16 Result(s)
-
Chapter and Conference Paper
EEG Channel Relevance Analysis Using Maximum Mean Discrepancy on BCI Systems
Brain-Computer Interfaces bridge the communication between brains and devices. Channel selection as a stage for develo** BCI systems allows reducing costs and improve the overall performance. This paper prop...
-
Chapter and Conference Paper
Interactive Data Visualization Using Dimensionality Reduction and Dissimilarity-Based Representations
This work describes a new model for interactive data visualization followed from a dimensionality-reduction (DR)-based approach. Particularly, the mixture of the resulting spaces of DR methods is considered, w...
-
Chapter and Conference Paper
Interactive Data Visualization Using Dimensionality Reduction and Similarity-Based Representations
This work presents a new interactive data visualization approach based on mixture of the outcomes of dimensionality reduction (DR) methods. Such a mixture is a weighted sum, whose weighting factors are defined...
-
Chapter and Conference Paper
Kernel-Based Feature Relevance Analysis for ECG Beat Classification
The analysis of Electrocardiogram (ECG) records for arrhythmia classification favors the develo** of aid diagnosis systems. However, current devices provide large amounts of data being necessary the developm...
-
Chapter and Conference Paper
Theoretical Studies and Algorithms Regarding the Solution of Non-invertible Nonlinear Source Separation
In this paper, we analyse and solve a source separation problem based on a mixing model that is nonlinear and non-invertible at the space of mixtures. The model is relevant considering it may represent the dat...
-
Chapter and Conference Paper
Training Object Class Detectors from Eye Tracking Data
Training an object class detector typically requires a large set of images annotated with bounding-boxes, which is expensive and time consuming to create. We propose novel approach to annotate object locations...
-
Chapter and Conference Paper
Monocular Vision-Based Target Detection on Dynamic Transport Infrastructures
This paper describes a target detection system on transport infrastructures, based on monocular vision. The goal is to detect and track vehicles and pedestrians, dealing with objects variability, different ill...
-
Chapter and Conference Paper
Surface Classification for Road Distress Detection System Enhancement
This paper presents a vision-based road surface classification in the context of infrastructure inspection and maintenance, proposed as stage for improving the performance of a distress detection system. High ...
-
Chapter and Conference Paper
Patch Based Synthesis for Single Depth Image Super-Resolution
We present an algorithm to synthetically increase the resolution of a solitary depth image using only a generic database of local patches. Modern range sensors measure depths with non-Gaussian noise and at low...
-
Article
Automatic LightBeam Controller for driver assistance
In this article, we present an effective system for detecting vehicles in front of a camera-assisted vehicle (preceding vehicles traveling in the same direction and oncoming vehicles traveling in the opposite ...
-
Chapter and Conference Paper
Real-Time Vision-Based Vehicle Detection for Rear-End Collision Mitigation Systems
This paper describes a real-time vision-based system that detects vehicles approaching from the rear in order to anticipate possible rear-end collisions. A camera mounted on the rear of the vehicle provides im...
-
Chapter and Conference Paper
Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo
We propose an algorithm to improve the quality of depth-maps used for Multi-View Stereo (MVS). Many existing MVS techniques make use of a two stage approach which estimates depth-maps from neighbouring images ...
-
Article
Digital boundary tracking
In many three-dimensional imaging applications, the three-dimensional space is represented by an array of cubical volume elements (voxels) and a subset of the voxels is specified by some property. Objects in t...
-
Chapter and Conference Paper
Evolutionary stability in simple classifier systems
In this paper, the relatively new branch of mathematics known as Evolutionary Game Theory is proposed as a potentially useful tool when seeking to resolve certain of the more global, unanswered questions relat...
-
Chapter and Conference Paper
Inductive operators and rule repair in a hybrid genetic learning system: Some initial results
Symbolic knowledge representation schemes have been suggested as one way to improve the performance of classifier systems in the context of complex, real-world problems. The main reason for this is that unlike...
-
Chapter and Conference Paper
Improving Simple Classifier Systems to alleviate the problems of Duplication, Subsumption and Equivalence of Rules
For new, potentially improved rules that is, the search performed by a classifier system’s genetic algorithm is guided by the relative strength of the rules in the extant rule base. This paper identifies three...
