One great book, which is also on the web, is Pattern recognition and machine learning by c.
一本伟大的书，也在网络上，是模式识别与机器学习c。主教。
Feature selection is an important problem in the pattern recognition and machine learning areas.
特征选择是模式识别和机器学习领域的重要问题。
Her current research interests include biometrics, pattern recognition, machine learning and image processing.
研究方向：生物特征识别，模式识别，机器学习和图像处理等。
For me, I've noticed that a few domains I've always been interested in (including artificial intelligence, machine learning, natural language processing, and pattern recognition) use a lot of math.
对我来说，我已经注意到一些我已经感兴趣的领域(包括人工智能，机器学习，自然语言处理，和模式识别)大量的使用到数学。
Image and video processing, computer vision, machine learning, and pattern recognition.
图像和视频处理，计算机视觉，机器学习，和模式识别。
Decision tree learning strategy have long been popular in pattern recognition, machine learning, and other disciplines for solving problems concerned with the classification.
决策树学习策略广泛应用于模式识别和机器学习等领域，用来解决与分类相关的问题。
Support Vector Machine (SVM) is an important learning method of statistical learning theory, and is also a powerful tool for pattern recognition.
支持向量机是统计学习理论的一个重要学习方法，也是解决模式识别问题的一个有力工具。
As an effect tool of pattern recognition and data processing, rough set theory (RST) and support vector machine (SVM) have become the focus of research in machine learning.
粗糙集理论(rst)与支持向量机(SVM)作为模式识别，数据处理的有效工具，已成为机器学习的研究热点。
For me, I've noticed that a few domains I've always been interested in (including artificial intelligence, machine learning, natural language processing, and pattern recognition) use a lot of math.
对我来说，我已经注意到一些我感兴趣的领域(包括人工智能，机器学习，自然语言处理和模式识别)大量用到数学。
Since the data samples in machine learning and pattern recognition problems generally distribute in multi-modal distribution, this thesis proposed a prototype based feature ranking model.
由于模式识别、机器学习等问题的复杂性比较高，数据分布通常呈现多模态分布。
Currently, RST has been applied in many fields as artificial intelligence, machine learning, data mining, decision support and analysis, process control, pattern recognition, fault detection.
目前，粗糙集理论已被成功地应用在人工智能、机器学习、数据挖掘、决策支持与分析、过程控制、模式识别、故障检测等领域。
Representation the high-dimensional data in a low-dimensional subspace is one of the fundamental problems in data analysis, pattern recognition, machine learning, and computer vision.
在低维空间描述高维数据是数据分析、模式识别、机器学习、计算机视觉等领域的基础问题之一。
Support vector machine (SVM) is an important learning method of statistical learning theory, and is also a powerful tool for pattern recognition problems.
支持向量机是统计学习理论的一个重要的学习方法，也是解抉模式识别问题的一个有力的工具。
At present, manifold learning has become a hot issue in the field of pattern recognition, machine learning and data mining.
目前，流形学习已成为模式识别、机器学习和数据挖掘领域的研究热点问题。
Currently, Manifold learning gradually becomes a hotspot in the field of machine learning and pattern recognition.
月前，流形学习渐渐成为机器学习及模式识别领域中的一个研究热点。
Feature selection is an important issue in the fields of machine learning and pattern recognition. The effectiveness of feature directly affects the design and performance of the classifier.
特征选择问题是机器学习和模式识别中的一个重要问题，特征的优劣直接影响分类器的设计和性能。
Rough Set, as one of the Granular computing's three main models, have attracted much attention since its 'born and has a broad application on machine learning, pattern recognition and other fields.
粗糙集理论作为粒度计算的三大模型之一，自产生起就备受关注，并已广泛应用与机器学习、模式识别等领域。
In this paper, the principals and characteristics of chemical pattern recognition method were described. Among this method, Linear Learning Machine was emphasized.
本文简述了化学模式识别方法的原理和特点，着重论述了线性学习机方法。
Support Vector machine is a new machine-learning method and has its unique advantages in pattern recognition because of outstanding learning performance and good capabilities in generalization.
支持向量机是一种全新的机器学习方法，其出色的学习性能和泛化能力强等方面的优势，在模式识别领域中有其独到的优越性。
The application of machine learning techniques in other areas such as pattern recognition has resulted in accumulated experience as to correct and principled approaches for their use.
机器学习技术在其他领域例如模式识别中的应用，已经导致了关于它们使用的正确且有原则的方式的积累的经验。
The invention can be used in machine learning and the pattern recognition, as well as in the fields of voice recognition and data mining in addition to the image recognition.
本发明可用于机器学习和模式识别范畴内，除了图像识别以外，还可用于语音识别及数据挖掘等领域。
There will be some discussion of statistical pattern recognition, but less than in the past, because this perspective is now covered in 6.893 Machine Learning and Neural Networks.
将有一些比过去少的统计模式认知的讨论，因为这观点现在包含在6.893机械学习和神经网路课程中。
On the other hand, research of face recognition has great theoretical value, involving subjects of image processing, computer vision, pattern recognition, machine learning and so on.
另一方面，人脸识别的研究涉及到图像处理、计算机视觉、模式识别、机器学习等多个学科和领域，有着深刻的理论价值。
A discussion board for Artificial Intelligence, Pattern Recognition, Machine Learning and Digital Image Processing. Not just MATLAB!
人工智能|模式识别|机器学习|数字图像处理|SAR图像处理-不仅仅是MATLAB！
A discussion board for Artificial Intelligence, Pattern Recognition, Machine Learning and Digital Image Processing. Not just MATLAB!
人工智能|模式识别|机器学习|数字图像处理|SAR图像处理-不仅仅是MATLAB！
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