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Advanced multimedia and ubiquitous engineering : future information technology.
Table of Contents: “…From the Contents: The study on the detection of the damaged file using the graph of the information entropy for Security Management -- Enhancing Dataset Processing in Hadoop YARN Performance for Big Data Applications -- A Multimetric Approach for Discriminating Distributed Denial of Service Attacks from Flash Crowds -- A Supporting Tool for Spiral Model of Cryptographic Protocol Design with Reasoning-based Formal Analysis.…”
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Human and Automatic Speaker Recognition over Telecommunication Channels /
Table of Contents: “…Introduction -- Literature Review -- Human Speaker Identification Performance under Channel Degradations -- Importance of Intelligible Phonemes for Human Speaker Recognition in Different Bandwidths -- Automatic Speaker Verification Performance Under Channel Distortions -- Detecting Speaker-Discriminative Spectral Content in Wideband for Automatic Speaker Recognition -- Relations Among Speech Quality, Human Speaker Identification, and Automatic Speaker Verification. …”
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Greenhouse gas emissions from international aviation : legal and policy challenges /
Table of Contents: “…1.3 The Political Dimension: A Small Piece within a Bigger Puzzle1.3.1 The Problems with Lack of Progress; 1.3.2 Exogenous Threats; 1.4 Conclusion; 2 Aviation and Climate Change: A Case of Fragmentation of International Law; 2.1 The Interaction between International Aviation and the Climate Change Regime; 2.1.1 The Kyoto Protocol; 2.1.2 ICAO and Climate Change: Some Unanswered Questions; 2.1.3 The CBDR/Non-Discrimination Saga; 2.2 From Theory to What Happens in Practice; 2.2.1 Understanding Non-Discrimination; 2.2.2 Understanding CBDR; 2.3 A Look into Fragmentation of International Law.…”
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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 /…”
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Image color feature extraction techniques fundamentals and applications /
Table of Contents: “…1.3 Pseudocolor Image Processing -- 1.4 Full-Color Image Processing -- 1.5 Summary -- References -- 2 Histogram-Based Image Color Features -- 2.1 Color Histogram -- 2.2 Histogram Intersection -- 2.3 Color Histogram Discrimination -- 2.3.1 Histogram Minkowski Distance -- 2.3.2 Histogram Manhattan Distance -- 2.3.3 Histogram Euclidean Distance -- 2.3.4 Histogram Chebyshev Distance -- 2.3.5 Histogram Intersection Distance -- 2.3.6 Histogram Quadratic (Cross) Distance -- 2.3.7 Histogram Cosine Distance -- 2.3.8 Histogram Canberra Distance -- 2.3.9 Histogram Kolmogorov-Smirnov Divergence Distance…”
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Proceedings of ELM, 2014.
Table of Contents: “…Sparse Bayesian ELM handling with missing data for multi-class classification -- A Fast Incremental Method Based on Regularized Extreme Learning Machine -- Parallel Ensemble of Online Sequential Extreme Learning Machine Based on MapReduce -- Explicit Computation of Input Weights in Extreme Learning Machines -- Subspace Detection on Concept Drifting Data Stream -- Inductive Bias for Semi-supervised Extreme Learning Machine -- ELM based Efficient Probabilistic Threshold Query on Uncertain Data -- Sample-based Extreme Learning Machine Regression with Absent Data -- Two Stages Query Processing Optimization based on ELM in the Cloud -- Domain Adaption Transfer Extreme Learning Machine -- Quasi-linear extreme learning machine model based nonlinear system identification -- A novel bio-inspired image recognition network with extreme learning machine -- A Deep and Stable Extreme Learning Approach for Classification and Regression -- Extreme Learning Machine Ensemble Classifier for Large-scale Data -- Pruned Extreme Learning Machine Optimization based on RANSAC Multi Model Response Regularization -- Learning ELM network weights using linear discriminant analysis -- An Algorithm for Classification over Uncertain Data based on Extreme Learning Machine -- Training Generalized Feedforward Kernelized Neural Networks on Very Large Datasets for Regression Using Minimal-Enclosing-Ball Approximation -- An Online Multiple Model Approach to Improve Performance in Univariate Time-Series Prediction -- A Self-organizing Mixture Extreme Leaning Machine for Time Series Forecasting -- A Robust AdaBoost. …”
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Information science and applications /
Table of Contents: “…NDIBANJE, et al -- A Noninvasive Sensor System for Discriminating Mobility Pattern on a Bed; S.H. Cho, S. …”
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