Search results for "support"

Feature selection using support vector machines and bootstrap methods for ventricular fibrillation detection

2012

Early detection of ventricular fibrillation (VF) is crucial for the success of the defibrillation therapy in automatic devices. A high number of detectors have been proposed based on temporal, spectral, and time-frequency parameters extracted from the surface electrocardiogram (ECG), showing always a limited performance. The combination ECG parameters on different domain (time, frequency, and time-frequency) using machine learning algorithms has been used to improve detection efficiency. However, the potential utilization of a wide number of parameters benefiting machine learning schemes has raised the need of efficient feature selection (FS) procedures. In this study, we propose a novel FS…

Bag of words representation and SVM classifier for timber knots detection on color images

2015

Knots as well as their density have a huge impact on the mechanical properties of wood boards. This paper addresses the issue of their automatic detection. An image processing pipeline which associates low level processing (contrast enhancement, thresholding, mathematical morphology) with bag-of-words approach is developed. We propose a SVM classification based on features obtained by SURF descriptors on RGB images, followed by a dictionary created using the bag-of-words approach. Our method was tested on color images from two different datasets with a total number of 640 knots. The mean recall (true positive) rate achieved was (92%) and (97%) for a single dictionary (built only on samples …

Classification Similarity Learning Using Feature-Based and Distance-Based Representations: A Comparative Study

2015

Automatically measuring the similarity between a pair of objects is a common and important task in the machine learning and pattern recognition fields. Being an object of study for decades, it has lately received an increasing interest from the scientific community. Usually, the proposed solutions have used either a feature-based or a distance-based representation to perform learning and classification tasks. This article presents the results of a comparative experimental study between these two approaches for computing similarity scores using a classification-based method. In particular, we use the Support Vector Machine as a flexible combiner both for a high dimensional feature space and …

Classification Boundary Approximation by Using Combination of Training Steps for Real-Time Image Segmentation

2007

We propose a method of real-time implementation of an approximation of the support vector machine decision rule. The method uses an improvement of a supervised classification method based on hyperrectangles, which is useful for real-time image segmentation. We increase the classification and speed performances using a combination of classification methods: a support vector machine is used during a pre-processing step. We recall the principles of the classification methods and we evaluate the hardware implementation cost of each method. We present our learning step combination algorithm and results obtained using Gaussian distributions and an example of image segmentation coming from a part …

Applying Wavelet Packet Decomposition and One-Class Support Vector Machine on Vehicle Acceleration Traces for Road Anomaly Detection

2013

Road condition monitoring through real-time intelligent systems has become more and more significant due to heavy road transportation. Road conditions can be roughly divided into normal and anomaly segments. The number of former should be much larger than the latter for a useable road. Based on the nature of road condition monitoring, anomaly detection is applied, especially for pothole detection in this study, using accelerometer data of a riding car. Accelerometer data were first labeled and segmented, after which features were extracted by wavelet packet decomposition. A classification model was built using one-class support vector machine. For the classifier, the data of some normal seg…

A kernel support vector machine based technique for Crohn’s disease classification in human patients

2017

In this paper a new technique for classification of patients affected by Crohn’s disease (CD) is proposed. The proposed technique is based on a Kernel Support Vector Machine (KSVM) and it adopts a Stratified K-Fold Cross-Validation strategy to enhance the KSVM classifier reliability. Traditional manual classification methods require radiological expertise and they usually are very time-consuming. Accordingly to three expert radiologists, a dataset composed of 300 patients has been selected for KSVM training and validation. Each patient was codified by 22 extracted qualitative features and classified as Positive or Negative as the related histological specimen result showed the CD. The eff…

JABB: Moving Towards The Future.

2012

Towards a design process for modeling MAS organizations

2012

The design of MAS organizations is a complex activity where a proper methodological approach may offer a significant advantage in enabling the conception of the best solution. Moreover, the aid provided by a supporting tool significantly contributes to make the approach technically sound and it is a fundamental ingredient of a feasible strategy to the development of large MASs. In this paper, we introduce a portion of methodological approach devoted to design MAS organizations and a preliminary version of a specific case tool, named MoT (Moise+ Tool), for supporting activities from design production to automatic code generation. MoT provides four kinds of diagrams based on a definite graphi…

Collaborative Activities and Methods

2016

Having described the context for collaborative activities (in Chap. 1), and reviewed the basic aspects of computer supported decision-making activities (in Chap. 2), we will present in this section several specific methods used in collaborative decision making. The methods and techniques presented in the chapter are independent of the information technologies upon they are instantiated.

An Architecture for Telenoid Robot as Empathic Conversational Android Companion for Elderly People

2015

In Human-Humanoid Interaction (HHI), empathy is the crucial key in order to overcome the current limitations of social robots. In facts, a principal defining characteristic of human social behaviour is empathy. The present paper presents a robotic architecture for an android robot as a basis for natural empathic human-android interaction. We start from the hypothesis that the robots, in order to become personal companions need to know how to empathic interact with human beings. To validate our research, we have used the proposed system with the minimalistic humanoid robot Telenoid. We have conducted human-robot interactions test with elderly people with no prior interaction experience with …