Lecture Notes in Computer Science - Pattern Recognition Applications and Methods
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Published By Springer International Publishing

9783319255293, 9783319255309

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SCHOG Feature for Pedestrian Detection

Lecture Notes in Computer Science - Pattern Recognition Applications and Methods ◽

10.1007/978-3-319-25530-9_4 ◽

2015 ◽

pp. 50-61

Author(s):

Ryuichi Ozaki ◽

Kazunori Onoguchi

Keyword(s):

Pedestrian Detection

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Learning Prior Bias in Classifier

Lecture Notes in Computer Science - Pattern Recognition Applications and Methods ◽

10.1007/978-3-319-25530-9_5 ◽

2015 ◽

pp. 62-76

Author(s):

Takumi Kobayashi ◽

Kenji Nishida

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An Efficient Shape Feature Extraction, Description and Matching Method Using GPU

Lecture Notes in Computer Science - Pattern Recognition Applications and Methods ◽

10.1007/978-3-319-25530-9_14 ◽

2015 ◽

pp. 206-221

Author(s):

Leonardo Chang ◽

Miguel Arias-Estrada ◽

José Hernández-Palancar ◽

L. Enrique Sucar

Keyword(s):

Feature Extraction ◽

Shape Feature ◽

Matching Method ◽

Shape Feature Extraction

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An Empirical Comparison of Support Vector Machines Versus Nearest Neighbour Methods for Machine Learning Applications

Lecture Notes in Computer Science - Pattern Recognition Applications and Methods ◽

10.1007/978-3-319-25530-9_8 ◽

2015 ◽

pp. 110-129

Author(s):

Mori Gamboni ◽

Abhijai Garg ◽

Oleg Grishin ◽

Seung Man Oh ◽

Francis Sowani ◽

...

Keyword(s):

Machine Learning ◽

Support Vector Machines ◽

Support Vector ◽

Nearest Neighbour ◽

Empirical Comparison ◽

Vector Machines ◽

Machine Learning Applications

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Kernel Matrix Completion for Learning Nearly Consensus Support Vector Machines

Lecture Notes in Computer Science - Pattern Recognition Applications and Methods ◽

10.1007/978-3-319-25530-9_7 ◽

2015 ◽

pp. 93-109

Author(s):

Sangkyun Lee ◽

Christian Pölitz

Keyword(s):

Support Vector Machines ◽

Matrix Completion ◽

Support Vector ◽

Kernel Matrix ◽

Vector Machines

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Fuzzy C-Means Stereo Segmentation

Lecture Notes in Computer Science - Pattern Recognition Applications and Methods ◽

10.1007/978-3-319-25530-9_3 ◽

2015 ◽

pp. 35-49

Author(s):

Michal Krumnikl ◽

Eduard Sojka ◽

Jan Gaura

Keyword(s):

Fuzzy C Means

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Aggregation of Biclustering Solutions for Ensemble Approach

Lecture Notes in Computer Science - Pattern Recognition Applications and Methods ◽

10.1007/978-3-319-25530-9_2 ◽

2015 ◽

pp. 19-34

Author(s):

Blaise Hanczar ◽

Mohamed Nadif

Keyword(s):

Ensemble Approach

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Multiple Image Segmentation

Lecture Notes in Computer Science - Pattern Recognition Applications and Methods ◽

10.1007/978-3-319-25530-9_1 ◽

2015 ◽

pp. 3-18

Author(s):

Jonathan Smets ◽

Manfred Jaeger

Keyword(s):

Image Segmentation ◽

Multiple Image

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Intra-class Variance Among Multiple Samples of the Same Person’s Fingerprint in a Cooperative User Scenario

Lecture Notes in Computer Science - Pattern Recognition Applications and Methods ◽

10.1007/978-3-319-25530-9_6 ◽

2015 ◽

pp. 77-92

Author(s):

Vedrana Krivokuća ◽

Waleed Abdulla

Keyword(s):

User Scenario ◽

Multiple Samples

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Fast and Accurate Pedestrian Detection in a Truck’s Blind Spot Camera

Lecture Notes in Computer Science - Pattern Recognition Applications and Methods ◽

10.1007/978-3-319-25530-9_12 ◽

2015 ◽

pp. 179-195

Author(s):

Kristof Van Beeck ◽

Toon Goedemé

Keyword(s):

Pedestrian Detection ◽

Blind Spot

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Lecture Notes in Computer Science - Pattern Recognition Applications and MethodsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

SCHOG Feature for Pedestrian Detection

Learning Prior Bias in Classifier

An Efficient Shape Feature Extraction, Description and Matching Method Using GPU

An Empirical Comparison of Support Vector Machines Versus Nearest Neighbour Methods for Machine Learning Applications

Kernel Matrix Completion for Learning Nearly Consensus Support Vector Machines

Fuzzy C-Means Stereo Segmentation

Aggregation of Biclustering Solutions for Ensemble Approach

Multiple Image Segmentation

Intra-class Variance Among Multiple Samples of the Same Person’s Fingerprint in a Cooperative User Scenario

Fast and Accurate Pedestrian Detection in a Truck’s Blind Spot Camera

Lecture Notes in Computer Science - Pattern Recognition Applications and Methods
Latest Publications