|Statement||editors, K.S. Fu, Tadao Ichikawa.|
|Contributions||Fu, K. S. 1930-, Ichikawa, Tadao.|
|LC Classifications||TK7882.P3 S67 1982|
|The Physical Object|
|Pagination||264 p. :|
|Number of Pages||264|
|LC Control Number||81001633|
COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus. Get this from a library! Special computer architectures for pattern processing. [K S Fu; Tadao Ichikawa;] -- It has been recognized for a long time that a conventional sequential processor is inefficient for operations on pictorial data where relatively simple operations need to be performed on a large. Feb. Computer Architecture, Advanced Architectures Slide 18 Special-Purpose Hardware Accelerators Figure General structure of a processor with configurable hardware accelerators. CPU Configuration memory Accel. 1 Accel. 2 Accel. 3 Data and program memory FPGA-like unit on which accelerators can be formed via loading of. Part of the The Springer International Series in Engineering and Computer Science book series (SECS in Special Computer Architectures for Pattern Processing (K.S. Fu, T. Ichikawa, eds.), CRC Press, Boca Raton, Bayoumi M.A. (eds) VLSI Design Methodologies for Digital Signal Processing Architectures. The Springer International.
Wah B and Li G () Survey on special purpose computer architectures for AI, ACM SIGART Bulletin, (), Online publication date: 1-Apr Dubois M, Scheurich C and Briggs F () Memory access buffering in multiprocessors, ACM SIGARCH Computer Architecture News, , (), Online publication date: 1-May An introduction to computer vision and associated digital processing functions. Reviews all aspects of image processing, pattern recognition, geometric optics, and artificial intelligence that are important to solving computer vision problems. Also provides an introduction to digital image acquisition and display, hardware, and : Robert J. Schalkoff. Two factors continue to drive the increasing use of modern parallel computer architectures to address problems in computational biology and bioinformatics: high-throughput techniques for DNA sequencing and gene expression analysis—which have led to an exponential growth in the amount of digital biological data—and the multi- and many-core. An introduction to computer vision and associated digital processing functions. Reviews all aspects of image processing, pattern recognition, geometric optics, and artificial intelligence that are important to solving computer vision problems. Also provides an introduction to digital image acquisition and display, hardware, and techniques.
The resulting commercialized RISC architectures included IBM POWER (based on the ), Sun significantly impacted the overall performance for these operations. making subroutine calls to special primitive instructions to perform these functions would have perform independent floating-point operations every cycle); and the overhead associated with. An architectural pattern is a general, reusable solution to a commonly occurring problem in software architecture within a given context. Architectural patterns are similar to software design pattern but have a broader scope. Peripherals connected to a bus in a computer system (master and slave drives). Each processing step is enclosed. Image analysis refers to the use of digital computers for Pattern Recognition and Image Processing (PRIP). On-line imagery data needs to be stored on disks and quickly retrieved for PRIP applications. This article presents a systematic approach to developing a special-purpose computer for processing pictorial information. Discusses special computer architectures for computer vision, new neural network applications, edge detection strategies, and segmentation. Sales Rank: # in Books Published on: