模式识别：第28届DA*** 专题会议/会议录/Pattern recognition pdf 夸克云 tct umd 下载 2025 azw3 kindle

This book provides a solid statistical foundation for neural networks from a pattern recognition perspective. The focus is on the types of neural nets that are most widely used in practical applicati***, such as the multi-layer perceptron and radial basis function networks. Rather than trying to cover many different types of neural networks, Bishop thoroughly covers topics such as density estimation, error functi***, parameter optimization algorithms, data pre-processing, and Bayesian methods. All topics are ***anized well and all mathematical foundati*** are explained before being applied to neural networks. The text is suitable for a graduate or advanced undergraduate level course on neural networks or for practitioners interested in applying neural networks to real-world problems. The reader is assumed to have the level of math knowledge necessary for an undergraduate science degree.

Image Filtering, Restoration and Segmentation

Ultrasound Image Denoising by Spatially Varying Frequency Compounding

Exploiting Low-Level Image Segmentation for Object Recognition

Wavelet Based Noise Reduction by Identification of Correlati***

Template Based Gibbs Probability Distributi*** for Texture Modeling and Segmentation

Etficient Combination of Probabilistic Sampling Approximati*** for Robust hnage Segmentation

I)iffusion-Like Rec***truction Schemes fi'om Linear Data Models

Reduction of Ring Artifacts in High Resolution X-Ray Microtomography hnages

A Probabilistic Multi-phase Model for Variational hnage Segmentation

Provably Correct Edgel Linking and Subpixel Boundary Rec***truction

The Edge Preserving Wiener Filter for Scalar and Tensor Valued Images

From Adaptive Averaging to Accelerated Nonlinear Diffusion Filtering

Introducing Dynamic Prior Knowledge to Partially-Blurred Image Restoration

Shape Analysis and Representation

On-Line, Incremental Learning of a Robust Active Shape Model

Using Irreducible Group Representati*** for Invariant 3I) Shape Description

Shape Matching by Variational Computation of Geodesics on a Manitbld

A Modification of the Level Set Speed Function to Bridge Gaps in Data

Generation and Initialization of Stable 3D Mass-Spring Models for the Segmentation of the Thyroid Cartilage

Preserving Topological Information in the Windowed Hough Transform for Rectangle Extraction

Recognition, Categorization and Detection

Fast Scalar and Vectorial Grayscale Based Invariant Features tbr 3D Cell Nuclei Localization and Classification

……

Computer Vision and Lmage Retrievel

Anuthor Index

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The LNCS series reports state-of-the-art results in computer science research,development,and education,at a high level and in both printed and electronic form.Enjoying tight cooperation with the R&D community,with numerous individuals,as well as with prestigious ***anizati*** and societies,LNCS has grown into the most comprehensive computer science resarch forum available.

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