An automatic filtering system to classify individual unpleasant emotions represented by pupil-size changes was proposed. The support vector machines classifier was applied to single-trial data of pupil size and indicated the possibility of the correct judgment of individually unpleasant states immediately after looking at emotional pictures. The framework was then constructed to automatically f...

In this paper, we propose a framework of optimization method for classification problem and show that Support Vector Machine (SVM), Glover’s method and Shi’s Method (MCLP) are special cases of the model.

Abstract—In this paper, we apply a probabilistic method to predict the effect of quantization in a digital implementation of a Support Vector Machine (SVM). the quantization effects taken into consideration are both, input data and calculations done inside the processor. We derived a closed-form expression for these effects for an SVM using a 2 order polynomial Kernel and matched it with simula...

Statistical learning methods have been used in developing filters for predicting inhibitors of two P450 isoenzymes, CYP3A4 and CYP2D6. This work explores the use of different statistical learning methods for predicting inhibitors of these enzymes and an additional P450 enzyme, CYP2C9, and the substrates of the three P450 isoenzymes. Two consensus support vector machine (CSVM) methods, "positive...

We show that the orientation and location of the separating hyperplane for 2-class supervised pattern classiication obtained by the Support Vector Machine (SVM) proposed by Vapnik and his colleagues, is equivalent to the solution obtained by Fisher's Linear Discriminant on the set of Support Vectors. In other words, SVM can be seen as a way to \sparsify" Fisher's Linear Discriminant in order to...

Many adaptive tracking-by-detection methods have been proposed to track object with slowly changing appearance. However, most of those methods are designed for single object tracking. This paper proposes a method for adaptively tracking multiple objects based on a modified structured Support Vector Machine (SVM). The method utilizes the inter-object constraints and the layout information, which...