Estefanía Talavera, Alexandre Cola, N. Petkov, P. Radeva
{"title":"Towards Egocentric Person Re-Identification and Social Pattern Analysis","authors":"Estefanía Talavera, Alexandre Cola, N. Petkov, P. Radeva","doi":"10.3233/978-1-61499-929-4-203","DOIUrl":"https://doi.org/10.3233/978-1-61499-929-4-203","url":null,"abstract":"Wearable cameras capture a first-person view of the daily activities of the camera wearer, offering a visual diary of the user behaviour. Detection of the appearance of people the camera user interacts with for social interactions analysis is of high interest. Generally speaking, social events, lifestyle and health are highly correlated, but there is a lack of tools to monitor and analyse them. We consider that egocentric vision provides a tool to obtain information and understand users social interactions. We propose a model that enables us to evaluate and visualize social traits obtained by analysing social interactions appearance within egocentric photostreams. Given sets of egocentric images, we detect the appearance of faces within the days of the camera wearer, and rely on clustering algorithms to group their feature descriptors in order to re-identify persons. Recurrence of detected faces within photostreams allows us to shape an idea of the social pattern of behaviour of the user. We validated our model over several weeks recorded by different camera wearers. Our findings indicate that social profiles are potentially useful for social behaviour interpretation.","PeriodicalId":276901,"journal":{"name":"Applications of Intelligent Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121445630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Mauro, Francesco Puja, S. Grazioso, Valsamis Ntouskos, Marta Sanzari, Edoardo Alati, L. Freda, F. Pirri
{"title":"Visual Search and Recognition for Robot Task Execution and Monitoring","authors":"L. Mauro, Francesco Puja, S. Grazioso, Valsamis Ntouskos, Marta Sanzari, Edoardo Alati, L. Freda, F. Pirri","doi":"10.3233/978-1-61499-929-4-94","DOIUrl":"https://doi.org/10.3233/978-1-61499-929-4-94","url":null,"abstract":"Visual search of relevant targets in the environment is a crucial robot skill. We propose a preliminary framework for the execution monitor of a robot task, taking care of the robot attitude to visually searching the environment for targets involved in the task. Visual search is also relevant to recover from a failure. The framework exploits deep reinforcement learning to acquire a \"common sense\" scene structure and it takes advantage of a deep convolutional network to detect objects and relevant relations holding between them. The framework builds on these methods to introduce a vision-based execution monitoring, which uses classical planning as a backbone for task execution. Experiments show that with the proposed vision-based execution monitor the robot can complete simple tasks and can recover from failures in autonomy.","PeriodicalId":276901,"journal":{"name":"Applications of Intelligent Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121628781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
B. R. C. Álvarez, Pelayo Quirós, Bernardo Fernández
{"title":"Semi-Supervised Learning for Spanish Speech Recognition Using Deep Neural Networks","authors":"B. R. C. Álvarez, Pelayo Quirós, Bernardo Fernández","doi":"10.3233/978-1-61499-929-4-19","DOIUrl":"https://doi.org/10.3233/978-1-61499-929-4-19","url":null,"abstract":"","PeriodicalId":276901,"journal":{"name":"Applications of Intelligent Systems","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122376706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Bárcena-González, M. Guerrero-Lebrero, E. Guerrero, D. Reyes, B. Nuñez-Moraleda, Mario Rivas-Sánchez, A. Yáñez, D. González, P. Galindo
{"title":"Application of Super-Resolution Techniques to Transmission Electron Microscopy Images","authors":"G. Bárcena-González, M. Guerrero-Lebrero, E. Guerrero, D. Reyes, B. Nuñez-Moraleda, Mario Rivas-Sánchez, A. Yáñez, D. González, P. Galindo","doi":"10.3233/978-1-61499-929-4-42","DOIUrl":"https://doi.org/10.3233/978-1-61499-929-4-42","url":null,"abstract":"","PeriodicalId":276901,"journal":{"name":"Applications of Intelligent Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125378827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Distances Between Tensor Subspaces","authors":"Hayato Itoh, A. Imiya, T. Sakai","doi":"10.3233/978-1-61499-929-4-50","DOIUrl":"https://doi.org/10.3233/978-1-61499-929-4-50","url":null,"abstract":"","PeriodicalId":276901,"journal":{"name":"Applications of Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129430791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Alsahaf, G. Azzopardi, B. Ducro, R. Veerkamp, N. Petkov
{"title":"Predicting Slaughter Weight in Pigs with Regression Tree Ensembles","authors":"A. Alsahaf, G. Azzopardi, B. Ducro, R. Veerkamp, N. Petkov","doi":"10.3233/978-1-61499-929-4-1","DOIUrl":"https://doi.org/10.3233/978-1-61499-929-4-1","url":null,"abstract":"Domestic pigs vary in the age at which they reach slaughter weight even under the controlled conditions of modern pig farming. Early and accurate estimates of when a pig will reach slaughter weight can lead to logistic efficiency in farms. In this study, we compare four methods in predicting the age at which a pig reaches slaughter weight (120 kg). Namely, we compare the following regression tree-based ensemble methods: random forest (RF), extremely randomized trees (ET), gradient boosted machines (GBM), and XGBoost. Data from 32979 pigs is used, comprising a combination of phenotypic features and estimated breeding values (EBV). We found that the boosting ensemble methods, GBM and XGBoost, achieve lower prediction errors than the parallel ensembles methods, RF and ET. On the other hand, RF and ET have fewer parameters to tune, and perform adequately well with default parameter settings.","PeriodicalId":276901,"journal":{"name":"Applications of Intelligent Systems","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127920163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring Different Normalization and Classification Approaches for Mammography Analysis with CNNs","authors":"Ana C. Perre, Luís A. Alexandre, L. Freire","doi":"10.3233/978-1-61499-929-4-315","DOIUrl":"https://doi.org/10.3233/978-1-61499-929-4-315","url":null,"abstract":"","PeriodicalId":276901,"journal":{"name":"Applications of Intelligent Systems","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114522215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Konstantinidis, B. S. Dees, G. G. Calvi, D. Mandic
{"title":"Text Mining - A Key Lynchpin in the Investment Process: A Survey","authors":"A. Konstantinidis, B. S. Dees, G. G. Calvi, D. Mandic","doi":"10.3233/978-1-61499-929-4-181","DOIUrl":"https://doi.org/10.3233/978-1-61499-929-4-181","url":null,"abstract":"","PeriodicalId":276901,"journal":{"name":"Applications of Intelligent Systems","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116874019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A User Model Ontology for Adaptive Systems in Cultural Tourism Domain","authors":"L. Pandolfo, Luca Pulina, E. Grosso","doi":"10.3233/978-1-61499-929-4-212","DOIUrl":"https://doi.org/10.3233/978-1-61499-929-4-212","url":null,"abstract":"","PeriodicalId":276901,"journal":{"name":"Applications of Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123967638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. R. Pratama, Frans J. Simanjuntak, A. Lazovik, Marco Aiello
{"title":"Low-Power Appliance Recognition Using Recurrent Neural Networks","authors":"A. R. Pratama, Frans J. Simanjuntak, A. Lazovik, Marco Aiello","doi":"10.3233/978-1-61499-929-4-239","DOIUrl":"https://doi.org/10.3233/978-1-61499-929-4-239","url":null,"abstract":"Indoor energy consumption can be understood by breaking overall power consumption down into individual components and appliance activations. The clas- sification of components of energy usage is known as load disaggregation or ap- pliance recognition. Most of the previous efforts address the separation of devices with high energy demands. In many contexts though, such as an office, the devices to separate are numerous, heterogeneous, and have low consumptions. The disag- gregation problem becomes then more challenging and, at the same time, crucial for understanding the user context. In fact, from the disaggregation one can deduce the number of people in an office room, their activities, and current energy needs. In this paper, we review the characteristics of office appliances load disaggregation efforts. We then illustrate a proposal for a classification model based on Recur- rent Neural Network (RNN). RNN is used to infer device activation from aggre- gated energy consumptions. The approach shows promising results in recognizing 14 classes of 5 different devices being operated in our office, reaching 99.4% of Cohen’s Kappa measure.","PeriodicalId":276901,"journal":{"name":"Applications of Intelligent Systems","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123499484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}