

本文通过训练卷积神经网络，使其自行学习样本中内在特征，以达到识别单个手写数字的目的。

In this paper , by training the convolutional neural network , the network can learn the the inner features automatically so that it can recognise these digital accurately .

安德雷·卡帕西，斯坦福一个研究计算机深度学习的博士生，决定使用包含1.4亿个参数的强大卷积神经网络来研究为何有的自拍更受欢迎。

Andrej Karpathy , a PhD student at Stanford working on Deep Learning , decided to use a powerful , 140-million-parameter state-of-the-art Convolutional Neural Network to help work out why some selfies are more popular than other .

基于（2,1，N）卷积码的网络丢包纠错方法

Method correcting network packet losses based on ( 2,1 , N ) convolutional code

一种基于卷积码的网络丢包恢复新方法

A new method to recover Internet packet losses using convolutional codes

长约束度卷积码译码器神经网络结构

A Neural Network Architecture for the Decoding of Long Constraint Length Convolutional Codes