Search Results - (((((((want OR wkent) OR semantic) OR when) OR cantor) OR anne) OR shape) OR hints) algorithms.

3D face modeling, analysis and recognition by Daoudi, Mohamed, Ph. D., Srivastava, Anuj, Veltkamp, Remco C., 1963-

Table of Contents: “…3.5.4 Extension to Facial Surfaces Shape Analysis3.6 The Dense Scalar Field (DSF); 3.7 Statistical Shape Analysis; 3.7.1 Statistics on Manifolds: Karcher Mean; 3.7.2 Learning Statistical Models in Shape Space; 3.8 Applications of Statistical Shape Analysis; 3.8.1 3D Face Restoration; 3.8.2 Hierarchical Organization of Facial Shapes; 3.9 The Iso-geodesic Stripes; 3.9.1 Extraction of Facial Stripes; 3.9.2 Computing Relationships between Facial Stripes; 3.9.3 Face Representation and Matching Using Iso-geodesic Stripes; Exercises; Glossary; References.…”
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Wavelet theory approach to pattern recognition

Table of Contents: “…Comparison with other wavelets. 7.4. Algorithm and experiments -- ch. 8. Skeletonization of ribbon-like shapes with new wavelet function. 8.1. …”
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Discovering knowledge in data : an introduction to data mining by Larose, Daniel T.

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Numerical Methods for Eigenvalue Problems. by Börm, Steffen

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International e-Conference of Computer Science 2006

Table of Contents: “…A Computational Algorithm to Obtain the Law of the Solvable Lie Algebra of n x n Upper-Triangular MatricesWeb Data Extraction using Semantic Generators -- Integrity-Enhanced Improvements for ISO 9001 registeredOrganizations -- A Ghost Bit Based Finite Field Arithmetic for FPGAs -- A Scalable Finite Field Multiplier with Interleaving Reduction -- Intelligent Tutoring Systems and Convex Geometries -- Towards Operational Content Infrastructure -- A Computational Fusion of Wavelets and Neural Networks in a Classifier for Biomedical Applications…”
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STAIRS 2010 : Proceedings of the Fifth Starting AI Researchers' Symposium. by Ågotnes, Thomas

Table of Contents: “…; Generative Structure Learning for Markov Logic Networks; Learning Fuzzy Models of User Interests in a Semantic Information Retrieval System; Ontology-Based Document and Query Representation May Improve the Effectiveness of Information Retrieval.…”
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Literature and encyclopedism in Enlightenment Britain : the pursuit of complete knowledge by Rudy, Seth, 1978-

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Optimization of Observation and Control Processes. by Malyshev, V. V.

Table of Contents: “…Optimization of Informational Noise When Observing a Dynamic Object""; ""4.6. Example of Observing a Maneuvering Object""; ""Chapter 5. …”
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The Finite Element Method : a Practical Course. by Liu, G. R.

Table of Contents: “…3.4.3.3 On other means of construct shape functions3.4.4 Properties of the shape functions; 3.4.5 Formulation of finite element equations in local coordinate system; 3.4.6 Coordinate transformation; 3.4.7 Assembly of global FE equation; 3.4.8 Imposition of displacement constraints; 3.4.9 Solving the global FE equation; 3.5 Static analysis; 3.6 Analysis of free vibration (eigenvalue analysis); 3.7 Transient response; 3.7.1 Central difference algorithm; 3.7.2 Newmark's method (Newmark, 1959); 3.8 Remarks; 3.8.1 Summary of shape function properties.…”
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Machine learning for the web by Isoni, Andrea

Table of Contents: “…Multinomial Naive BayesGaussian Naive Bayes; Decision trees; Support vector machine; Kernel trick; A comparison of methods; Regression problem; Classification problem; Hidden Markov model; A Python example; Summary; Web Mining Techniques; Web structure mining; Web crawlers (or spiders); Indexer; Ranking -- PageRank algorithm; Web content mining; Parsing; Natural language processing; Information retrieval models; TF-IDF; Latent Semantic Analysis (LSA); Doc2Vec (word2vec); Word2vec -- continuous bag of words and skip-gram architectures; Mathematical description of the CBOW model.…”
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Data mining techniques : for marketing, sales, and customer relationship management by Berry, Michael J. A.

Table of Contents: “…-- The virtuous cycle of data mining -- Data mining methodology and best practices -- Data mining applications in marketing and customer relationship management -- The lure of statistics : data mining using familiar tools -- Decision trees -- Artificial neural networks -- Nearest neighbor approaches : memory-based reasoning and collaborative filtering -- Market basket analysis and association rules -- Link analysis -- Automatic cluster detection -- Knowing when to worry : hazard functions and survival analysis in marketing -- Genetic algorithms -- Data mining throughout the customer life cycle -- Data warehousing, OLAP, and data mining -- Building the data mining environment -- Preparing data for mining -- Putting data mining to work.…”
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Explorations in Computing : an Introduction to Computer Science. by Conery, John S.

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Space division multiple access for wireless local area networks by Vandenameele, Patrick

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Logic and Discrete Mathematics : A Concise Introduction, Solutions Manual. by Conradie, Willem

Table of Contents: “…Valid and invalid propositional inferences -- 3.3 Semantic tableaux -- 3.4 Logical equivalences. Negating propositional formulae -- 3.5 Normal forms. …”
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Logic and Discrete Mathematics : A Concise Introduction. by Conradie, Willem

Table of Contents: “…Valid and invalid propositional inferences -- 3.3 The concept and use of deductive systems -- 3.4 Semantic tableaux -- 3.5 Logical equivalences. Negating propositional formulae -- 3.6 Normal forms. …”
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Anaphora Resolution. by Mitkov, Ruslan

Table of Contents: “…2.1.2 Syntactic knowledge2.1.3 Semantic knowledge; 2.1.4 Discourse knowledge; 2.1.5 Real-world (common-sense) knowledge; 2.2 Anaphora resolution in practice; 2.2.1 Identification of anaphors; 2.2.1.1 Identification of anaphoric pronouns; 2.2.1.2 Identification of anaphoric noun phrases; 2.2.1.3 Tools and resources for the identification of anaphors; 2.2.2 Location of the candidates for antecedents; 2.2.2.1 The search scope of candidates for antecedent; 2.2.2.2 Tools and resources needed for the location of potential candidates; 2.2.3 The resolution algorithm: factors in anaphora resolution.…”
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Recent Advances in Natural Language Processing : Selected Papers from RANLP'95

Table of Contents: “…An augmented Earley algorithm for repair; 5.1 String representations; 5.2 Augmentations to the standard algorithm; 5.3 The augmented algorithm; 5.4 Remarks; 6 Conclusion; REFERENCES; Parsing for Targeted Errors in Controlled Languages; Abstract; 1. …”
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An introduction to computational engineering with Matlab by Yang, Xin-She

Table of Contents: “…Optimization in Engineering -- 12.1 Introduction -- 12.2 Bioinspired Algorithms -- 12.2.1 Genetic Algorithms -- 12.2.2 Neural Networks…”
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Java Deep Learning Projects : Implement 10 Real-World Deep Learning Applications Using Deeplearning4j and Open Source APIs. by Karim, Rezaul

Table of Contents: “…; Artificial Neural Networks; Biological neurons; A brief history of ANNs; How does an ANN learn?; ANNs and the backpropagation algorithm; Forward and backward passes; Weights and biases; Weight optimization; Activation functions.…”
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Tales of Literacy for the 21st Century : the Literary Agenda. by Wolf, Maryanne

Table of Contents: “…; Deep reading and what comes next; A first algorithm for what comes next; Notes; 7: A Tale of Hope for Non-Literate Children.…”
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