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Abstract This book provides the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book...

Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecular biology, pattern recognition, and data mining, can be represented in terms of gr...

Fachgebiete / Stichwörter: theoretical aspects of computer science, pattern recognition and processing, knowledge engineering, distributed and grid systems, simulation, multimedia systems and computer graphics; Science: Mathematics: Instruments an...

An automated method for segmenting magnetic resonance head images into brain and non-brain has been developed. It is very robust and accurate and has been tested on thousands of data sets from a wide variety of scanners ...

We have developed a real-time algorithm for detection of the QRS complexes of ECG signals. It reliably recognizes QRS complexes based upon digital analyses of slope, amplitude, and width. A special digital bandpass filte...

Fachgebiete / Stichwörter: computer vision, medical imaging, image and video processing, video segmentation and analysis, computer graphics and visualization, pattern recognition; Technology: Electrical engineering. Electronics. Nuclear engineerin...

Fachgebiete / Stichwörter: parallel and distributed processing, computer networking, machine learning, software engineering internet of thing (iot), pattern recognition, image processing; Science: Mathematics: Instruments and machines: Electronic ...

Fachgebiete / Stichwörter: image and signal processing, artificial intelligence, biomedical applications, computer science applications, pattern recognition, engineering; Technology: Chemical technology: Biotechnology; Medicine: Medicine (General)...

Fachgebiete / Stichwörter: artificial intelligence, data analytics, decission support system, data mining, mobile and web technology, image processing and pattern recognition; Technology: Technology (General): Industrial engineering. Management en...

Fachgebiete / Stichwörter: information technology, design automation, simulation, signal processing, pattern recognition, parallel computing; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Fachgebiete / Stichwörter: software, artificial intelligence, computer hardware, pattern recognition, computer networks, computer processing; Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. ...

Fachgebiete / Stichwörter: image processing, image fusion and compression, pattern recognition, radar and sonar imaging, environmental monitoring; Technology: Photography; Medicine: Medicine (General): Computer applications to medicine. Medical in...

Bilateral filtering smooths images while preserving edges, by means of a nonlinear combination of nearby image values. The method is noniterative, local, and simple. It combines gray levels or colors based on both their ...

In this paper a theory of two-dimensional moment invariants for planar geometric figures is presented. A fundamental theorem is established to relate such moment invariants to the well-known algebraic invariants. Complet...

Fachgebiete / Stichwörter: Computer science; Preprocessor; Human Connectome Project; Pipeline transport; Artifact (error); Data pre-processing; Connectome; Distortion (music); Artificial intelligence; Data mining; Computer vision; Pattern recognit...

Most current speech recognition systems use hidden Markov models (HMMs) to deal with the temporal variability of speech and Gaussian mixture models (GMMs) to determine how well each state of each HMM fits a frame or a sh...

In this survey we review the image processing literature on the various approaches and models investigators have used for texture. These include statistical approaches of autocorrelation function, optical transforms, dig...

Existing deep convolutional neural networks (CNNs) require a fixed-size (e.g., 224 × 224) input image. This requirement is "artificial" and may reduce the recognition accuracy for the images or sub-images of an arbitrar...

The authors introduce an algorithm, called matching pursuit, that decomposes any signal into a linear expansion of waveforms that are selected from a redundant dictionary of functions. These waveforms are chosen in order...

Receiver operating characteristic (ROC) curves are used to describe and compare the performance of diagnostic technology and diagnostic algorithms. This paper refines the statistical comparison of the areas under two ROC...

Profile hidden Markov models (profile HMMs) and probabilistic inference methods have made important contributions to the theory of sequence database homology search. However, practical use of profile HMM methods has been...

This paper presents a method for recognizing scene categories based on approximate global geometric correspondence. This technique works by partitioning the image into increasingly fine sub-regions and computing histogra...

The discriminative model learning for image denoising has been recently attracting considerable attentions due to its favorable denoising performance. In this paper, we take one step forward by investigating the construc...

The metric and dimensional assumptions that underlie the geometric representation of similarity are questioned on both theoretical and empirical grounds. A new set-theoretical approach to similarity is developed in which...