In the construction industry, cement concretes are most widely used building material. New generation materials with increased strength and durability in of critical facilities. Special requirements imposed on such to ensure their quality. The issues control quality powder-activated a new at stage preparation constituent components considered. Author made article analysis classifier data for de...

Psychological studies indicate that emotional states are expressed in the way people walk and the human gait is investigated in terms of its ability to reveal a person’s emotional state. And Microsoft Kinect is a rapidly developing, inexpensive, portable and no-marker motion capture system. This paper gives a new referable method to do emotion recognition, by using Microsoft Kinect to do gait p...

Understanding the result produced by a data-mining algorithm is as important as the accuracy. Unfortunately, support vector machine (SVM) algorithms provide only the support vectors used as “black box” to efficiently classify the data with a good accuracy. This paper presents a cooperative approach using SVM algorithms and visualization methods to gain insight into a model construction task wit...

We perform an extensive study of the performance of different classification approaches on twenty-five datasets (fourteen image datasets and eleven UCI data mining datasets). The aim is to find General-Purpose (GP) heterogeneous ensembles (requiring little to no parameter tuning) that perform competitively across multiple datasets. The state-of-the-art classifiers examined in this study include...

The new parallel incremental Support VectorMachine (SVM) algorithm aims at classifying very large datasets on graphics processing units (GPUs). SVM and kernel related methods have shown to build accurate models but the learning task usually needs a quadratic programming, so that the learning task for large datasets requires big memory capacity and a long time. We extend the recent finite Newton...

The Landslide,which is caused by mining activities, has become an important factor which constrains the sustainable development of mining area. Thus it becomes very important to predict the landslide in order to reduce and even to avoid the loss in hazards. The paper is to address the landslide prediction problem in the environment of GIS by establishing the landslide prediction model based on ...

We combine interior-point methods and results from matrix completion theory in an approximate method for the large dense quadratic programming problems that arise in support vector machine training. The basic idea is to replace the dense kernel matrix with the maximum determinant positive definite completion of a subset of the entries of the kernel matrix. The resulting approximate kernel matri...

The scaling of serial algorithms cannot rely on the improvement of CPUs anymore. The performance of classical Support Vector Machine (SVM) implementations has reached its limit and the arrival of the multi core era requires these algorithms to adapt to a new parallel scenario. Graphics Processing Units (GPU) have arisen as high performance platforms to implement data parallel algorithms. In thi...

Support vector machine(SVM) is a very popular way to do pattern classification. This paper describes how to implement an support vector machine for face recognition with linear, polynomial and rbf kernel. It also implements principal component analysis and Fisher linear discriminant analysis for dimensionaly reduction before the classification. It implements svm classifier in MATLAB based on li...

This paper presents our approach to the Author Profiling (AP) task at PAN 2016. The task aims at identifying the author’s age and gender under crossgenre AP conditions in three languages: English, Spanish, and Dutch. Our preprocessing stage includes reducing non-textual features to their corresponding semantic classes. We exploit typed character n-grams, lexical features, and nontextual feature...