Search Results - (((((((ken OR want) OR semantic) OR wind) OR cantor) OR anne) OR share) OR hints) algorithms.

Learning-based local visual representation and indexing by Rongrong, Ji, Yao, Hongxun, Gao, Yue, Duan, Ling-Yu, Dai, Qionghai

Table of Contents: “…3.4.1 Cross-database Case3.4.2 Incremental Transfer; 3.5 Experiments; 3.5.1 Quantitative results; 3.6 Summary; Chapter 4: Supervised Dictionary Learning via Semantic Embedding ; 4.1 Introduction; 4.2 Semantic Labeling Propagation; 4.2.1 Density Diversity Estimation ; 4.3 Supervised Dictionary Learning; 4.3.1 Generative Modeling ; 4.3.2 Supervised Quantization ; 4.4 Experiments; 4.4.1 Database and Evaluations; 4.4.2 Quantitative Results; 4.5 Summary; Chapter 5: Visual Pattern Mining; 5.1 Introduction; 5.2 Discriminative 3D Pattern Mining; 5.2.1 The Proposed Mining Scheme.…”
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Media Backends : Digital Infrastructures and Sociotechnical Relations. by Parks, Lisa

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Bridge health monitoring, maintenance and safety : special topic volume with invited peer reviewed papers only

Table of Contents: “…Modal test and analysis of a bridge under the varying temperature condition -- Bridge significant failure mode identification strategy under traffic-load -- Fatigue reliability analysis of the stay cables of cable-stayed bridge under combined loads of stochastic traffic and wind -- Updating the finite element model of a bridge model using a hybrid optimization method -- An improved Taguchi method and its application in finite element model updating of bridges -- Nonlinear seismic response analysis of half through CFST arch bridge under 3-D earthquake waves -- Simplified seismic response assessment method and parametric study of multi-girder skew bridges -- Seismic testing of a long-span concrete filled steel tubular arch bridge -- Study on finite element model of bridge multi-pile foundation -- Sensor optimal placement for bridge structure based on single parents genetic algorithm with different fitness functions.…”
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Pattern discovery in biomolecular data : tools, techniques, and applications

Table of Contents: “…Discovering patterns in DNA sequences by the algorithmic significance method / Aleksandar Milosavljevic -- Assembling blocks / Jorja G. …”
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Selected papers from the 11th international symposium on electromagnetics fields in electrical engineering ISEF 2003 by Wiak, S.

Table of Contents: “…Finite element modelling of stacked thin regions with non-zero global currentsReliability-based topology optimization for electromagnetic systems; A "quasi-genetic" algorithm for searching the dangerous areas generated by a grounding system; Development of optimizing method using quality engineering and multivariate analysis based on finite element method; An improved fast method for computing capacitance; Power losses analysis in the windings of electromagnetic gear; Finite element analysis of the magnetorheological fluid brake transients; Magnetic stimulation of knee -- mathematical model…”
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Big Data, IoT, and Machine Learning : Tools and Applications. by Agrawal, Rashmi

Table of Contents: “…Chapter 3 Reviews Analysis of Apple Store Applications Using Supervised Machine Learning -- 3.1 Introduction -- 3.2 Literature Review -- 3.2.1 Machine Learning Algorithms -- 3.2.2 Feature Extraction Algorithms -- 3.3 Proposed Methodology -- 3.3.1 Data Collection -- 3.3.2 Feature Extraction -- 3.3.3 Data Analysis and Sentiment Analysis -- Text Processing -- 3.3.4 Text Normalisation -- 3.4 Feature Extraction Algorithm -- 3.4.1 CountVectorizer -- 3.4.2 TfidfVectorizer (TF-IDF) -- 3.5 Supervised ML Classification -- 3.6 Experiment Design -- 3.7 Experimental Results and Analysis…”
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Knowledge discovery for business information systems

Table of Contents: “…Problem Description -- 3. The FUP Algorithm for the Insertion Only Case -- 4. The FUP Algorithm for the Deletions Only Case -- 5. …”
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Introduction to graph theory by Voloshin, Vitaly I. (Vitaly Ivanovich), 1954-

Table of Contents: “…What Is Mathematical Induction; 7.2. Graph Theory Algorithms and Their Complexity; 7.3. Answers and Hints to Selected Exercises; 7.4. …”
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Research Progress of Magnetic Levitating Bearings and Some Advanced Technology. by Xiping, Wang

Table of Contents: “…Magnetic Force Characteristics and Structure of a Novel Radial Hybrid Magnetic BearingMethod of Variable Parameter PID Control Applied for AMB System; Research on Adaptive Feedforward Control Algorithm of Electromagnetic Active Vibration Isolation System; Rotor Eddy Current Losses Analysis on BPMSM Using FEM; Self Adaptive Integral-Type Sliding Mode Control for Supporting Structure of a Magnetic Vertical Axis Wind Turbine; Sensorless Control of IPMSM Using Extended Flux Estimation Method; Sensorless Control of IPMSM Using Modified Current Slope Estimation Method…”
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Tsunamis : causes, characteristics, warnings and protection

Table of Contents: “…Model of Hydrogen Sulfide Down-Wind Dispersion""; ""8.4. Model Implementation""; ""8.4.1. …”
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High Performance Computing Systems and Applications & OSCAR Symposium. by International Symposium on High Performance Computing Systems and Applications (17th : 2003 : Sherbrooke, Quebec)

Table of Contents: “…""The Impact of Hyper-Threading on Communication Performance in HPC Clusters""""A Preliminary Feasibility Study of the LARPBS Optical Bus Parallel Model""; ""Efficient Broadcast on Computational Grids""; ""The Canadian Internetworked Scientific Supercomputer""; ""Distributed Beagle: An Environment for Parallel and Distributed Evolutionary Computations""; ""A Brief Introduction to UPC""; ""SCOJO -- Share-Based Job Coscheduling with Integrated Dynamic Resource Directory in Support Or Grid Scheduling""…”
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Web-based learning : men and machines - proceedings of the first international conference on web-based learning in china (icwl 2002). by REGGIE, KWAN

Table of Contents: “…Patterns of Web Based Learning in the Semantic Web Era ; PART THREE Tools.…”
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Internet+ and electronic business in China : innovation and applications

Table of Contents: “…Emotional analysis of online reviews on e-business platforms -- Chapter 14. Semantic search of online reviews on e-business platforms -- Part IV. …”
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Yacht modelling and adaptive control by Xiao, Chengmo

Table of Contents: “…LQR Self-tuning PD Control Algorithm; 4.2.2. LQR Self-tuning PID Control Algorithm.…”
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Comorbidity in migraine

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Slantwise moves : games, literature, and social invention in nineteenth-century America by Guerra, Douglas

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Technologies for Engineering Manufacturing Systems Control in Closed Loop. by Preuße, Sebastian

Table of Contents: “…Intro; 1 Introduction; 2 Basic Principles; 2.1 Technologies for studying Behavior; 2.2 Plants; 2.3 Controllers; 2.3.1 IEC 61131-3; 2.3.2 IEC 61499-1; 2.4 System Models; 2.4.1 Syntax; 2.4.2 Semantics; 2.5 Basics of Specifications; 2.5.1 Computation Tree Logic; 2.5.2 Extended Computation Tree Logic; 2.5.3 Timed Computation Tree Logic; 2.5.4 Symbolic Timing Diagrams; 2.6 Closed-Loop Composition; 2.7 Model Checking; 2.7.1 General Remarks; 2.7.2 Model Checking Algorithm; 2.8 Summary; 3 Formal Modeling of Plant, Controller, and the Closed Loop; 3.1 Demonstration Example; 3.2 Formal Plant Modeling.…”
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Vehicle & mechanical engineering and information technology : selected, peer reviewed papers from the 2012 International Conference on Vehicle & Mechanical Engineering and Informat...

Table of Contents: “…A Study on the Development of Micro Metal Gear with Outer Diameter of 500um Using MIM ProcessImpact of Wind Generation in the Generation Reliability Assessment; Assessment of Redundant Steel Structural Systems Considering Effects of Member Strength Variability on the System; Numerical Investigations of Different Seismic Retrofit Techniques for Flat-Slab Structures; EDA-Based Charging Algorithm for Plug-In Hybrid Electric Vehicle to Shift the Peak of Power Supply; Chapter 2: Advanced Technologies in Materials Science and Engineering.…”
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Cinder Creative Coding Cookbook. by Dawid Gorny, Rui Madeira

Table of Contents: “…Creating a simple video controllerSaving window content as an image; Saving window animations as video; Saving window content as a vector graphics image; Saving high resolution images with the tile renderer; Sharing graphics between applications; Building Particle Systems; Introduction; Creating a particle system in 2D; Applying repulsion and attraction forces; Simulating particles flying in the wind; Simulating flocking behavior; Making our particles sound reactive; Aligning particles to a processed image; Aligning particles to the mesh surface; Creating springs.…”
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Mastering Scala machine learning by Kozlov, Alexander

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