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2014 IEEE International Conference on Data Engineering (ICDE)
ICDE conference addresses research issues in designing, building, managing, and evaluating advanced data-intensive systems and applications. It is a leading forum for researchers, practitioners, developers, and users to explore cutting-edge ideas and to exchange techniques, tools, and experiences.
2013 IEEE 54th Annual Symposium on Foundations of Computer Science (FOCS)
Mathematical research on the foundations of computer science, including algorithms, complexity, and their applications to other fields of computer science and other sciences
2013 International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
People perceive the Web increasingly as a social medium that fosters interaction among people, sharing of experiences and knowledge, group activities, community formation and evolution. This has led to a rising prominence of Social Network Analysis and Mining (SNAM) in academia, politics, homeland security and business. The 2013 international conference on Advances in Social Network Analysis and Mining (ASONAM-13 will primarily provide an interdisciplinary venue brings together practitioners and researchers
2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
BIBM 2012 solicits high-quality original research papers (including significant work-in-progress) in any aspect of bioinformatics, biomedicine and healthcare informatics. New computational techniques and methods in machine learning; data mining; text analysis; pattern recognition; knowledge representation; databases; data modeling; combinatorics; stochastic modeling; string and graph algorithms; linguistic methods; robotics; constraint satisfaction; data visualization; parallel computation; data integration
The 2nd International Conference on Biomedical Engineering and Computer Science (ICBECS 2011) will be held from April 23th to 24th, 2010 in Wuhan, China, which will bring together top researchers from Asian Pacific areas, North America, Europe and around the world to exchange research results and address open issues in all aspects of biomedical engineering, bioinformatics and computer science.
Bucciarelli, A.; Salibra, A. Logic in Computer Science, 2004. Proceedings of the 19th Annual IEEE Symposium on , 2004
Sensible λ-theories are equational extensions of the untyped lambda calculus that equate all the unsolvable λ-terms and are closed under derivation. A longstanding open problem in lambda calculus is whether there exists a non- syntactic model whose equational theory is the least sensible λ-theory H (generated by equating all the unsolvable terms). A related question is whether, given a class ...
Yuqiang Fang; Ruili Wang; Bin Dai Data Mining (ICDM), 2012 IEEE 12th International Conference on , 2012
The key task in graph-oriented learning is constructing an informative graph to model the geometrical and discriminant structure of a data manifold. Since traditional graph construction methods are sensitive to noise and less datum- adaptive to changes in density, a new graph construction method so-called ℓ1-Graph has been proposed  recently. A graph construction method needs to have two important ...
Jeya Jothi, R.M.; Amutha, A. Emerging Trends in Electrical and Computer Technology (ICETECT), 2011 International Conference on , 2011
Network is the engineering discipline concerned with the communication between computer systems or devices. A computer network is any set of computers or devices connected to each other with the ability to exchange data. Computers on a network are sometimes called nodes. Networks can be broadly classified as using graphs. In the most common sense of the term, a graph ...
Uesu, H.; Kanagawa, S.; Shinkai, K.; Nagashima, K. Innovations in Bio-Inspired Computing and Applications (IBICA), 2012 Third International Conference on , 2012
Generally, we could efficiently analyze the inexact information and investigate the fuzzy relation by applying the fuzzy graph theory. We would extend the fuzzy graph theory, and propose a fuzzy node fuzzy graph. Since a fuzzy node fuzzy graph is complicated to analyze, we would transform it to a simple fuzzy graph by using T-norm family. In addition, to investigate ...
Chunying Zhang; Xue Zhang Computer Science & Education (ICCSE), 2013 8th International Conference on , 2013
Integrating characteristics' of uncertain graph and attribute graph, this paper presents" the uncertain attribute graph " concept on the basis of practical problem that relationship between individual and individual exists uncertainty and Individual and its relationship with attribute uncertainty in social network. And it descript its attribute. It respectively gives these concepts, edges uncertain attribute graph, vertices uncertain attribute graph, ...
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Moschytz, George Design of Active-RC Filters for the Analog Front End (of Integrated Circuit System Chips) , 2008
The concept of the 'Analog Front End' (AFE), which is the interface to the real world in most IC-system chips, is first introduced. The course then focuses on active-RC filters which constitute an essential part of most AFEs. The formulation of filter specifications and the basic ideas associated with classical filter approximation theory are then briefly reviewed. Some key points ...
No standards are currently tagged "Graph theory"
The fundamental nature of the communication process; storage, transmission and utilization of information; coding and decoding of digital and analog communication transmissions; study of random interference and information-bearing signals; and the development of information-theoretic techniques in diverse areas, including data communication and recording systems, communication networks, cryptography, detection systems, pattern recognition, learning, and automata.
Statistical and structural pattern recognition; image analysis; computational models of vision; computer vision systems; enhancement, restoration, segmentation, feature extraction, shape and texture analysis; applications of pattern analysis in medicine, industry, government, and the arts and sciences; artificial intelligence, knowledge representation, logical and probabilistic inference, learning, speech recognition, character and text recognition, syntactic and semantic processing, understanding natural language, expert systems, ...
The technology of transmission, recording, reproduction, processing, and measurement of speech; other audio-frequency waves and other signals by digital, electronic, electrical, acoustic, mechanical, and optical means; the components and systems to accomplish these and related aims; and the environmental, psychological, and physiological factors of thesetechnologies.
Specific topics include, but are not limited to: a) visualization techniques and methodologies; b) visualization systems and software; c) volume visulaization; d) flow visualization; e) information visualization; f) multivariate visualization; g) modeling and surfaces; h) rendering techniques and methodologies; i) graphics systems and software; j) animation and simulation; k) user interfaces; l) virtual reality; m) visual programming and program visualization; ...