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Traditional hard computing data mining techniques have concentrated on flat-file applications. Soft computing tools-such as fuzzy sets, artificial neural networks, genetic algorithms, and rough sets-however, offer the opportunity to apply a wide range of data types to a variety of vital functions by handling real-life uncertainty with low-cost solutions. Data Mining: Multimedia, Soft Computing, and Bioinformatics provides an accessible introduction to fundamental and advanced data mining technologies.

This readable survey describes data mining strategies for a slew of data types, including numeric and alpha-numeric formats, text, images, video, graphics, and the mixed representations therein. Actueel Opinie Interviews Recensies Videos.

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Beoordeel zelf slecht matig voldoende goed zeer goed. Verkooppositie: Gebonden, blz. Auteurs Over dit boek Artikelen en interviews Recensies. Samenvatting Rubriek: Computer en informatica.

Data Mining: Multimedia, Soft Computing, and Bioinformatics (Engels)

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Wij nemen binnen een werkdag contact met u op. Nuno Bandeira obtained his Ph. His research focuses on the development of algorithms for interpretation of proteomics and metabolomics mass spectrometry data from endogenous and digested peptides, discovery and localization of post-translational modifications, protein-protein interactions, sequencing of non-linear peptides with unknown amino acids and characterization of microbial, marine, reptile and plant natural products. In multimedia, dishes recognition is regarded as a difficult problem due to diverse appearance of food in shape and color because of different cooking and cutting methods.

Data Mining Multimedia Soft Computing and Bioinformatics by Mitra Sushmita Acharya Tinku - AbeBooks

As a result, while there is a large number of cooking recipes posted on the Internet, finding a right recipe for a food picture remains a challenge. The problem is also shared among health-related applications. This talk will share with you the challenge of recognizing ingredients in dishes for recipe retrieval.

Finding a recipe that exactly describes a dish is challenging because ingredient compositions vary across geographical regions, cultures, seasons and occasions. I will introduce deep neutral architectures that explore the relationship among food, ingredients and recipes for recognition.

Data Mining: Multimedia, Soft Computing, and Bioinformatics (Engels)

The learnt deep features are used for cross-modal retrieval of food and recipes. Chong-Wah Ngo is a professor in the Dept. His main research interests include large-scale multimedia information retrieval, video computing, multimedia mining and visualization. He is the founding leader of video retrieval group VIREO at City University, a research team that releases open source softwares, tools and datasets widely used in the multimedia community. Abhik received his Ph.