A5077572996- Face and Expression Recognition
- Face recognition and analysis
- Robotics and Sensor-Based Localization
- Robotic Path Planning Algorithms
- Biometric Identification and Security
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Emotion and Mood Recognition
- Dementia and Cognitive Impairment Research
- Metal Extraction and Bioleaching
- Minerals Flotation and Separation Techniques
- linguistics and terminology studies
- Text and Document Classification Technologies
- Mineral Processing and Grinding
- Multidisciplinary Science and Engineering Research
- Metallurgical Processes and Thermodynamics
- Machine Learning and Data Classification
- Solar Radiation and Photovoltaics
- Evolutionary Psychology and Human Behavior
- Rough Sets and Fuzzy Logic
- Robotics and Automated Systems
- Health disparities and outcomes
- Sentiment Analysis and Opinion Mining
- Robot Manipulation and Learning
- Aging, Elder Care, and Social Issues
Universidad Católica del Norte
2010-2024
Universidad Politécnica de Madrid
2013
Emerging applications of computer vision and pattern recognition in mobile devices networked computing require the development resource-limited algorithms. Linear classification techniques have an important role to play this context, given their simplicity low computational requirements. The paper reviews state-of-the-art gender classification, giving special attention linear relations. It discusses why are not achieving competitive results shows how obtain performances. Our work confirms...
In recent years, photovoltaic energy has become one of the most implemented electricity generation options to help reduce environmental pollution suffered by planet. Accuracy in this forecasting is essential increase amount renewable that can be introduced existing electrical grid systems. The objective work based on developing various computational models capable making short-term about generated a solar plant. For implementation these models, hybrid architecture recurrent neural networks...
The Addenbrooke’s Cognitive Examination III is one of the most widely used tests to assess cognitive impairment. Although previous studies have shown adequate levels diagnostic utility detect severe impairment, it has not sensitivity mild decline. aim this study was evaluate psychometric properties in a large sample elderly people through Item Response Theory, due lack using approach. A cross-sectional conducted with 1164 from age 60 upwards, which 63 had prior diagnosis Alzheimer dementia....
This paper presents a solution to the problem of recognizing gender human face from an image. We adopt holistic approach by using cropped and normalized texture as input Naive Bayes classifier. First it is introduced Class-Conditional Probabilistic Principal Component Analysis (CC-PPCA) technique reduce dimensionality classification attribute vector enforce independence assumption new has desirable property simple parametric model for marginals. Moreover this can be estimated with very few...
In this paper we describe a collection of course materials designed to be used in an undergraduate introduction artificial intelligence (AI) course. These include three programming assignments, each touching upon core AI topics, which require that the students build main functionalities guide robot. assignments were carefully allow same solution work both with robot simulator and inexpensive web-cam as well real robots. An overview is given along references online versions resources developed teach
The huge industrial data recorded by several years in copper bioleaching operations represents an opportunity for the technology improvement. A systematic approach is being developed to get insights from field process and deliver obtained knowledge with aim serve as foundation optimal decision making even presence of inherent variations. development this Decision Support System (DSS) considers a Q-PCR array, database logging storage, application suitable statistical computational tools...
Previous research has shown the benefits of early detection and treatment dementia. This is usually performed manually by one or more clinicians based on reports psychometric testing. Machine learning algorithms provide an alternative method prediction that may contribute, with automated process insights, to diagnosis classification severity level The aim this study explore use neuropsychological data from a reduced version Addenbrooke's Cognitive Examination III (ACE-III) predict absence...
Emotion recognition is a complex task due to the great intraclass and inter-class variability that exists implicitly in problem. From point of view intra-class, an emotion can be expressed by different people, which generates representations it. For case, there are some kinds emotions alike. Traditionally, problem has been approached ways, highlighting analysis images determine facial expression person extrapolate it type emotion, also, use audio sequences estimate speaker. The present work...
RESUMENLa clasificación demográfica, y en particular el reconocimiento de género, es un tema bastante interés para los investigadores debido a su importancia diversas aplicaciones, tales como, áreas vigilancia, rostros, indexación vídeos, estudios marketing dinámico, entre otras.Éste artículo propone una nueva forma llevar cabo la género usando vectores frecuencia basados descriptores locales SIFT o SURF.El objetivo poder determinar si contienen información discriminante.El entrenamiento...