Machine Learning and Data Mining in Pattern Recognition - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783642315367, 9783642315374

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Hot Deck Methods for Imputing Missing Data

Machine Learning and Data Mining in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/978-3-642-31537-4_6 ◽

2012 ◽

pp. 63-75 ◽

Cited By ~ 9

Author(s):

Dieter William Joenssen ◽

Udo Bankhofer

Keyword(s):

Missing Data

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Classification of Breast Tissues in Mammographic Images in Mass and Non-mass Using McIntosh’s Diversity Index and SVM

Machine Learning and Data Mining in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/978-3-642-31537-4_38 ◽

2012 ◽

pp. 482-494 ◽

Cited By ~ 2

Author(s):

Péterson Moraes de Sousa Carvalho ◽

Anselmo Cardoso de Paiva ◽

Aristófanes Corrêa Silva

Keyword(s):

Diversity Index ◽

Mammographic Images ◽

Breast Tissues

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Outcome Prediction for Patients with Severe Traumatic Brain Injury Using Permutation Entropy Analysis of Electronic Vital Signs Data

Machine Learning and Data Mining in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/978-3-642-31537-4_33 ◽

2012 ◽

pp. 415-426 ◽

Cited By ~ 2

Author(s):

Konstantinos Kalpakis ◽

Shiming Yang ◽

Peter F. Hu ◽

Colin F. Mackenzie ◽

Lynn G. Stansbury ◽

...

Keyword(s):

Traumatic Brain Injury ◽

Brain Injury ◽

Severe Traumatic Brain Injury ◽

Outcome Prediction ◽

Vital Signs ◽

Permutation Entropy ◽

Entropy Analysis

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Detecting Actions by Integrating Sequential Symbolic and Sub-symbolic Information in Human Activity Recognition

Machine Learning and Data Mining in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/978-3-642-31537-4_31 ◽

2012 ◽

pp. 394-404 ◽

Cited By ~ 4

Author(s):

Michael Glodek ◽

Friedhelm Schwenker ◽

Günther Palm

Keyword(s):

Activity Recognition ◽

Human Activity ◽

Human Activity Recognition ◽

Symbolic Information

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Clustering Data Stream by a Sub-window Approach Using DCA

Machine Learning and Data Mining in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/978-3-642-31537-4_22 ◽

2012 ◽

pp. 279-292 ◽

Cited By ~ 2

Author(s):

Minh Thuy Ta ◽

Hoai An Le Thi ◽

Lydia Boudjeloud-Assala

Keyword(s):

Data Stream ◽

Clustering Data ◽

Window Approach

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Semi Supervised Clustering: A Pareto Approach

Machine Learning and Data Mining in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/978-3-642-31537-4_19 ◽

2012 ◽

pp. 237-251 ◽

Cited By ~ 4

Author(s):

Javid Ebrahimi ◽

Mohammad Saniee Abadeh

Keyword(s):

Supervised Clustering

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Constructing Target Concept in Multiple Instance Learning Using Maximum Partial Entropy

Machine Learning and Data Mining in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/978-3-642-31537-4_14 ◽

2012 ◽

pp. 169-182 ◽

Cited By ~ 1

Author(s):

Tao Xu ◽

David Chiu ◽

Iker Gondra

Keyword(s):

Multiple Instance Learning ◽

Target Concept

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A Pattern Recognition System for Malicious PDF Files Detection

Machine Learning and Data Mining in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/978-3-642-31537-4_40 ◽

2012 ◽

pp. 510-524 ◽

Cited By ~ 35

Author(s):

Davide Maiorca ◽

Giorgio Giacinto ◽

Igino Corona

Keyword(s):

Pattern Recognition ◽

Recognition System ◽

Pattern Recognition System

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An Algorithm for the Automatic Estimation of Image Orientation

Machine Learning and Data Mining in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/978-3-642-31537-4_26 ◽

2012 ◽

pp. 336-344

Author(s):

Mariusz Borawski ◽

Dariusz Frejlichowski

Keyword(s):

Automatic Estimation ◽

Image Orientation

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Discriminant Subspace Learning Based on Support Vectors Machines

Machine Learning and Data Mining in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/978-3-642-31537-4_16 ◽

2012 ◽

pp. 198-212

Author(s):

Nikolaos Pitelis ◽

Anastasios Tefas

Keyword(s):

Subspace Learning ◽

Support Vectors

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Machine Learning and Data Mining in Pattern Recognition - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Hot Deck Methods for Imputing Missing Data

Classification of Breast Tissues in Mammographic Images in Mass and Non-mass Using McIntosh’s Diversity Index and SVM

Outcome Prediction for Patients with Severe Traumatic Brain Injury Using Permutation Entropy Analysis of Electronic Vital Signs Data

Detecting Actions by Integrating Sequential Symbolic and Sub-symbolic Information in Human Activity Recognition

Clustering Data Stream by a Sub-window Approach Using DCA

Semi Supervised Clustering: A Pareto Approach

Constructing Target Concept in Multiple Instance Learning Using Maximum Partial Entropy

A Pattern Recognition System for Malicious PDF Files Detection

An Algorithm for the Automatic Estimation of Image Orientation

Discriminant Subspace Learning Based on Support Vectors Machines

Machine Learning and Data Mining in Pattern Recognition - Lecture Notes in Computer Science
Latest Publications