Description: som-bp混合神经网络的matlab程序，这个网络结构设计得很好，用于肝脏肿瘤图像识别。-som-bp hybrid neural network matlab program, the network architecture are designed to be very good for the liver tumor image recognition. Platform: |
Size: 373760 |
Author:zhongling |
Hits:
Description: 基于改进的隐马尔可夫和神经网络混合模型的语音识别-Based on an improved Hidden Markov and neural network hybrid model of voice recognition Platform: |
Size: 302080 |
Author:张大鹏 |
Hits:
Description: 本文设计了一种混合模型的票据识别系统,识别率可达96.5％-In this paper, the design of a hybrid model of the instrument recognition systems, recognition rate up to 96.5 Platform: |
Size: 389120 |
Author:杨絮 |
Hits:
Description: tesseract-2.04,google开源图像识别源码，对于规则无杂的很多种语言都有很高的识别能力-tesseract-2.04, google image recognition source code open source, for the very rules of non-hybrid has a high recognition in multiple languages Platform: |
Size: 1105920 |
Author:唐继承 |
Hits:
Description: pdf for fingerprint from ieee include:
PIPELINED MINUTIAE EXTRACTION FROM FINGERPRINT IMAGES
A Novel Principal Component Analysis Neural Network Algorithm for Fingerprint Recognition
in Online Examination System
Processing of Distorted Fingerprints with use of Three-Rate
Hybrid Kohonen Neural Networks
nad etc Platform: |
Size: 21190656 |
Author:ali |
Hits:
Description: This paper presents a hybrid framework of feature extraction and hidden Markov modeling (HMM) for two-dimensional pattern recognition. Importantly, we explore a new discriminative training criterion to assure model compactness and discriminability. This criterion is derived from the hypothesis test theory via maximizing the confidence of accepting the hypothesis that observations are from target HMM states rather than competing HMM states. Accordingly, we develop the maximum confidence hidden Markov modeling (MC-HMM) for face recognition. Platform: |
Size: 52224 |
Author:rupesh |
Hits:
Description: 基于PCNN的特征提取,PCNN用于特征提取时，具体平移、旋转、尺度、扭曲等不变性，这正是许多年来基于内容的图像检索系统追求的目标，同时PCNN用于特征提取时，有很好的抗噪性。而且PCNN直接来自于哺乳动物视觉皮层神经的研究，具有提取图像形状，纹理，边缘的属性。用PCNN能很好地对图像进行签名，将二维的图像的特征提取成一维矢量签名。-Feature extraction of specified object is an
important preprocessing stage in machine vision
systems. In this paper, we present a novel hybrid
feature extraction method using PCNN (Pulse Coupled
Neural Network) and shape information. First, we use
PCNN firing map train to formulate object’s time
signature, then we use roundness of each firing map to
formulate object’s shape information vector, the final
feature matrix we got is combined time signature and
roundness. We take correlations as our judge criteria
in our experiments. It has been proved that the
algorithm is not sensitivity with the rotation, scaling
and translation of the object and is a useful method for
target recognition applications. Platform: |
Size: 1024 |
Author:wangxiaofei |
Hits:
Description: In this paper, I present a novel hybrid face recognition approach based on a convolutional neural architecture, designed to robustly detect highly variable face patterns. With the weights of the trained neural networks there are created kernel windows used for feature extraction in a 3-stage algorithm. I present experimental results illustrating the efficiency of the proposed approach. I use a database of 796 images of 159 individuals from Reims University which contains quite a high degree of variability in expression, pose, and facial details.
Platform: |
Size: 15069184 |
Author:Razvan |
Hits:
Description: A Speech Recognition System based on a Hybrid HMM/SVM Architecture.A good paper on hybrid model of speech recgnition Platform: |
Size: 203776 |
Author:siva |
Hits:
Description: 一种用于说话人性别鉴定的混合算法，本文论述了多种方法实现说话人性别识别，可供研究语音的学者学习。-A used in speaker sex identification of the hybrid algorithm, this paper discusses multiple methods achieve gender recognition to the scholars, available for study pronunciation study.
Platform: |
Size: 529408 |
Author:wangqipeng |
Hits:
Description: this Program utilized a new method
for generation codebook in Hidden Markov
Models (HMM). Hybrid HMM and neural
networks have been applied to improve
recognition in speech processing. -this Program utilized a new method
for generation codebook in Hidden Markov
Models (HMM). Hybrid HMM and neural
networks have been applied to improve
recognition in speech processing. Platform: |
Size: 887808 |
Author:abbas |
Hits:
Description: This book aims to bring together selected recent advances, applications, and new ideas in
character recognition. It covers various methods such as image processing, feature extraction,
classification, hybrid approach, evaluation, new applications, and the human-computer
interface. Platform: |
Size: 7985152 |
Author:Giorgis |
Hits:
Description: 人脸识别的完整代码。能进行主成份分析，混合主成份分析,线性判别分析，弹性图像匹配算法等。-Complete code for face recognition. Principal component analysis, the hybrid principal component analysis, linear discriminant analysis, elastic image matching algorithm. Platform: |
Size: 920576 |
Author:jason.lee |
Hits:
Description: This article present a new scheme to speaker recognition using Hybrid VQ/G-This article present a new scheme to speaker recognition using Hybrid VQ/GMM Platform: |
Size: 451584 |
Author:Ngo Huy |
Hits:
Description: 介绍了语音情感识别系统的组成, 重点对情感特征和识别算法的研究现状进行了综述, 分析了主
要的语音情感特征, 阐述了代表性的语音情感识别算法以及混合模型, 并对其进行了分析比较。最后, 指出了语音情感识别技术的可能发展趋势-Speech emotion recognition system composed Research focus on emotional characteristics and recognition algorithms are reviewed, the analysis of the main voice emotional characteristics of a representative of the speech emotion recognition algorithm as well as hybrid model and its analysis comparison. Finally, it is pointed out that the speech emotion recognition technology possible trends Platform: |
Size: 186368 |
Author:wll |
Hits:
Description: 针对传统的ＢＰ或ＧＡ对模糊神经网络的识别应用存在收敛容易陷入局部极小 识别率低下等问题 提出一
种基于ＢＦＧＳ的混合遗传算法 其基本思想为 首先构造一种前馈型模糊神经网络结构 然后用遗传算法进化若干代
后 当目标函数的梯度或者范数小于预先设定值 则改用ＢＦＧＳ算法进行优化识别 仿真实验表明 对比ＧＡ该算法
收敛速度较快 识别精度提高了约７％ 能够较好地应用于一类模糊神经网络的识别-In traditional BP or GA to identify the application of fuzzy neural network in convergence of easily falling into local minimum problem of low recognition rate is proposed
A hybrid genetic algorithm based on BFGS and its basic idea is first to construct a feedforward fuzzy and genetic algorithm is used to evolve neural network structure for several generations
When the gradient of the objective function or norm less than the preset value is used to optimize BFGS algorithm recognition experiment compared the algorithm GA
The recognition accuracy of fast convergence speed is improved about 7 recognition can be applied to a class of fuzzy neural networks Platform: |
Size: 732160 |
Author:renxiuju |
Hits:
Search - HYBRID RECOGNITION