Conferences related to Minimax techniques

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ICC 2021 - IEEE International Conference on Communications

IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.


2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


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 29th International Symposium on Industrial Electronics (ISIE)

ISIE focuses on advancements in knowledge, new methods, and technologies relevant to industrial electronics, along with their applications and future developments.


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


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Periodicals related to Minimax techniques

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Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


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 ...


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 I: Regular Papers, 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.


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 Minimax techniques

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Xplore Articles related to Minimax techniques

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Correction to "Efficient Minimax Design of Networks Without Using Derivatives"

IEEE Transactions on Microwave Theory and Techniques, 1976

In the above paper, on page 804, the logic of the flow diagram in Fig. 1 appears to be somewhat in error. The corrected flow diagram is shown here in Fig 1.


A new scheme for designing IIR filters with finite wordlength coefficients

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1986

A scheme for designing IIR digital filters, with specified coefficient wordlengths based on successive digitization and reoptimization, is presented and compared to related approaches via a number of design examples. The ordered digitization of the coefficients based on their sensitivity, with each digitization followed by reoptimization of the remaining coefficients, results in a much reduced computation effort in comparison to ...


Design of FIR digital filters with minimum weight representation

Proceedings of ISCAS'95 - International Symposium on Circuits and Systems, 1995

This paper proposes an algorithm for the iterative design of FIR digital filters whose coefficients have minimum weight representation. The total number of nonzero bits is limited. In each iteration the coefficient vector is up-dated so that some sets of the amplitude ripples become smaller. The direction is found by solving linear simultaneous equations. The method evaluates the normalized peak ...


Decision criteria under uncertainty using fuzzy concept

Innovation in Technology Management. The Key to Global Leadership. PICMET '97, 1997

Summary form only given. A minimax decision philosophy dictates that attention must be focused only on the most damaging outcomes in order to limit the damage as much as possible. Using a sequence of intervals of confidence instead of a sequence of ordinary numbers will give more reliable results. Therefore, in the case of fuzziness, triangular fuzzy numbers are very ...


Stable third-order tensor representation for colour image classification

The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), 2005

General tensors can represent colour images more naturally than conventional features; however, the general tensors' stability properties are not reported and remain to be a key problem. In this paper, we use the tensor minimax probability (TMPM) to prove that the tensor representation is stable. The proof is based on the random subspace method through a large number of experiments.


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Educational Resources on Minimax techniques

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IEEE.tv Videos

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IMS 2011 Microapps - A Comparison of Noise Parameter Measurement Techniques
IMS 2011 Microapps - Techniques for Validating a Vector Network Analyzer Calibration When Using Microwave Probes
IMS 2012 Microapps - High-Power VNA Calibration Techniques Keith Anderson, Agilent
IMS 2012 Microapps - Generation and Analysis Techniques for Cost-efficient SATCOM Measurements Richard Overdorf, Agilent
IMS 2011 Microapps - IQ Mixer Measurements: Techniques for Complete Characterization of IQ Mixers Using a Multi-Port Vector Network Analyzer
IMS 2011 Microapps - Improved Microwave Device Characterization and Qualification Using Affordable Microwave Microprobing Techniques for High-Yield Production of Microwave Components
IMS 2012 Microapps - Practical Techniques for Recognizing and Diagnosing Root Causes of Poor Waferlevel S-parameter Calibrations
IMS 2011 Microapps - Improved Soldering Techniques for Cylindrical RF Connectors Using HIG Induction Technology
State-of-the art techniques for advanced vehicle dynamics control & vehicle state estimation
Micro-Apps 2013: Alternative Methods and Optimization Techniques for Vector Modulation
MicroApps: New Technologies and Techniques for Wideband Analysis (Agilent Technologies)
IMS Organizers: Samir El-Ghazaly, President of MTT-S on Society Mission and Structure
IMS 2010 Special Features: Recognizing Chuck Swift's 52 Years of Service
IMS Organizer: Richard Snyder, President Elect for MTT-S
IMS Honorary Session for Tatsuo Itoh: Jenshan Lin
Alan S. Willsky - IEEE Jack S. Kilby Signal Processing Medal, 2019 IEEE Honors Ceremony
Design of Monolithic Silicon-Based Envelope-Tracking Power Amplifiers for Broadband Wireless Applications
Addressing Key Test Challenges for LTE/LTE- A Multi-Antenna Beamforming Designs: MicroApps 2015 - Keysight Technologies
IMS Honorary Session for Tatsuo Itoh: C-K Clive Tzuang

IEEE-USA E-Books

  • Correction to "Efficient Minimax Design of Networks Without Using Derivatives"

    In the above paper, on page 804, the logic of the flow diagram in Fig. 1 appears to be somewhat in error. The corrected flow diagram is shown here in Fig 1.

  • A new scheme for designing IIR filters with finite wordlength coefficients

    A scheme for designing IIR digital filters, with specified coefficient wordlengths based on successive digitization and reoptimization, is presented and compared to related approaches via a number of design examples. The ordered digitization of the coefficients based on their sensitivity, with each digitization followed by reoptimization of the remaining coefficients, results in a much reduced computation effort in comparison to related design approaches.

  • Design of FIR digital filters with minimum weight representation

    This paper proposes an algorithm for the iterative design of FIR digital filters whose coefficients have minimum weight representation. The total number of nonzero bits is limited. In each iteration the coefficient vector is up-dated so that some sets of the amplitude ripples become smaller. The direction is found by solving linear simultaneous equations. The method evaluates the normalized peak ripples in the minimax sense. Several examples show that the proposed method yields superior filter responses compared to the conventional methods.

  • Decision criteria under uncertainty using fuzzy concept

    Summary form only given. A minimax decision philosophy dictates that attention must be focused only on the most damaging outcomes in order to limit the damage as much as possible. Using a sequence of intervals of confidence instead of a sequence of ordinary numbers will give more reliable results. Therefore, in the case of fuzziness, triangular fuzzy numbers are very appropriate to use instead of those single possible outcomes. The Hurwicz criterion can be used for those situations in which the decision maker feels neither extremely pessimistic or optimistic. The degree of optimism is established by using a coefficient which is called an index of optimism. The Hurwicz criterion is criticized due to the difficulty of assigning a particular value to the index of optimism. In the case of fuzziness, a triangular fuzzy number for the index of optimism can also be used. In other words, the degree of optimism can be given as a membership function. In the fuzzy minimax regret criterion, the minimax regret rule is based on the assumption that a decision maker wants to avoid any regret or at least to minimize the maximum regret about a choice. To use the criterion, first a regret matrix is developed by finding out the maximum payoff for each state. Second, each payoff in the column is subtracted from the maximum payoff that has been recognized, and this process is reiterated for each column. Finally, the alternative that minimizes the maximum regret is then selected.

  • Stable third-order tensor representation for colour image classification

    General tensors can represent colour images more naturally than conventional features; however, the general tensors' stability properties are not reported and remain to be a key problem. In this paper, we use the tensor minimax probability (TMPM) to prove that the tensor representation is stable. The proof is based on the random subspace method through a large number of experiments.

  • State Estimation With Initial State Uncertainty

    The problem of state estimation with initial state uncertainty is approached from a statistical decision theory point of view. The initial state is regarded as deterministic and unknown. It is only known that the initial state vector belongs to a specified parameter set. The (frequentist) risk is considered as the performance measure and the minimax approach is adopted. Minimax estimators are derived for some important cases of unbounded parameter sets. If the parameter set is bounded, a method of finding estimators whose maximum risk is arbitrarily close to that of a minimax estimator is provided. This method is illustrated with an example in which an estimator whose maximum risk is at most 3% larger than that of a minimax estimator is derived.

  • SLED equalization using all-fiber unbalanced Mach-Zehnder interferometer

    In this paper, a mini-max design approach is proposed to obtain a Broadband Super-luminescent Light Emitted Diode (SLED) output spectrum equalizer by using all-fiber Mach-Zehnder Interferometer (MZI). The effectiveness of the proposed method is demonstrated both in simulation and in experiments.

  • Using cellular automata as heuristic of computer Go

    Based on the essential similarity of the cellular automata (CA) and the game of Go, this paper proposes a CA-based candidate move generator (GoCA) as well as the correlative knowledge represent method. A scheme for computer Go is also propounded. In which, GoCA perform the task of learning rules from expert game records, and then as a heuristic method, it combines with the minimax search to prune volume branches from the game tree. The experimental result shows the feasibility of anchoring our hope on it to improve the competitive ability of computer Go.

  • A class of distortionless codes designed by Bayes decision theory

    The problem of distortionless encoding when the parameters of the probabilistic model of a source are unknown is considered from a statistical decision theory point of view. A class of predictive and nonpredictive codes is proposed that are optimal within this framework. Specifically, it is shown that the codeword length of the proposed predictive code coincides with that of the proposed nonpredictive code for any source sequence. A bound for the redundancy for universal coding is given in terms of the supremum of the Bayes risk. If this supremum exists, then there exists a minimax code whose mean code length approaches it in the proposed class of codes, and the minimax code is given by the Bayes solution relative to the prior distribution of the source parameters that maximizes the Bayes risk.<<ETX>>

  • Improved Alpha-Beta Pruning of Heuristic Search in Game-Playing Tree

    The game playing is an import domain of heuristic search, and its procedure is represented by a special and/or tree. Alpha-beta pruning is always used for problem solving by searching the game-playing-tree. In this paper, the plan which child nodes are inserted into game-playing-tree from large value of estimation function to small one when the node of no receiving fixed ply depth is expand is proposed based on alpha-beta pruning. It improves effect of search.



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