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[PDF] Top 20 Gender classification in human gait using support vector machine

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Gender classification in human gait using support vector machine

Gender classification in human gait using support vector machine

... Fig. 2(a) shows sample image from the SOTON indoor database. As can be seen in the figure, a chroma-key laboratory was constructed to allow controlled lighting con- ditions. Due to the nature of both the capture and ... See full document

8

A comparative analysis of binary patterns with discrete cosine transform for gender classification

A comparative analysis of binary patterns with discrete cosine transform for gender classification

... for gender classification with a novel method of feature transformation for improved accuracy ...face. Gender classification is performed using support vector machines ... See full document

8

Attribute Based Face Classification Using Support Vector Machine

Attribute Based Face Classification Using Support Vector Machine

... automatic gender determinations using neural network ...work using support vector ...and classification based on ...and gender to compute the likelihood of first names ... See full document

7

CLASSIFICATION OF  LEAF DISEASES IN APPLE  USING SUPPORT VECTOR MACHINE

CLASSIFICATION OF LEAF DISEASES IN APPLE USING SUPPORT VECTOR MACHINE

... A Human visual system can able to distinguish various colors. The color information is used to simplify image analysis. Hue, Saturation, and intensity value are the 3 quantities used to describe any color. As HSV ... See full document

5

Document Text Classification Using Support Vector Machine

Document Text Classification Using Support Vector Machine

... engineering, machine learning and artificial intelligence focus on the interactions between human's languages and computer machines, by simplicity , how the computers will understand and analyze huge amounts of ... See full document

5

An image classification algorithm using fuzzy support vector machine

An image classification algorithm using fuzzy support vector machine

... The colors of image carry a wealth of semantic information; color feature is most commonly used visual features in image classification. RGB color, being composed of R, G, B components, is the most common color ... See full document

8

Copy move  image classification  by  feature optimization with support  vector machine approach

Copy move image classification by feature optimization with support vector machine approach

... Copy-Move is a kind of forgery in which a piece of picture is replicated and afterward glued on to another segment of a similar picture. The fundamental expectation of Copy-Move forgery is to conceal some data from the ... See full document

5

Email Spam Classification Using Support Vector Machine Algorithm

Email Spam Classification Using Support Vector Machine Algorithm

... Internet has turned into a vital and fundamental part of human life. The expansion in the use of internet has expanded the quantity of record holders over different social sites. Email is the least difficult and ... See full document

5

CLASSIFICATION OF ELECTROCARDIOGRAM SIGNALS WITH SUPPORT VECTOR MACHINE AND RELEVANCE VECTOR MACHINE

CLASSIFICATION OF ELECTROCARDIOGRAM SIGNALS WITH SUPPORT VECTOR MACHINE AND RELEVANCE VECTOR MACHINE

... Relevance Vector Machine (RVM) compared with support vector machine (SVM) approach in the automatic classification of ECG ...correct classification of ECG ... See full document

10

Identification of materials through SVM classification of their LIBS spectra

Identification of materials through SVM classification of their LIBS spectra

... a human eye to identify a material from its spectrum; however, it is possible with machine learning technique capable of pattern ...Supervised machine learning techniques are more suited for the ... See full document

5

Breast Cancer Detection using Support Vector Machine

Breast Cancer Detection using Support Vector Machine

... the human body in order to detect ...texture classification, gland and nuclei segmentation, cell counting, cell type identification or classification to deriving quantitative measurements of disease ... See full document

6

Development Of Algorithm Of Classification Between Human And Non-Human

Development Of Algorithm Of Classification Between Human And Non-Human

... of support vector machines, a data point is viewed as a p-dimensional vector (a list of p numbers), either it can be separated such points with a p − 1-dimensional ... See full document

24

Traffic Data Analysis using Decision Tree and Naïve Bayes Classifier

Traffic Data Analysis using Decision Tree and Naïve Bayes Classifier

... WEKA is a powerful tool as it contains both supervised and unsupervised learning techniques. WEKA is an efficient approach and outperforms other data mining approaches [7]. We use WEKA because it helps us to evaluate and ... See full document

5

Query classification using topic models and support vector machine

Query classification using topic models and support vector machine

... This paper describes a query classification system for a specialized domain. We take as a case study queries asked to a search engine of an art, cultural and history library and clas- sify them against the library ... See full document

6

Recognition of Facial Expressions in Image Sequence using Multi-Class SVM

Recognition of Facial Expressions in Image Sequence using Multi-Class SVM

... of human facial expression is an essential research area in the field of human machine ...theory, human emotion analysis ...The human face exposes large variety of facial ...disgust. ... See full document

9

Fundus Image Classification Using Two Dimensional Linear Discriminant Analysis and Support Vector Machine

Fundus Image Classification Using Two Dimensional Linear Discriminant Analysis and Support Vector Machine

... Diagnosis of DR based on feature extraction is the next research. This research implementing Neuro Fuzzy for feature extraction[12]. In reference to [13], the research uses Fuzzy C Means segmentation. In the process of ... See full document

6

A Survey on Various Machine Learning and Deep Learning Algorithms used for Classification of Spam and Non Spam Emails

A Survey on Various Machine Learning and Deep Learning Algorithms used for Classification of Spam and Non Spam Emails

... 2) Python Jupyter: Python Jupyter or Jupyter Notebook is an extension to the python. The difference between JupyterNotebook and python is that the text box is used in earlier python versions, but Jupyter Notebook ... See full document

8

Impact of Physico Chemical Properties for Soils Type Classification of OAK using different Machine Learning Techniques

Impact of Physico Chemical Properties for Soils Type Classification of OAK using different Machine Learning Techniques

... machines. Machine learning enables computer to act and makes data driven decision rather than being explicitly programmed to carry out the certain ...In machine learning approaches, the algorithm is trained ... See full document

7

A Review on Support Vector Machine for Data Classification

A Review on Support Vector Machine for Data Classification

... analysis. Support vector machines are a specific type of machine learning algorithm that are among the most widely- used for many statistical learning problems, such as spam filtering, text ... See full document

5

Improved Protein Function Classification Using Support Vector Machine

Improved Protein Function Classification Using Support Vector Machine

... After classification process we came across some good results defining the differentiation of two protein ...SVM classification as well we have also used curve fitting tool to validate our results and to ... See full document

5

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