Buscar
Mostrando ítems 11-20 de 26
Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm
(2017)
This paper proposes a time series segmentation algorithm combining a clustering technique and a genetic algorithm to automatically find segments sharing common statistical characteristics in paleoclimate time series. The ...
A new approach for multi-view gait recognition on unconstrained paths
(2017)
Direction changes cause di culties for most of the gait recognition systems, due to appearance
changes. We propose a new approach for multi-view gait recognition, which
focuses on recognizing people walking on unconstrained ...
Evaluación distribuida transparente para algoritmos evolutivos en JCLEC
(2017)
La evaluaci ´on de los individuos en un algoritmo evolutivo constituye
generalmente la etapa con un mayor coste computacional. Este hecho se acent ´ua
en los problemas de miner´ıa de datos debido al cada vez mayor tama˜no ...
Keypoint descriptor fusion with Dempster-Shafer Theory
(2017)
Keypoint matching is the task of accurately nding the location of a scene point in two images. Many keypoint
descriptors have been proposed in the literature aiming at providing robustness against scale, translation and ...
Fisher Motion Descriptor for Multiview Gait Recognition
(2017)
The goal of this paper is to identify individuals by analyzing their gait. Instead of using binary silhouettes
as input data (as done in many previous works) we propose and evaluate the use of motion descriptors based
on ...
Automatic learning of gait signatures for people identification
(2017-12-05)
This work targets people identification in video based
on the way they walk (i.e. gait). While classical methods
typically derive gait signatures from sequences of binary
silhouettes, in this work we explore the use of ...
Mixing body-parts model for 2D human pose estimation in stereo videos
(Institution of Engineering and Technology, 2017)
This study targets 2D articulated human pose estimation (i.e. localisation of body limbs) in stereo videos. Although in recent years depth-based devices (e.g. Microsoft Kinect) have gained popularity, as they perform very ...
An Automatic Programming ACO-Based Algorithm for Classification Rule Mining
(2017-01-20)
In this paper we present a novel algorithm, named GBAP, that jointly uses
automatic programming with ant colony optimization for mining classification rules.
GBAP is based on a context-free grammar that properly guides ...
Multi-Objective Genetic Programming for Feature Extraction and Data Visualization
(2017)
Feature extraction transforms high dimensional
data into a new subspace of lower dimensionalitywhile keeping
the classification accuracy. Traditional algorithms do not
consider the multi-objective nature of this task. ...
Classification Rule Mining with Iterated Greedy
(2017-03-30)
In the context of data mining, classi cation rule discovering
is the task of designing accurate rule based systems that model the useful
knowledge that di erentiate some data classes from others, and is present
in large ...