Conferences related to Binary trees

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2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting

The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science


IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

All fields of satellite, airborne and ground remote sensing.


IEEE INFOCOM 2020 - IEEE Conference on Computer Communications

IEEE INFOCOM solicits research papers describing significant and innovative researchcontributions to the field of computer and data communication networks. We invite submissionson a wide range of research topics, spanning both theoretical and systems research.


GLOBECOM 2020 - 2020 IEEE Global Communications Conference

IEEE Global Communications Conference (GLOBECOM) is one of the IEEE Communications Society’s two flagship conferences dedicated to driving innovation in nearly every aspect of communications. Each year, more than 2,900 scientific researchers and their management submit proposals for program sessions to be held at the annual conference. After extensive peer review, the best of the proposals are selected for the conference program, which includes technical papers, tutorials, workshops and industry sessions designed specifically to advance technologies, systems and infrastructure that are continuing to reshape the world and provide all users with access to an unprecedented spectrum of high-speed, seamless and cost-effective global telecommunications services.


2020 Joint Conference of the IEEE International Frequency Control Symposium and International Symposium on Applications of Ferroelectrics (IFCS-ISAF)

Ferroelectric materials and applications



Periodicals related to Binary trees

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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


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.


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


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.



Most published Xplore authors for Binary trees

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Xplore Articles related to Binary trees

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Regular Networks

Network Science: Theory and Applications, None

This chapter contains sections titled:Diameter, Centrality, and Average Path LengthBinary Tree NetworkToroidal NetworkHypercube NetworksExercises


Sessions: vector quantisation

1988 IEEE International Symposium on Information Theory., 1988

The following topics are dealt with: entropy-constrained vector quantisation; vector source bit allocation; noisy channels; hyperplane testing; optimal binary codeword assignment; speech and image coding; and asymptotically optimal Voronoi structure.<<ETX>>


Tree-structured method for improved LUT inverse halftoning

2000 10th European Signal Processing Conference, 2000

Recently we have proposed a Look Up Table (LUT) based method for inverse halftoning of images. The LUT for inverse halftoning is obtained from the histogram gathered from a few sample halftone images and corresponding original images. The method is extremely fast (no filtering is required) and the image quality achieved is comparable to the best methods known for inverse ...


An algorithm for designing a pattern classifier by using MDL criterion

Proceedings of 1995 IEEE International Symposium on Information Theory, 1995

The algorithm for designing a pattern classifier, which uses MDL criterion and a binary data structure, is proposed. The algorithm gives a partitioning of the space of the K-dimensional attribute and gives an estimated probability model for this partitioning. The volume of bins in this partitioning is asymptotically upper bounded by /spl Oscr/((log N/N)/sup K/(K+2/)/sup )/ for large N in ...


On graph isomorphism determining problem

2008 International Conference on Perspective Technologies and Methods in MEMS Design, 2008

The problems of determining the graph isomorphism on the base of optimal reduction tree is considered.



Educational Resources on Binary trees

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IEEE-USA E-Books

  • Regular Networks

    This chapter contains sections titled:Diameter, Centrality, and Average Path LengthBinary Tree NetworkToroidal NetworkHypercube NetworksExercises

  • Sessions: vector quantisation

    The following topics are dealt with: entropy-constrained vector quantisation; vector source bit allocation; noisy channels; hyperplane testing; optimal binary codeword assignment; speech and image coding; and asymptotically optimal Voronoi structure.<<ETX>>

  • Tree-structured method for improved LUT inverse halftoning

    Recently we have proposed a Look Up Table (LUT) based method for inverse halftoning of images. The LUT for inverse halftoning is obtained from the histogram gathered from a few sample halftone images and corresponding original images. The method is extremely fast (no filtering is required) and the image quality achieved is comparable to the best methods known for inverse halftoning. The size of the LUT can become bigger even though most of the elements in the table are not used in practice. We propose a tree structure which will reduce the storage requirements of an LUT by avoiding nonexistent patterns. Tree-structure inverse halftoning will need only a fraction of its LUT equivalent for storage. We demonstrate the performance on error diffused images.

  • An algorithm for designing a pattern classifier by using MDL criterion

    The algorithm for designing a pattern classifier, which uses MDL criterion and a binary data structure, is proposed. The algorithm gives a partitioning of the space of the K-dimensional attribute and gives an estimated probability model for this partitioning. The volume of bins in this partitioning is asymptotically upper bounded by /spl Oscr/((log N/N)/sup K/(K+2/)/sup )/ for large N in probability, where N is the length of training sequence. The redundancy of the code length and the divergence of the estimated model are asymptotically upper bounded by /spl Oscr/(K(log N/N)/sup 2/(K+2/)/sup )/. The classification error is asymptotically upper bounded by /spl Oscr/(K/sup 1/2/(log N/N)/sup 1/(K+2/)/sup )/.

  • On graph isomorphism determining problem

    The problems of determining the graph isomorphism on the base of optimal reduction tree is considered.

  • Optimizations of Flow-based Behavior Recognition System within Hi-speed Network

    Since the endless new networking applications and security issues, it's urgent for governments, corporations and ISPs to identify, classify and control the network flows. Comparing with DPI technologies, flow-based behavior recognition has advantages of continuity and extensibility, but has the problems of scalability, efficiency and coordination which greatly restrict its implementation in high-speed core network. Base on related research and experiments, this paper presents optimizations to improve the performance of time and space of flow-based behavior recognition.

  • ESEU-a hardware architecture for fast image generation

    A special-purpose hardware architecture architecture called the expandable shading engine unit (ESEU) for fast image generation and its corresponding graphics system configuration are described. Each ESEU has three major functional blocks: linear interpolator, multipliers, and edge painting tree. The linear interpolator with a coupled binary tree architecture interpolates the functional values of two end points which are view-depth values or color intensities. Two multipliers compute the input values of the interpolator in parallel. A mask pattern for the removal of data outside the given span is generated by the edge painting tree. This prototype ESEU is designed to process the data for 64 pixels. Estimated performance is about 570 K scanline- commands/s. Since there are no interconnections among ESEUs, system can be easily expanded. The bit-serial operation of ESEU guarantees the feasibility of its VLSI implementation at a reasonable cost.<<ETX>>

  • Message scheduling on trees under a generalized line-communication model

    In this paper, we generalize the line-communication model by relaxing the notion of conflictness between paths. We show that the problem of finding optimal schedules to route any set of messages under both our generalized line-communication model and the bufferless routing model is NP-hard even if restricted to binary trees. Finally, a simple offline 2-approximation algorithm for our model on trees is presented.

  • Low complexity concatenated two-state TCM schemes with near capacity performance

    This paper presents a family of low complexity concatenated two-state trellis- coded modulation (CT-TCM) schemes. A joint design strategy of all component codes is established. This leads to the so-called "asymmetrical and time- varying" structures. Compared with the existing turbo TCM codes, the proposed CT-TCM schemes have significantly reduced decoding complexity and demonstrate comparable or even better performance.

  • Latency Analyses of CC-NUMA and CC-COMA Rings

    This paper focuses comparative performance modeling and evaluation of CC-NUMA and CC-COMA on a hierarchical ring shared-memory architecture. Intensive performance measurements of the two models have been conducted on the KSR-1. The experimental results support the analytical models, and present practical observations and comparisons of the two cache coherence memory systems. Our analytical and experimental results show that a CC-COMA system balances the work load well. However the overhead of frequent data movement may match the gains obtained from improving load balance. Although a CC-NUMA system may not automatically balance the load at the system level, it provides an option for a user to explicitly handle data locality for a possible performance improvement.



Standards related to Binary trees

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No standards are currently tagged "Binary trees"