Conferences related to Information filtering

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2020 American Control Conference (ACC)

The ACC is the annual conference of the American Automatic Control Council (AACC, the U.S. national member organization of the International Federation for Automatic Control (IFAC)). The ACC is internationally recognized as a premier scientific and engineering conference dedicated to the advancement of control theory and practice. The ACC brings together an international community of researchers and practitioners to discuss the latest findings in automatic control. The 2020 ACC technical program will

  • 2019 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2018 Annual American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2017 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2016 American Control Conference (ACC)

    Control systems theory and practice. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2015 American Control Conference (ACC)

    control theory, technology, and practice

  • 2014 American Control Conference - ACC 2014

    All areas of the theory and practice of automatic control, including but not limited to network control systems, model predictive control, systems analysis in biology and medicine, hybrid and switched systems, aerospace systems, power and energy systems and control of nano- and micro-systems.

  • 2013 American Control Conference (ACC)

    Control systems theory and practice. Conference themes on sustainability, societal challenges for control, smart healthcare systems. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2012 American Control Conference - ACC 2012

    All areas of control engineering and science.

  • 2011 American Control Conference - ACC 2011

    ACC provides a forum for bringing industry and academia together to discuss the latest developments in the area of Automatic Control Systems, from new control theories, to the advances in sensors and actuator technologies, and to new applications areas for automation.

  • 2010 American Control Conference - ACC 2010

    Theory and practice of automatic control

  • 2009 American Control Conference - ACC 2009

    The 2009 ACC technical program will cover new developments related to theory, application, and education in control science and engineering. In addition to regular technical sessions the program will also feature interactive and tutorial sessions and preconference workshops.

  • 2008 American Control Conference - ACC 2008

  • 2007 American Control Conference - ACC 2007

  • 2006 American Control Conference - ACC 2006 (Silver Anniversary)

  • 2005 American Control Conference - ACC 2005

  • 2004 American Control Conference - ACC 2004

  • 2003 American Control Conference - ACC 2003

  • 2002 American Control Conference - ACC 2002

  • 2001 American Control Conference - ACC 2001

  • 2000 American Control Conference - ACC 2000

  • 1999 American Control Conference - ACC '99

  • 1998 American Control Conference - ACC '98

  • 1997 American Control Conference - ACC '97

  • 1996 13th Triennial World Congress of the International Federation of Automatic Control (IFAC)


2020 IEEE 23rd International Conference on Information Fusion (FUSION)

The International Conference on Information Fusion is the premier forum for interchange of the latest research in data and information fusion, and its impacts on our society. The conference brings together researchers and practitioners from academia and industry to report on the latest scientific and technical advances.


2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

All topics related to engineering and technology management, including applicable analytical methods and economical/social/human issues to be considered in making engineering decisions.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


2020 Optical Fiber Communications Conference and Exhibition (OFC)

The Optical Fiber Communication Conference and Exhibition (OFC) is the largest global conference and exhibition for optical communications and networking professionals. For over 40 years, OFC has drawn attendees from all corners of the globe to meet and greet, teach and learn, make connections and move business forward.OFC attracts the biggest names in the field, offers key networking and partnering opportunities, and provides insights and inspiration on the major trends and technology advances affecting the industry. From technical presentations to the latest market trends and predictions, OFC is a one-stop-shop.


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Periodicals related to Information filtering

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Circuits and Systems II: Express Briefs, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


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Most published Xplore authors for Information filtering

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Xplore Articles related to Information filtering

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Spam filtering with several novel bayesian classifiers

2008 19th International Conference on Pattern Recognition, 2008

In this paper, we report our work on spam filtering with three novel Bayesian classification methods: aggregating one-dependence estimators (AODE), hidden Naive Bayes (HNB), locally weighted learning with Naive Bayes (LWNB). Other four traditional classifiers: Naive Bayes, k nearest neighbor (kNN), support vector machine (SVM), C4.5 are also performed for comparison. Four feature selection methods: gain ratio, information gain, symmetrical ...


Corrections to "Zolotarev polynomials and optimal fir filters"

IEEE Transactions on Signal Processing, 2000

None


Feature Selection With Controlled Redundancy in a Fuzzy Rule Based Framework

IEEE Transactions on Fuzzy Systems, 2018

Features that have good predictive power for classes or output variables are useful features and hence most feature selection methods try to find them. However, since there may be high correlation or nonlinear dependence between such good features, we may obtain a comparable performance even when we use only a few of those good features. Thus, a feature selection method ...


Computer generation of digital filter banks

1984 IEEE International Solid-State Circuits Conference. Digest of Technical Papers, 1984

This paper will cover a 16-channel filter bank for speech recognition and a single filter generated by computer programs from filter descriptions. The dynamic range in the filter bank (112 pole) is 68dB and the area is 32 sq. mm.


Comments on "An algorithm for real-time failure detection in Kalman filters"

IEEE Transactions on Automatic Control, 1998

In the above-mentioned paper by Zolghadri (ibid. vol.41 (1996)) the commenter objects to claims made of providing simpler implementation complexity or computational burden without an explicit mechanization for obtaining a solution ever actually being offered (and operations counts being tallied).


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Educational Resources on Information filtering

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IEEE.tv Videos

Collaborative Filtering
Recurrent Neural Networks for System Identification, Forecasting and Control
Collaborative Filtering II
Collaborative Filtering III
A 30-MHz-to-3-GHz CMOS Array Receiver with Frequency and Spatial Interference Filtering for Adaptive Antenna Systems: RFIC Industry Showcase
Intermodulation Distortion Mitigation in Microwave Amplifiers and Frequency Converters
Advances in Kernel Methods
A Recurrent Crossbar of Memristive Nanodevices Implements Online Novelty Detection - Christopher Bennett: 2016 International Conference on Rebooting Computing
Award-Winning Methods for LPIRC - Tao Sheng - LPIRC 2019
Neuromorphic Mixed-Signal Circuitry for Asynchronous Pulse Processing Neuromorphic Mixed-Signal Circuitry for Asynchronous Pulse Processing - Peter Petre: 2016 International Conference on Rebooting Computing
Information Technology: Careers for the information age
IEEE Future Directions: Green Information and Communications Technology: An Overview
Self-Organization with Information Theoretic Learning
AuthorLab: Featuring the IEEE Author Posting Policy
IEEE Medal of Honor Recipient (2007): Thomas Kailath
A Sub-mmW All-Passive Front-end with Implicit Capacitive Stacking - Vijaya K. Purushothaman - RFIC 2019 Showcase
EMBC 2011 -Keynote -The Impact of Information Technology on Health Care Delivery - John Glaser, PhD
Seven (Small) Steps to Protecting Big Trade Secrets and Confidential Information, Part 1 - IEEE USA
ICASSP 2012 Plenary-Dr. Chin-Hui Lee
Special Evening Panel Discussion: AI, Cognitive Information Processing, and Rebooting Computing - IEEE Rebooting Computing 2017

IEEE-USA E-Books

  • Spam filtering with several novel bayesian classifiers

    In this paper, we report our work on spam filtering with three novel Bayesian classification methods: aggregating one-dependence estimators (AODE), hidden Naive Bayes (HNB), locally weighted learning with Naive Bayes (LWNB). Other four traditional classifiers: Naive Bayes, k nearest neighbor (kNN), support vector machine (SVM), C4.5 are also performed for comparison. Four feature selection methods: gain ratio, information gain, symmetrical uncertainty and ReliefF, are used to select relevant words for spam filtering. Results of experiments on two corpora show the promising capabilities of Bayesian classifiers for spam filtering, especial for that of AODE.

  • Corrections to "Zolotarev polynomials and optimal fir filters"

    None

  • Feature Selection With Controlled Redundancy in a Fuzzy Rule Based Framework

    Features that have good predictive power for classes or output variables are useful features and hence most feature selection methods try to find them. However, since there may be high correlation or nonlinear dependence between such good features, we may obtain a comparable performance even when we use only a few of those good features. Thus, a feature selection method should select useful features with controlled redundancy. In this paper, we propose a novel learning method that imposes a penalty on the use of dependent/correlated features during system identification along with feature selection. This feature selection scheme can choose good features, discard indifferent, and derogatory features, and can control the level of redundancy in the set of selected features. This is probably the first attempt to feature selection with redundancy control using a fuzzy rule based framework. We have demonstrated the effectiveness of this method by utilizing a tenfold cross- validation setup on a synthetic dataset as well as on several commonly used datasets for classification problems. We have also compared our results with some state-of-the-art methods.

  • Computer generation of digital filter banks

    This paper will cover a 16-channel filter bank for speech recognition and a single filter generated by computer programs from filter descriptions. The dynamic range in the filter bank (112 pole) is 68dB and the area is 32 sq. mm.

  • Comments on "An algorithm for real-time failure detection in Kalman filters"

    In the above-mentioned paper by Zolghadri (ibid. vol.41 (1996)) the commenter objects to claims made of providing simpler implementation complexity or computational burden without an explicit mechanization for obtaining a solution ever actually being offered (and operations counts being tallied).

  • N-color Ferroelectric Binary Processor

    None

  • Sentence Similarity Computation by Integrating Shallow and Deep Information

    The calculation of sentence similarity has always been a hot topic in the field of natural language processing. The existing methods of sentence similarity computation usually consider either shallow or deep information of sentences. In this paper, we propose a method to integrating the two types of information. In the model, the shallow information is acquired based on word similarity and sentence length. The deep information is extracted via a parallel convolutional neural network. Then we integrate the two parts linearly. Experiments on SemEval 2007 task 5, similarity evaluation between Chinese and English sentences, show that the performance of our integration model is better than the models which treat the two types of information separately. For parallel convolutional neural network, a performance improvement is evident when shared parameters are assigned.

  • Blind Estimation of Digital Communication Channel Impolse Response Using Fractionally Spaced Samples

    None

  • Fuzzy Information Filter Operator and its Application

    In making decision, fuzzy information should be filtered to strengthen or weaken the influence of some factors according to some decision consciousness. An axiomatic system for fuzzy information filter operators is put forward after analyzing the essential feature of the existing filter methods. A general way to establish a fuzzy information filter operator is given, and the applications of filter operators to fuzzy cluster analysis and fuzzy comprehensive evaluation are also discussed

  • A fast focus+context viewing technique for the navigation of classical hierarchical layout

    We present a fast focus+context viewing technique for the navigation of classical hierarchical layouts. In these layout techniques, only one dimension is considerably important to the visualization. Based on this property, we consider only one dimension of distortion of views for browsing the hierarchical structures. We firstly introduce briefly some information visualization techniques. We then discuss the features, advantages and limitations of layout and navigation of current classical hierarchical layouts. We finally introduce our new focus+context technique that is simple and fast for the navigation and exploration of the classical hierarchical layouts.



Standards related to Information filtering

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