Search Results - (((((((ant OR semantic) OR wantis) OR hands) OR cantor) OR anne) OR file) OR granting) algorithms.

Practical Algorithms for 3D Computer Graphics, Second Edition. by Ferguson, R. Stuart (Robin Stuart), 1953-

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Hands-On Cryptography with Python : Leverage the Power of Python to Encrypt and Decrypt Data. by Bowne, Samuel

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Hands-On Blockchain with Hyperledger : Building Decentralized Applications with Hyperledger Fabric and Composer. by Baset, Salman

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Hands-on cybersecurity with Blockchain : implement DDoS protection, PKI-based identity, 2FA, and DNS security using Blockchain by Gupta, Rajneesh

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Simple adaptive strategies : from regret-matching to uncoupled dynamics by Hart, Sergiu

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Nearest-neighbor methods in learning and vision : theory and practice

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Error Correction Coding : Mathematical Methods and Algorithms. by Moon, Todd K.

Table of Contents: “…Cover -- Title Page -- Copyright -- Contents -- Preface -- List of Program Files -- List of Laboratory Exercises -- List of Algorithms -- List of Figures -- List of Tables -- List of Boxes -- About the Companion Website -- Part I Introduction and Foundations -- Chapter 1 A Context for Error Correction Coding -- 1.1 Purpose of This Book -- 1.2 Introduction: Where Are Codes? …”
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Computer animation : algorithms and techniques by Parent, Rick

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Data Structure and Algorithms Using C++ : A Practical Implementation. by Mohanty, Sachi Nandan

Table of Contents: “…4.8 Inline Member Function -- 4.9 Friend Function -- 4.9.1 Simple Friend Function -- 4.9.2 Friend With Inline Substitution -- 4.9.3 Granting Friendship to Another Class (Friend Class) -- 4.9.4 More Than One Class Having the Same Friend Function -- 4.10 Static Data Member and Member Functions -- 4.11 Constructor and Destructor -- 4.11.1 Constructor -- 4.11.2 Destructor -- 4.12 Dynamic Memory Allocation -- 4.13 This Pointer -- 4.14 Class Within Class -- 4.15 Questions -- 5 Stack -- 5.1 STACK -- 5.2 Operations Performed With STACK -- 5.3 ALGORITHMS -- 5.4 Applications of STACK…”
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Network and discrete location : models, algorithms, and applications by Daskin, Mark S., 1952-

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Algorithms, architectures and information systems security

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Hands-On Deep Learning with TensorFlow. by Boxel, Dan Van

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Building winning algorithmic trading systems : a trader's journey from data mining to Monte Carlo simulation to live trading by Davey, Kevin J., 1966-

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Learning Neo4j 3.x - Second Edition. by Baton, Jerome

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Boosting : foundations and algorithms by Schapire, Robert E.

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Learning JavaScript data structures and algorithms : understand and implement classic data structures and algorithms using JavaScript by Groner, Loiane

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Molecular bioinformatics : algorithms and applications by Schulze-Kremer, S. (Steffen)

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Hands-On Artificial Intelligence for IoT : Expert Machine Learning and Deep Learning Techniques for Developing Smarter IoT Systems. by Kapoor, Amita

Table of Contents: “…Using TXT files in PythonCSV format; Working with CSV files with the csv module; Working with CSV files with the pandas module; Working with CSV files with the NumPy module; XLSX format; Using OpenPyXl for XLSX files; Using pandas with XLSX files; Working with the JSON format; Using JSON files with the JSON module; JSON files with the pandas module; HDF5 format; Using HDF5 with PyTables; Using HDF5 with pandas; Using HDF5 with h5py; SQL data; The SQLite database engine; The MySQL database engine; NoSQL data; HDFS; Using hdfs3 with HDFS; Using PyArrow's filesystem interface for HDFS; Summary…”
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A Hands-On Guide to Designing Embedded Systems. by Taylor, Adam

Table of Contents: “…-- 3.6.2 Self-Checking Test Benches -- 3.6.3 Corner Cases, Boundary Conditions, and Stress Testing -- 3.6.4 Code Coverage -- 3.6.5 Test Functions and Procedures -- 3.6.6 Behavioral Models -- 3.6.7 Using Text IO Files -- 3.6.8 What Else Might We Consider? -- 3.7 Finite State Machine Design -- 3.7.1 Defining a State Machine -- 3.7.2 Algorithmic State Diagrams -- 3.7.3 Moore or Mealy: What Should I Choose? …”
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Deep Learning for the Earth Sciences : A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences. by Camps-Valls, Gustau

Table of Contents: “…6.1.4 Evaluation Metrics -- 6.1.4.1 Precision-Recall Curve -- 6.1.4.2 Average Precision and Mean Average Precision -- 6.1.5 Applications -- 6.2 Preliminaries on Object Detection with Deep Models -- 6.2.1 Two-stage Algorithms -- 6.2.1.1 R-CNNs -- 6.2.1.2 R-FCN -- 6.2.2 One-stage Algorithms -- 6.2.2.1 YOLO -- 6.2.2.2 SSD -- 6.3 Object Detection in Optical RS Images -- 6.3.1 Related Works -- 6.3.1.1 Scale Variance -- 6.3.1.2 Orientation Variance -- 6.3.1.3 Oriented Object Detection -- 6.3.1.4 Detecting in Large-size Images -- 6.3.2 Datasets and Benchmark -- 6.3.2.1 DOTA -- 6.3.2.2 VisDrone…”
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