Evolutionary Synthesis of Pattern Recognition Systems

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Evolutionary Synthesis of Pattern Recognition Systems

Bhanu, Bir. - Nama Orang; SpringerLink (Online service) - Nama Orang; Lin, Yingqiang. - Nama Orang; Krawiec, Krzysztof. - Nama Orang;

Feature Synthesis for Object Detection -- Mdl-Based Efficient Genetic Programming for Object Detection -- Feature Selection for Object Detection -- Evolutionary Feature Synthesis for Object Recognition -- Linear Genetic Programming for Object Recognition -- Applications of Linear Genetic Programming for Object Recognition -- Summary and Future Work.Designing object detection and recognition systems that work in the real world is a challenging task due to various factors including the high complexity of the systems, the dynamically changing environment of the real world and factors such as occlusion, clutter, articulation, and various noise contributions that make the extraction of reliable features quite difficult. Evolutionary Synthesis of Pattern Recognition Systems presents novel effective approaches based on evolutionary computational techniques, such as genetic programming (GP), linear genetic programming (LGP), coevolutionary genetic programming (CGP) and genetic algorithms (GA) to automate the synthesis and analysis of object detection and recognition systems. The book’s concepts, principles, and methodologies will enable readers to automatically build robust and flexible systems—in a systematic manner—that can provide human-competitive performance and reduce the cost of designing and maintaining these systems. Its content covers all key aspects of object recognition: object detection, feature selection, feature discovery, object recognition, domain knowledge. Basic knowledge of programming and data structures, and some calculus, is presupposed. Topics and Features: *Presents integrated coverage of object detection/recognition systems *Describes how new system features can be generated "on the fly," and how systems can be made flexible and applied to a variety of objects and images *Demonstrates how object detection and recognition systems can be automatically designed and maintained in a relatively inexpensive way *Explains automatic synthesis and creation of programs (which saves valuable human and economic resources) *Focuses on results using real-world imagery, thereby concretizing the book’s novel ideas This accessible monograph provides the computational foundation for evolutionary synthesis involving pattern recognition and is an ideal overview of the latest concepts and technologies. Computer scientists, researchers, and electrical and computer engineers will find the book a comprehensive resource, and it can serve equally well as a text/reference for advanced students and professional self-study.

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Judul Seri: -
No. Panggil: -
Penerbit: : .,
Deskripsi Fisik: XXIV, 296 p. 95 illus.online resource.
Bahasa: English
ISBN/ISSN: 9780387244525
Klasifikasi: 006.4
Tipe Isi: -
Tipe Media: -
Tipe Pembawa: -
Edisi: 1st ed. 2005.
Subjek: COMPUTERS.
Artificial intelligence.
Optical data processing.
Image Processing and Computer Vision.
Pattern recognition.
Computation by Abstract Devices.
Computer Imaging, Vision, Pattern Recognition and Graphics.
User interfaces (Computer systems).
User Interfaces and Human Computer Interaction.
Info Detail Spesifik: -
Pernyataan Tanggungjawab: by Bir Bhanu, Yingqiang Lin, Krzysztof Krawiec.

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