Search Results - (pattern OR patterns) recognition, (automated OR automatic) methods

Automatic Diatom Identification. by Du Buf, Hans

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Pattern recognition : introduction, features, classifiers and principles by Beyerer, Jürgen, Richter, Matthias, 1948-, Nagel, Matthias (Computer scientist)

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Pattern recognition : practices, perspectives, and challenges

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Hybrid methods in pattern recognition

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Rough-Fuzzy Pattern Recognition : Applications in Bioinformatics and Medical Imaging. by Maji, Pradipta

Subjects: “…Pattern Recognition, Automated methods…”
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A Beginner's guide to image shape feature extraction techniques by Chaki, Jyotismita

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Tracking with particle filter for high-dimensional observation and state spaces by Dubuisson, Séverine

Subjects: “…Pattern Recognition, Automated…”
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Pattern recognition technologies : getting the picture.

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Machine interpretation of patterns : image analysis and data mining

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Pattern Recognition in Computational Molecular Biology : Techniques and Approaches by Elloumi, Mourad, Iliopoulos, Costas, Wang, Jason T. L., Zomaya, Albert Y.

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Entity information life cycle for big data : master data management and information integration by Talburt, John R., Zhou, Yinle, 1986-

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Emotion recognition : a pattern analysis approach by Konar, Amit

Table of Contents: “…Title Page -- Copyright -- Dedication -- Preface -- Acknowledgments -- Contributors -- Chapter 1: Introduction to Emotion Recognition -- 1.1 Basics of Pattern Recognition -- 1.2 Emotion Detection as a Pattern Recognition Problem -- 1.3 Feature Extraction -- 1.4 Feature Reduction Techniques -- 1.5 Emotion Classification -- 1.6 Multimodal Emotion Recognition -- 1.7 Stimulus Generation for Emotion Arousal -- 1.8 Validation Techniques -- 1.9 Summary -- References -- Author Biographies…”
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Bridging the gap between graph edit distance and kernel machines by Neuhaus, Michel

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Pattern discovery in biomolecular data : tools, techniques, and applications

Subjects: “…Pattern Recognition, Automated…”
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An elementary introduction to statistical learning theory by Kulkarni, Sanjeev

Subjects: “…Pattern Recognition, Automated…”
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Atlas of diffuse lung diseases : a multidisciplinary approach

Subjects: “…Pattern Recognition, Automated…”
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Background modeling and foreground detection for video surveillance

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Biomedical image understanding : methods and applications

Subjects: “…Pattern Recognition, Automated methods…”
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Moments and moment invariants in pattern recognition by Flusser, Jan

Table of Contents: “…-- 1.3.1 Geometric and complex moments -- 1.3.2 Orthogonal moments -- 1.4 Outline of the book -- References -- 2 Moment invariants to translation, rotation and scaling -- 2.1 Introduction -- 2.1.1 Invariants to translation -- 2.1.2 Invariants to uniform scaling -- 2.1.3 Traditional invariants to rotation -- 2.2 Rotation invariants from complex moments -- 2.2.1 Construction of rotation invariants -- 2.2.2 Construction of the basis -- 2.2.3 Basis of invariants of the second and third orders -- 2.2.4 Relationship to the Hu invariants -- 2.3 Pseudoinvariants -- 2.4 Combined invariants to TRS and contrast changes -- 2.5 Rotation invariants for recognition of symmetric objects -- 2.5.1 Logo recognition -- 2.5.2 Recognition of simple shapes -- 2.5.3 Experiment with a baby toy -- 2.6 Rotation invariants via image normalization -- 2.7 Invariants to nonuniform scaling -- 2.8 TRS invariants in 3D -- 2.9 Conclusion -- References -- 3 Affine moment invariants -- 3.1 Introduction -- 3.1.1 Projective imaging of a 3D world -- 3.1.2 Projective moment invariants -- 3.1.3 Affine transformation -- 3.1.4 AMIs -- 3.2 AMIs derived from the Fundamental theorem -- 3.3 AMIs generated by graphs -- 3.3.1 The basic concept -- 3.3.2 Representing the invariants by graphs -- 3.3.3 Independence of the AMIs -- 3.3.4 The AMIs and tensors -- 3.3.5 Robustness of the AMIs -- 3.4 AMIs via image normalization -- 3.4.1 Decomposition of the affine transform -- 3.4.2 Violation of stability -- 3.4.3 Relation between the normalized moments and the AMIs -- 3.4.4 Affine invariants via half normalization -- 3.4.5 Affine invariants from complex moments -- 3.5 Derivation of the AMIs from the CayleyAronhold equation -- 3.5.1 Manual solution -- 3.5.2 Automatic solution -- 3.6 Numerical experiments -- 3.6.1 Digit recognition -- 3.6.2 Recognition of symmetric patterns -- 3.6.3 The childrens mosaic -- 3.7 Affine invariants of color images -- 3.8 Generalization to three dimensions -- 3.8.1 Method of geometric primitives -- 3.8.2 Normalized moments in 3D -- 3.8.3 Half normalization in 3D -- 3.8.4 Direct solution of the CayleyAronhold equation -- 3.9 Conclusion -- Appendix -- References -- 4 Implicit invariants to elastic transformations -- 4.1 Introduction -- 4.2 General moments under a polynomial transform -- 4.3 Explicit and implicit invariants -- 4.4 Implicit invariants as a minimization task -- 4.5 Numerical experiments -- 4.5.1 Invariance and robustness test -- 4.5.2 ALOI classification experiment -- 4.5.3 Character recognition on a bottle -- 4.6 Conclusion -- References -- 5 Invariants to convolution -- 5.1 Introduction -- 5.2 Blur invariants for centrosymmetric PSFs -- 5.2.1 Template matching experiment -- 5.2.2 Invariants to linear motion blur -- 5.2.3 Extension to n dimensions -- 5.2.4 Possible applications and limitations -- 5.3 Blur invariants for N-fold symmetric PSFs -- 5.3.1 Blur invariants for circularly symmetric PSFs -- 5.3.2 Blur invariants for Gaussian PSFs -- 5.4 Combined invariants -- 5.4.1 Combined i.…”
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Handbook on soft computing for video surveillance

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