the problem of automatic signature recognition has received little attention incomparison with the problem of signature verification, despite its potentialapplications for many business processes and can be used effectively in paperlessoffice projects. this paper presents model-based off-line signature recognition withrotation invariant features. non-linear rotation of signature patterns is one...

A novel approach for recognizing human activities with wearable sensors is investigated in this article. The key techniques of this approach include the generalized discriminant analysis (GDA) and the relevance vector machines (RVM). The feature vectors extracted from the measured signal are processed by GDA, with its dimension remarkably reduced from 350 to 12 while fully maintaining the most ...

Abstract: This study presents a novel direct-construction based fuzzy multiclass support vector classifier based on previous multi-class classification method by Crammer and Singer (2001). In our proposed method, the membership degree is computed by fuzzy c-means clustering, the optimal problem and its constraints of multiclass classification are reconstructed and its corresponding Lagrangian f...

In recent years, Brain Computer Interface (BCI) systems based on Steady-State Visual Evoked Potential (SSVEP) have received much attentions. In this study four different flickering frequencies in low frequency region were used to elicit the SSVEPs and were displayed on a Liquid Crystal Display (LCD) monitor using LabVIEW. Two stimuli colors, green and violet were used in this study to investiga...

In the conventional incremental training of support vector machines, candidates for support vectors tend to be deleted if the separating hyperplane rotates as the training data are added. To solve this problem, in this paper, we propose an incremental training method using one-class support vector machines. First, we generate a hypersphere for each class. Then, we keep data that exist near the ...

Large-scale hypertext categorization has become one of the key techniques in web-based information acquisition. How to implement efficient hypertext categorization is still an ongoing research issue. This paper introduces the Distributed Hypertext Categorization System (DHCS), in which the Directed Acyclic Graph Support Vector Machines (DAGSVM) for learning multiclass hypertext classifiers is i...

Feature selection based data mining methods is one of the most important research directions in the fields of machine learning in recent years. This paper presents a review of assorted feature selection methods named filter, wrapper and embedded and multiclass classifiers like support vector machines (SVM), decision tree, averaged perceptron and neural network. Additionally it conveys an assess...