Electro-optical imaging system performance / by Holst, Gerald C., SPIE Digital Library

Table of Contents: “…Additional metrics -- Section 6: Acquisition range: 19. Target discrimination; 20. Range predictions; 21. Trade studies -- Appendix: Focal ratio; References -- Index.…”
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Computer vision-- ECCV 2012 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings. by European Conference on Computer Vision Florence, Italy, SpringerLink (Online service)

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Multiscale signal analysis and modeling by SpringerLink (Online service)

Table of Contents: “…Earth Mover's Distance-Based Local Discriminant Basis /…”
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The new politics of surveillance and visibility / by New Politics of Surveillance and Visibility (Conference) Vancouver, B.C.), PALCI EBSCO books

Table of Contents: “…Data mining, surveillance, and discrimination in the post-9/11 environment /…”
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Real-time progressive hyperspectral image processing : endmember finding and anomaly detection / by Chang, Chein-I, SpringerLink (Online service)

Table of Contents: “…Overview and introduction -- Linear spectral mixture analysis -- Finding endmembers in hyperspectral imagery -- Linear spectral unmixing with three criteria, least squares error, simplex volume and orthogonal projection -- Hyperspectral target detection -- Fully geometric-constrained sequential endmember finding: simplex volume analysis-based N-FINDR -- Partially geometric-constrained sequential endmember finding: convex cone volume analysis -- Geometric-unconstrained sequential endmember finding: orthogonal projection analysis -- Fully abundance-constrained sequential endmember finding: linear spectral mixture analysis -- Fully geometric-constrained progressive endmember finding: growing simplex volume analysis -- Partially geometric-constrained progressive endmember finding: growing convex cone volume analysis -- Geometric-unconstrained progressive endmember finding: orthogonal projection analysis -- Endmember finding algorithms: comparative studies and analyses -- Anomaly detection characterization -- Anomaly discrimination and categorization -- Anomaly detection and background suppression -- Multiple window anomaly detection -- Anomaly detection using causal sliding windows.…”
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The new politics of surveillance and visibility /

Table of Contents: “…Data mining, surveillance, and discrimination in the post-9/11 environment /…”

Radar micro-Doppler signatures : processing and applications / by Chen, Victor C., Tahmoush, David, Miceli, William J., Books24x7, Inc

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Electronic nose technologies and advances in machine olfaction / by IGI InfoSci

Table of Contents: “…Fluorescence quenching sensor arrays for the discrimination of nitroaromatic vapors -- Chapter 5. Correlating electronic nose and field olfactometer for industrial odor concentration measurement using PLS and MLR -- Chapter 6. …”
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Speech and Audio Signal Processing : Processing and Perception of Speech and Music. by Gold, Ben, Morgan, Nelson, Ellis, Dan, Safari Books Online

Table of Contents: “…Introduction -- Synthetic audio : a brief history -- Speech analysis and synthesis overview -- Brief history of automatic speech recognition -- Speech recognition overview -- Digital signal processing -- Digital filters and discrete Fourier transform -- Pattern classification -- Statistical pattern classification -- Wave basics -- Acoustic tube modeling of speech production -- Musical instrument acoustics -- Room acoustics -- Ear physiology -- Psychoacoustics -- Models of pitch perception -- Speech perception -- Human speech recognition -- The auditory system as a filter bank -- The cepstrum as a spectral analyzer -- Linear prediction -- Feature extraction for ASR -- Linguistic categories for speech recognition -- Deterministic sequence recognition for ASR -- Statistical sequence recognition -- Statistical model training -- Discriminant acoustic probability estimation -- Acoustic model training : further topics -- Speech recognition and understanding -- Speech synthesis -- Pitch detection -- Vocoders -- Low-rate vocoders -- Medium rate and high rate vocoders -- Perceptual audio coding -- Some aspects of computer music synthesis -- Music signal analysis -- Music retrieval -- Source separation -- Speech transformations -- Speaker verification -- Speaker diarization.…”
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Person re-identification / by SpringerLink (Online service)

Table of Contents: “…The Re-Identification Challenge -- Part I: Features and Representations -- Discriminative Image Descriptors for Person Re-Identification -- SDALF -- Re-Identification by Covariance Descriptors -- Attributes-Based Re-Identification -- Person Re-Identification by Attribute-Assisted Clothes Appearance -- Person Re-Identification by Articulated Appearance Matching -- One-Shot Person Re-Identification with a Consumer Depth Camera -- Group Association -- Evaluating Feature Importance for Re-Identification -- Part II: Matching and Distance Metric -- Learning Appearance Transfer for Person Re-Identification -- Mahalanobis Distance Learning for Person Re-Identification -- Dictionary-Based Domain Adaptation Methods for the Re-Identification of Faces -- From Re-Identification to Identity Inference -- Re-Identification for Improved People Tracking -- Part III: Evaluation and Application -- Benchmarking for Person Re-Identification -- Person Re-Identification -- People Search with Textual Queries about Clothing Appearance Attributes -- Large Scale Camera Topology Mapping -- Scalable Multi-Camera Tracking in a Metropolis.…”
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ICCCE 2018 : proceedings of the International Conference on Communications and Cyber Physical Engineering 2018 / by International Conference on Communications and Cyber Physical Engineering Hyderabad, India, SpringerLink (Online service)

Table of Contents: “….- Proposal of Linear Specific Functions for R-L-C as Fundamental Elements in Terms of Considered Specific Electric Constants.- A Viewpoint: Discrimination Between 2 Equivalent Statement of Kirchhoff's Current Law from the Ground of Precedenceness.- An DES Based Mechanism to Secure Personal Data on Internet of Things.- Reputation Based Mechanism to Detect Selfish Nodes in DTN.- Improve Target Detection in Doppler Tolerant Radar using Modified Hex Coding Technique.- Enhance Packet Loss Calculation in Wireless Sensor Networks.- Enhance Packet Loss Calculation in Wireless Sensor Networks.- Enhance Security to MANETs Against Black Hole Attack Using AS Technique.- Design of Smart Water-Saving Irrigation System in Agriculture Based on Wireless Sensor Network for Better Crop Yield.- SVM -- A Way to Measure the Trust Ability of a Cloud Service Based on Rank.…”
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Intelligent systems for machine olfaction : tools and methodologies / by IGI InfoSci, IGI Global

Table of Contents: “…Detection of diseases and volatile discrimination of plants / Reza Ghaffari [and others] -- 9. …”
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Elements of dimensionality reduction and manifold learning / by Ghojogh, Benyamin, Crowley, Mark, Karray, Fakhri, Ghodsi, Ali, SpringerLink (Online service)

Table of Contents: “…Chapter 1: Introduction -- Part 1: Preliminaries and Background -- Chapter 2: Background on Linear Algebra -- Chapter 3: Background on Kernels -- Chapter 4: Background on Optimization -- Part 2: Spectral dimensionality Reduction -- Chapter 5: Principal Component Analysis -- Chapter 6: Fisher Discriminant Analysis -- Chapter 7: Multidimensional Scaling, Sammon Mapping, and Isomap -- Chapter 8: Locally Linear Embedding -- Chapter 9: Laplacian-based Dimensionality Reduction -- Chapter 10: Unified Spectral Framework and Maximum Variance Unfolding -- Chapter 11: Spectral Metric Learning -- Part 3: Probabilistic Dimensionality Reduction -- Chapter 12: Factor Analysis and Probabilistic Principal Component Analysis -- Chapter 13: Probabilistic Metric Learning -- Chapter 14: Random Projection -- Chapter 15: Sufficient Dimension Reduction and Kernel Dimension Reduction -- Chapter 16: Stochastic Neighbour Embedding -- Chapter 17: Uniform Manifold Approximation and Projection (UMAP) -- Part 4: Neural Network-based Dimensionality Reduction -- Chapter 18: Restricted Boltzmann Machine and Deep Belief Network -- Chapter 19: Deep Metric Learning -- Chapter 20: Variational Autoencoders -- Chapter 21: Adversarial Autoencoders.…”
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The Internet in everything : freedom and security in a world with no off switch / by DeNardis, Laura, 1966-

Computer Vision-- ACCV 2012 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised selected papers. by Asian Conference on Computer Vision Taejŏn-si, Korea, SpringerLink (Online service)

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Graph-based methods in computer vision : developments and applications / by IGI InfoSci, IGI Global

Table of Contents: “…Graph matching techniques for computer vision / Mario Vento, Pasquale Foggia -- Geometric-edge random graph model for image representation / Jiang Bo, Tang Jing, Luo Bin -- The node-to-node graph matching algorithm schema / Guoxing Zhao, Jixin Ma -- Unsupervised and supervised image segmentation using graph partitioning / Charles-Edmond Bichot -- Motion segmentation and matting by graph cut / Jiangjian Xiao -- Hypergraph based visual segmentation and retrieval / Yuchi Huang -- Recent advances on graph-based image segmentation techniques / Chao Zeng [and others] -- Graph embedding using dissimilarities with applications in classification / Horst Bunke, Kaspar Riesen -- Generative group activity analysis with quaternion descriptor / Guangyu Zhu [and others] -- Shape retrieval and classification based on geodesic paths in skeleton graphs / Xiang Bai [and others] -- Discriminative feature selection in image classification and retrieval / Shang Liu, Xiao Bai -- Normalized projection and graph embedding via angular decomposition / Dengdi Sun [and others] -- Region-based graph learning towards large scale image annotation / Bao Bing-Kun, Yan Shuicheng -- Copy detection using graphical model: HMM for frame fusion / Shikui Wei, Yao Zhao, Zhenfeng Zhu -- Multi-scale exemplary based image super-resolution with graph generalization / Wang Jinjun -- Graph heat kernel based image smoothing / Zhang Fan, Edwin Hancock, Liu Shang.…”
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Advanced digital optical communications / by Binh, Le Nguyen, Safari Books Online

Table of Contents: “…Front Cover; Contents; Preface; Acknowledgments; Author; Acronyms; Chapter 1: Introduction; Chapter 2: Optical Fibers; Chapter 3: Optical Transmitters; Chapter 4: Optical Receivers and Transmission Performance : Fundamentals; Chapter 5: Optical Coherent Detection and Processing Systems; Chapter 6: Differential Phase Shift Keying Photonic Systems; Chapter 7: Multilevel Amplitude and Phase Shift Keying Optical Transmission; Chapter 8: Continuous Phase Modulation Format Optical Systems; Chapter 9: Frequency Discrimination Reception for Optical Minimum Shift Keying.…”
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Local binary patterns : new variants and applications / by SpringerLink (Online service)

Table of Contents: “…Philips -- Local Configuration Features and Discriminative Learnt Features for Texture Description, Yimo Guo, Guoying Zhao, and Matti Pietiki nen -- Heterogeneous Ensemble of Classifiers for Sub-Cellular Image Classification Based on Local Ternary Patterns, Loris Nanni, Michelangeo Paci, and Stefano Severi -- Fuzzy Local Binary Patterns, Stamos Katsigiannis, Eystratios Keramidas, Dimitris Maroulis -- Ensemble of Local Phase Quantization Variants with Ternary Encoding, Loris Nanni, Sheryl Brahnam, Alessandra Lumini, and Tonya Barrier -- State-of-the-Art LBP Descriptor for Face Recognition, Cho Ho Chan, Josef Kittler, and Norman Poh -- Thermal Face Recognition in Unconstrained Environments Using Histograms of LBP Features, Javier Ruiz-del-Solar, Rodrigo Verschae, Gabriel Hermosilla, and Mauricio Correa -- Histogram-Tensorial Gaussian Representations and its Applications to Facial Analysis, John A. …”
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Artificial neural networks in pattern recognition : 6th IAPR TC 3 International Workshop, ANNPR 2014, Montreal, QC, Canada, October 6-8, 2014 : proceedings / by ANNPR (Workshop) Montreal, Quebec), SpringerLink (Online service)

Table of Contents: “…A Decorrelation Approach for Pruning of Multilayer Perceptron Networks -- Entity Recognition -- Incremental Feature Selection by Block Addition and Block Deletion Using Least Squares SVRs -- Low-dimensional Data Representation in Data Analysis -- Analyzing dynamic ensemble selection techniques using dissimilarity Analysis -- Hidden Markov Models Based on Generalized Dirichlet Mixtures for Proportional Data Modeling -- Majority-Class aware Support Vector Domain Oversampling for Imbalanced Classification Problems -- Forward and Backward Forecasting Ensembles for the Estimation of Time Series Missing Data -- Dynamic Weighted Fusion of Adaptive Classifier Ensembles Based on Changing Data Streams: Combining Bipartite Graph Matching and Beam Search for Graph Edit Distance Approximation -- Computing Upper and Lower Bounds of Graph Edit Distance in Cubic Time -- Linear contrast classifiers in high-dimensional spaces -- A new multi-class fuzzy support vector machine algorithm -- A reinforcement learning algorithm to train a Tetris playing agent -- Bio-inspired optic ow from event-based neuromorphic sensor input -- Comparative Study of Feature Selection for White Blood Cell End-Shape Recognition for Arabic Handwritten Text Segmentation -- Intelligent Ensemble Systems for Modeling NASDAQ Microstructure: A Comparative Study -- Face Recognition based on Discriminative Dictionary with Multilevel Feature Fusion -- Ensembles in Ubiquitous Healthcare Systems.…”
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Industrial engineering and operations management I : XXIV IJCIEOM, Lisbon, Portugal, July 18-20 / by International Joint Conference on Industrial Engineering and Operations Management Lisbon, Portugal, SpringerLink (Online service)

Table of Contents: “…The Impact of ERP Systems on the Organizational Maturity of Brazilian Construction Companies1 Introduction; 2 ERP System in the Construction Industry; 3 ERP and Maturity; 4 Methodology; 5 Results and Discussion; 5.1 Discriminant Analysis; 5.2 Pearson Correlation; 5.3 Discriminant Analysis, Pearson Correlation and Descriptive Analysis; 6 Conclusions; References; Choosing the Most Effective Networking Strategy and Practice for Open Innovation; 1 Introduction; 2 Networking in Open Innovation; 2.1 Criteria; 2.2 Strategies and Practices; 3 Methodology; 3.1 Determination of the Weights of Criteria…”
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