Kernel Learning Algorithms for Face Recognition

Fuzzy Cognitive Maps (FCM) constitute cognitive models in the form of fuzzy directed graphs consisting of two basic elements: the nodes, which basically correspond to concepts bearing different states of activation depending on the knowledge they represent, and the edges denoting the causal effects that each source node exercises on the receiving concept expressed through weights. Weights take values in the interval [-1,1], which denotes the positive, negative or neutral causal relationship between two concepts. An FCM can be typically obtained through linguistic terms, inherent to fuzzy systems, but with a structure similar to the neural networks, which facilitates data processing, and has capabilities for training and adaptation.During the last 10 ...

This volume contains the papers presented at ALGOSENSORS 2010, the 6th International Workshop on Algorithms for Sensor Systems, Wireless Ad Hoc Networks and Autonomous Mobile Entities, held on July 5, 2010 in Bordeaux, France. There were 31 submissions. Each submission was reviewed by four Program Committee members. The committee decided to accept 15 papers, among them two brief announcements. TheProgramCommitteewouldliketothankallwhosubmittedpapersandall the external reviewers who helped us evaluate the submissions. As the Program Chair of ALGOSENSORS 2010, I would like to express my deep gratitude to the Program Committee for all of their work during the paper review process and the fruitful discussions. I would also like to thank the Workshops Cha...

Information theory and inference, often taught separately, are here united in one entertaining textbook. These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to cluste...