The increasing use of multimedia in computer applications has increased the relevance of visual databases. These databases now need new methods for archiving and retrieving information, and this text concentrates on meeting such a need.
This book covers state of the art techniques for health personnel training using natural interfaces, immersive systems and serious games paradigms. Opening with a comprehensive introduction to the state of immersive visualisation techniques of interaction and simulation used in the industry and training research, the authors then focus on computer vision techniques used to develop realtime training systems effectively, providing recognition of actions and re-identification of persons. Principles of serious gaming applied to immersive natural interfaces are also addressed. The book culminates with the presentation of two prototypes of immersive systems for natural interaction, that the authors have developed and tested for the training of medical personnel. These prototypes use the principles and the technologies described in the first part of the book. Natural Interaction in Medical Training offers a unique point of view from medical professionals and computer engineers.
The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking. Sentiment Analysis in Social Networks begins with an overview of the latest research trends in the field. It then discusses the sociological and psychological processes underling social network interactions. The book explores both semantic and machine learning models and methods that address context-dependent and dynamic text in online social networks, showing how social network streams pose numerous challenges due to their large-scale, short, noisy, context- dependent and dynamic nature. Further, this volume: Takes an interdisciplinary approach from a number of computing domains, including natural language processing, machine learning, big data, and statistical methodologies Provides insights into opinion spamming, reasoning, and social network analysis Shows how to apply sentiment analysis tools for a particular application and domain, and how to get the best results for understanding the consequences Serves as a one-stop reference for the state-of-the-art in social media analytics Takes an interdisciplinary approach from a number of computing domains, including natural language processing, big data, and statistical methodologies Provides insights into opinion spamming, reasoning, and social network mining Shows how to apply opinion mining tools for a particular application and domain, and how to get the best results for understanding the consequences Serves as a one-stop reference for the state-of-the-art in social media analytics
3D Surface Reconstruction: Multi-Scale Hierarchical Approaches presents methods to model 3D objects in an incremental way so as to capture more finer details at each step. The configuration of the model parameters, the rationale and solutions are described and discussed in detail so the reader has a strong understanding of the methodology. Modeling starts from data captured by 3D digitizers and makes the process even more clear and engaging. Innovative approaches, based on two popular machine learning paradigms, namely Radial Basis Functions and the Support Vector Machines, are also introduced. These paradigms are innovatively extended to a multi-scale incremental structure, based on a hierarchical scheme. The resulting approaches allow readers to achieve high accuracy with limited computational complexity, and makes the approaches appropriate for online, real-time operation. Applications can be found in any domain in which regression is required. 3D Surface Reconstruction: Multi-Scale Hierarchical Approaches is designed as a secondary text book or reference for advanced-level students and researchers in computer science. This book also targets practitioners working in computer vision or machine learning related fields.
This book constitutes the refereed proceedings of the 8th Iberoamerican Congress on Pattern Recognition, CIARP 2003, held in Havana, Cuba, in November 2003. The 82 revised full papers presented together with two invited papers were carefully reviewed and selected from 140 submissions. All current issues in pattern recognition, image processing, and computer vision are addressed as well as applications in domains like robotics, health, entertainment, space exploration, telecommunications, speech processing, data analysis, document recognition, etc.
Fluido corrosivo, prosa germogliante che si espande a raggiera e si incunea sottopelle. Capitoli densi portati fino alle estreme conseguenze, lungo un percorso che dai sensi giunge al centro delle cose umane, scartando l'etica e la morale. Roba fresca. Un onesto tentativo di scoperchiare l'inconscio, di svolgere l'intricato reticolo che racchiude la poesia del cosmo. Sardegna come un'infuocata Copacabana, come i sobborghi più infimi dell'Havana, dove i personaggi si compenetrano fino a rimanere quell'essenza luminosa e baluginante che è la mutevole luce dello spirito. Opera conturbante, velenosa, negra. Una storia imprevedibile.
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