Search results for "categorization"

Hidden Markov Random Fields and Direct Search Methods for Medical Image Segmentation

2016

The goal of image segmentation is to simplify the representation of an image to items meaningful and easier to analyze. Medical image segmentation is one of the fundamental problems in image processing field. It aims to provide a crucial decision support to physicians. There is no one way to perform the segmentation. There are several methods based on HMRF. Hidden Markov Random Fields (HMRF) constitute an elegant way to model the problem of segmentation. This modelling leads to the minimization of an energy function. In this paper we investigate direct search methods that are Nelder-Mead and Torczon methods to solve this optimization problem. The quality of segmentation is evaluated on grou…

Il miglioramento energetico nel recupero degli edifici storici. Applicazione al patrimonio architettonico palermitano

L'architettura storica può assumere un ruolo rilevante nel raggiungimento degli obiettivi europei di efficienza energetica per il settore edile, obiettivi che, tuttavia, devono essere compatibili con la conservazione del patrimonio storico e del suo valore culturale. A tal fine è necessario far riferimento ai caratteri specifici dell'architettura storica e alla sua dimensione locale. La presente tesi, sulla base di tale assunto, esamina le prestazioni energetiche degli edifici storici e il loro potenziale miglioramento, concentrandosi sul patrimonio architettonico di Palermo, caso di studio significativo per l'area mediterranea. La ricerca, condotta con riferimento sia alla scala urbana sia…

A Neurocomputational Approach to Trained and Transitive Relations in Equivalence Classes

2017

A stimulus class can be composed of perceptually different but functionally equivalent stimuli. The relations between the stimuli that are grouped in a class can be learned or derived from other stimulus relations. If stimulus A is equivalent to B, and B is equivalent to C, then the equivalence between A and C can be derived without explicit training. In this work we propose, with a neurocomputational model, a basic learning mechanism for the formation of equivalence. We also describe how the relatedness between the members of an equivalence class is developed for both trained and derived stimulus relations. Three classic studies on stimulus equivalence are simulated covering typical and at…

Categorization of the historic architecture in Palermo for the purpose of energy assessment

2015

Il contributo espone l'applicazione al centro storico di Palermo di un metodo di "categorizzazione", sviluppato nell'ambito del progetto europeo Effesus per analizzare le prestazioni energetiche di comparti di architettura storica. Lo studio si concentra sul "mandamento" Castellammare e mira a combinare questa descrizione per categorie con l'impostazione tipologica del Piano Particolareggiato Esecutivo del centro storico. The strategies to improve the energy performance of historic buildings can be compatible with their conservation if they are referred to material, construction, distribution features, strictly related to a local level. In the EU project EFFESUS, a method of categorization …

Towards reactive navigation and attention skills for 3D intelligent characters

2003

This paper presents a neural design which is able to provide the necessary reactive navigation and attention skills for 3D embodied agents (virtual humanoids or characters). Based on Grossberg's neural model of conditioning [6], as recently implemented by Chang and Gaudiando [7], and according to the Adaptative Resonance Theory (ART) and the neuroscientific concepts associated, the neural design introduced has been divided in two main phases. Firstly, an environmentcategorization phase, where an on-line pattern recognition and categorization of the current agent sensory input data is carried out by a self organizing neural network, which will finally provide the agent's short term memory la…

Function Words Constrain On-Line Recognition of Verbs and Nouns in French 18-Month-Olds

2013

In this experiment using the conditioned head-turn procedure, 18-month-old French-learning toddlers were trained to respond to either a target noun (“la balle”/the ball) or a target verb (“je mange”/I eat). They were then tested on target word recognition in two syntactic contexts: the target word was preceded either by a correct function word (“une balle”/a ball or “on mange”/they eat), or by an incorrect function word, signaling a word from the other category (*“on balle”/they ball or *“une mange”/a eat). We showed that 18-month-olds exploit the syntactic context on-line to recognize the target word: verbs were recognized when preceded by a personal pronoun but not when preceded by a dete…

Effects of Prior Knowledge on Comprehending Text About Learning Strategies

2021

Good knowledge and skills in using different learning strategies is important for learning with understanding and even more critical during distance learning. Findings indicate that students tend to use and value ineffective learning strategies, thus there is need to educate students. This study aimed to analyze the possibility of using refutation text on learning strategies that students can study independently. The study examined how reported use of learning strategies and preexisting beliefs about the effectiveness of rehearsal and comprehension-oriented strategies relate to the comprehension of text about learning strategies, and how text comprehension is related to later use of strateg…

Sources of Dissatisfaction: Mobile Interaction with the Real World and Other Mobile Internet Applications

2013

Current consumer-level mobile Internet applications involve many potential sources of dissatisfaction. Studying these sources is necessary, especially for newer application areas such as mobile interaction with the real world. This study combined previous studies to form a categorization framework of dissatisfaction sources and gathered qualitative data using critical incident technique and overall evaluation questionnaire to describe the sources in detail. This article proposes insights into characteristics, temporality, and combinations of sources. peerReviewed

Gravitational weighted fuzzy c-means with application on multispectral image segmentation

2014

This paper presents a novel clustering approach based on the classic Fuzzy c-means algorithm. The approach is inspired from the concept of interaction between objects in physics. Each data point is regarded as a particle. A specific weight is associated with each data particle depending on its interaction with other particles. This interaction is induced by attraction forces between pairs of particles and the escape velocity from other particles. Classification experiments using two data sets from UCI repository demonstrate the outperformance of the proposed approach over other clustering algorithms. In addition, results demonstrate the effectiveness of the proposed scheme for segmentation …

3D skeleton-based human action classification: A survey

2016

In recent years, there has been a proliferation of works on human action classification from depth sequences. These works generally present methods and/or feature representations for the classification of actions from sequences of 3D locations of human body joints and/or other sources of data, such as depth maps and RGB videos.This survey highlights motivations and challenges of this very recent research area by presenting technologies and approaches for 3D skeleton-based action classification. The work focuses on aspects such as data pre-processing, publicly available benchmarks and commonly used accuracy measurements. Furthermore, this survey introduces a categorization of the most recent…