Image Processing Jump Regression by Qiu Peihua (22 results)

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Condition: New. pp. xxiii + 305 Index.

Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condition: New. pp. xxiii + 305 Illus.

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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New. In English.

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Hardback. Condition: New. New copy - Usually dispatched within 4 working days.

Hardback. Condition: New. The first text to bridge the gap between image processing and jump regression analysis Recent statistical tools developed to estimate jump curves and surfaces have broad applications, specifically in the area of image processing. Often, significant differences in technical terminologies make communication between the disciplines of image processing and jump regression analysis difficult. In easy-to-understand language, Image Processing and Jump Regression Analysis builds a bridge between the worlds of computer graphics and statistics by addressing both the connections and the differences between these two disciplines. The author provides a systematic analysis of the methodology behind nonparametric jump regression analysis by outlining procedures that are easy to use, simple to compute, and have proven statistical theory behind them. Key topics include: Conventional smoothing proceduresEstimation of jump regression curvesEstimation of jump location curves of regression surfacesJump-preserving surface reconstruction based on local smoothingEdge detection in image processingEdge-preserving image restoration With mathematical proofs kept to a minimum, this book is uniquely accessible to a broad readership. It may be used as a primary text in nonparametric regression analysis and image processing as well as a reference guide for academicians and industry professionals focused on image processing or curve/surface estimation.…

Condition: New. Addresses connections and differences between jump regression analysis and image processing, with the goal of establishing better communication among research groups in the two areas of statistics. This book discusses procedures that are easy to use, simple to compute, and have proven statistical theory behind them. Series: Wiley Series in Probability and Statistics. Num Pages: 344 pages, Illustrations. BIC Classification: PB; TJ. Category: (P) Professional & Vocational. Dimension: 240 x 163 x 21. Weight in Grams: 608. . 2005. 1st Edition. Hardcover. . . . .…

Hardcover. Condition: Brand New. 1st edition. 344 pages. 9.50x6.25x0.50 inches. In Stock.

Condition: New. Addresses connections and differences between jump regression analysis and image processing, with the goal of establishing better communication among research groups in the two areas of statistics. This book discusses procedures that are easy to use, simple to compute, and have proven statistical theory behind them. Series: Wiley Series in Probability and Statistics. Num Pages: 344 pages, Illustrations. BIC Classification: PB; TJ. Category: (P) Professional & Vocational. Dimension: 240 x 163 x 21. Weight in Grams: 608. . 2005. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Hardback. Condition: New. The first text to bridge the gap between image processing and jump regression analysis Recent statistical tools developed to estimate jump curves and surfaces have broad applications, specifically in the area of image processing. Often, significant differences in technical terminologies make communication between the disciplines of image processing and jump regression analysis difficult. In easy-to-understand language, Image Processing and Jump Regression Analysis builds a bridge between the worlds of computer graphics and statistics by addressing both the connections and the differences between these two disciplines. The author provides a systematic analysis of the methodology behind nonparametric jump regression analysis by outlining procedures that are easy to use, simple to compute, and have proven statistical theory behind them. Key topics include: Conventional smoothing proceduresEstimation of jump regression curvesEstimation of jump location curves of regression surfacesJump-preserving surface reconstruction based on local smoothingEdge detection in image processingEdge-preserving image restoration With mathematical proofs kept to a minimum, this book is uniquely accessible to a broad readership. It may be used as a primary text in nonparametric regression analysis and image processing as well as a reference guide for academicians and industry professionals focused on image processing or curve/surface estimation.…

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Hardcover. Condition: new. Hardcover. The first text to bridge the gap between image processing and jump regression analysis Recent statistical tools developed to estimate jump curves and surfaces have broad applications, specifically in the area of image processing. Often, significant differences in technical terminologies make communication between the disciplines of image processing and jump regression analysis difficult. In easy-to-understand language, Image Processing and Jump Regression Analysis builds a bridge between the worlds of computer graphics and statistics by addressing both the connections and the differences between these two disciplines. The author provides a systematic analysis of the methodology behind nonparametric jump regression analysis by outlining procedures that are easy to use, simple to compute, and have proven statistical theory behind them. Key topics include: Conventional smoothing proceduresEstimation of jump regression curvesEstimation of jump location curves of regression surfacesJump-preserving surface reconstruction based on local smoothingEdge detection in image processingEdge-preserving image restoration With mathematical proofs kept to a minimum, this book is uniquely accessible to a broad readership. It may be used as a primary text in nonparametric regression analysis and image processing as well as a reference guide for academicians and industry professionals focused on image processing or curve/surface estimation. Addresses connections and differences between jump regression analysis and image processing, with the goal of establishing better communication among research groups in the two areas of statistics. This book discusses procedures that are easy to use, simple to compute, and have proven statistical theory behind them. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condition: Brand New. 1st edition. 344 pages. 9.50x6.25x0.50 inches. In Stock. This item is printed on demand.

Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 638.

Condition: New. PRINT ON DEMAND pp. xxiii + 305.