Dynamic programming

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In mathematics and computer science, dynamic programming is a method for solving complex problems by breaking them down into simpler subproblems. (Wikipedia.org)






Conferences related to Dynamic programming

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2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)

Promote the exchange of ideas between academia and industry in the field of computer and networks dependability


2019 IEEE 58th Conference on Decision and Control (CDC)

The CDC is recognized as the premier scientific and engineering 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, systems and control, and related areas.The 58th CDC will feature contributed and invited papers, as well as workshops and may include tutorial sessions.The IEEE CDC is hosted by the IEEE Control Systems Society (CSS) in cooperation with the Society for Industrial and Applied Mathematics (SIAM), the Institute for Operations Research and the Management Sciences (INFORMS), the Japanese Society for Instrument and Control Engineers (SICE), and the European Union Control Association (EUCA).


2019 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 2019, the 26th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)

2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC2019) will be held in the south of Europe in Bari, one of the most beautiful and historical cities in Italy. The Bari region’s nickname is “Little California” for its nice weather and Bari's cuisine is one of Italian most traditional , based of local seafood and olive oil. SMC2019 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report up-to-the-minute innovations and developments, summarize state­of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems and cybernetics. Advances have importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience, and thereby improve quality of life.


2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.

  • 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conferenceand 27co-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students,academics and industry.

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    computer, vision, pattern, cvpr, machine, learning

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. Main conference plus 50 workshop only attendees and approximately 50 exhibitors and volunteers.

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Topics of interest include all aspects of computer vision and pattern recognition including motion and tracking,stereo, object recognition, object detection, color detection plus many more

  • 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Sensors Early and Biologically-Biologically-inspired Vision, Color and Texture, Segmentation and Grouping, Computational Photography and Video

  • 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics, motion analysis and physics-based vision.

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics,motion analysis and physics-based vision.

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)


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Periodicals related to Dynamic programming

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


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.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


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 ...


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Most published Xplore authors for Dynamic programming

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Xplore Articles related to Dynamic programming

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The Dynamic Programming Approach to the Optimal Control of Goursat-Darboux Systems

1989 American Control Conference, 1989

We extend the dynamic programming method to certain systems parametrized by two-dimensional time. Using dynamic programming arguments, we obtain a maximum principle analogous to the classical principle of Pontryagin.


An 8Kb content-addressable and reentrant memory

1985 IEEE International Solid-State Circuits Conference. Digest of Technical Papers, 1985

A30μ × 36μmemory cell implemented in 2μ CMOS affording a 100ns cycle time will be described.


Heterogeneous beliefs, trading volume, and seemingly emotional stock market behavior

Tsinghua Science and Technology, 2007

Various information types and rational learning methods have shown that heterogeneous belief changes in a rational expectation model can explain many empirical findings in stock markets, such as momentum, contrarians, and technical trading. The methods have also shown that momentum and price movements can coexist in an asset market with only rational agents. The purpose of this paper is to ...


An expert system with fuzzy sets for optimal planning

IEEE Power Engineering Review, 1991

None


On the hybrid dynamic programming principle

International Multi Topic Conference, 2002. Abstracts. INMIC 2002., 2002

Summary form only given, as follows. A Class of the hybrid optimal problem is formulated and a hybrid dynamic programming principle (DPP) is presented which constitutes a generalization of the celebrated dynamic programming principle of Richard Bellman. It is shown that similarly to the case of continuous dynamic programming, which leads to the well-known Hamilton-Jacobi-Bellman (HJB) functional partial differential equation, ...


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Educational Resources on Dynamic programming

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IEEE-USA E-Books

  • The Dynamic Programming Approach to the Optimal Control of Goursat-Darboux Systems

    We extend the dynamic programming method to certain systems parametrized by two-dimensional time. Using dynamic programming arguments, we obtain a maximum principle analogous to the classical principle of Pontryagin.

  • An 8Kb content-addressable and reentrant memory

    A30μ × 36μmemory cell implemented in 2μ CMOS affording a 100ns cycle time will be described.

  • Heterogeneous beliefs, trading volume, and seemingly emotional stock market behavior

    Various information types and rational learning methods have shown that heterogeneous belief changes in a rational expectation model can explain many empirical findings in stock markets, such as momentum, contrarians, and technical trading. The methods have also shown that momentum and price movements can coexist in an asset market with only rational agents. The purpose of this paper is to provide a rational economic theory to explain these phenomena. Results of a dynamic programming model with heterogeneous beliefs show that the dynamic interactions between information diffusion and belief changes create continuation and reversals. The duration and magnitude of momentum and price movements are associated with trading volume. Therefore, rational investors should incorporate price and volume information in their trading decisions.

  • An expert system with fuzzy sets for optimal planning

    None

  • On the hybrid dynamic programming principle

    Summary form only given, as follows. A Class of the hybrid optimal problem is formulated and a hybrid dynamic programming principle (DPP) is presented which constitutes a generalization of the celebrated dynamic programming principle of Richard Bellman. It is shown that similarly to the case of continuous dynamic programming, which leads to the well-known Hamilton-Jacobi-Bellman (HJB) functional partial differential equation, the hybrid dynamic programming principle (HDPPP) leads to a hybrid HJB equation.

  • A differential dynamic programming method with an abrupt penalty integrand for solving tolerance problems

    A non-linear optimal control problem is considered in respect to a new class of performance index. The problem is to control an output function to be inside a prescribed tolerance zone. When inside the zone, this will result in a favourable cost contribution. When outside there will be no contribution. The numerical optimization algorithm used is a modified differential dynamic programming method. The method is expanded to this class of cost functionals. An example illustrates the difference in using the new cost functional and two other commonly used cost functionals.

  • A method of rate control of wavelet picture coding using dynamic programming

    The JPEG2000 method [ISO/IEC FCD15444-1, July 2002] [D. S. Taubman, July 2000], applied to compress still images or moving pictures frame-by-frame, performs bitplane arithmetic entropy coding on each coefficient block of the wavelet transform of the source images. The rate control problem is considered as a combinatorial optimization problem (the resource allocation problem) to decide the truncation bitplane level of each code block, which minimizes the summation of the quantization error over the whole image according to the total bitrate available for the compressed image. In this paper, a new method is proposed to decide the truncation bitplanes using a dynamic programming scheme. The algorithm and an experimental result are also reported.

  • A deformable model for image segmentation in noisy medical images

    Deformable-model-based segmentation techniques can overcome some limitations of the traditional image processing techniques. Currently developed deformable models can cope with gaps and another irregularities in object boundaries. However, they present problems in noisy images. Our approach is able to segment objects in noisy images by defining a new energy function associated with image noise and avoiding the tendency of contour points to bunch up. The model is validated for vessel segmentation on mammograms.

  • Differential Scoring for Systolic Sequence Alignment

    Systolic implementations of dynamic programming solutions that utilize a similarity matrix can achieve appreciable performance with both course-and fine-grain parallelization. A limitation of systolic array design is that score routing between array elements, array I/O bandwidth, and score memory capacity are dependent upon the length of the sequence that can be processed. A novel approach of differential scoring is presented that exploits adjacency and decouples the complexity of score routing and systolic array bandwidth to sequence length. Instead, these design parameters become a function of algorithm sensitivity. As a consequence, the Simile implementation of differential scoring for sequence alignment has reduced score routing, I/O bandwidth, and score storage by 82% for sequences of length 10 and has significantly improved gate count, clock rate, and power utilization per systolic processing element.

  • Trinocular Cooperative Stereo Vision and Occlusion Detection

    In this paper, we present a cooperative stereo vision algorithm with three cameras for dense disparity mapping and occlusion detection. Based on nonlinear iteration and multiple cameras, the disparity maps are smooth and the object boundaries are accurate. Occlusions for each stereo pair are detected effectively by examining the iterative inhibition and magnification of the matching evaluation.



Standards related to Dynamic programming

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(Replaced) IEEE Standard VHDL Language Reference Manual

his standard revises and enhances the VHDL language reference manual (LRM) by including a standard C language interface specification; specifications from previously separate, but related, standards IEEE Std 1164 -1993,1 IEEE Std 1076.2 -1996, and IEEE Std 1076.3-1997; and general language enhancements in the areas of design and verification of electronic systems.



Jobs related to Dynamic programming

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