Lecture Notes in Computer Science - Pattern Recognition
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Published By Springer Berlin Heidelberg

9783642406010, 9783642406027

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes

Lecture Notes in Computer Science - Pattern Recognition ◽

10.1007/978-3-642-40602-7_31 ◽

2013 ◽

pp. 282-291 ◽

Author(s):

Alexander Freytag ◽

Erik Rodner ◽

Paul Bodesheim ◽

Joachim Denzler

Keyword(s):

Active Learning ◽

Gaussian Processes

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Discriminative Detection and Alignment in Volumetric Data

Lecture Notes in Computer Science - Pattern Recognition ◽

10.1007/978-3-642-40602-7_21 ◽

2013 ◽

pp. 205-214 ◽

Author(s):

Dominic Mai ◽

Philipp Fischer ◽

Thomas Blein ◽

Jasmin Dürr ◽

Klaus Palme ◽

...

Keyword(s):

Volumetric Data

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Synthesizing Real World Stereo Challenges

Lecture Notes in Computer Science - Pattern Recognition ◽

10.1007/978-3-642-40602-7_17 ◽

2013 ◽

pp. 164-173 ◽

Author(s):

Ralf Haeusler ◽

Daniel Kondermann

Keyword(s):

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Framework for Generation of Synthetic Ground Truth Data for Driver Assistance Applications

Lecture Notes in Computer Science - Pattern Recognition ◽

10.1007/978-3-642-40602-7_35 ◽

2013 ◽

pp. 323-332 ◽

Author(s):

Vladimir Haltakov ◽

Christian Unger ◽

Slobodan Ilic

Keyword(s):

Ground Truth ◽

Driver Assistance ◽

Ground Truth Data

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Automatic Level Set Based Cerebral Vessel Segmentation and Bone Removal in CT Angiography Data Sets

Lecture Notes in Computer Science - Pattern Recognition ◽

10.1007/978-3-642-40602-7_25 ◽

2013 ◽

pp. 237-242 ◽

Author(s):

Stephanie Behrens

Keyword(s):

Ct Angiography ◽

Level Set ◽

Vessel Segmentation ◽

Data Sets ◽

Cerebral Vessel ◽

Bone Removal ◽

Automatic Level

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Pedestrian Path Prediction with Recursive Bayesian Filters: A Comparative Study

Lecture Notes in Computer Science - Pattern Recognition ◽

10.1007/978-3-642-40602-7_18 ◽

2013 ◽

pp. 174-183 ◽

Author(s):

Nicolas Schneider ◽

Dariu M. Gavrila

Keyword(s):

Comparative Study ◽

Path Prediction ◽

Recursive Bayesian ◽

Bayesian Filters

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Spatial Pattern Templates for Recognition of Objects with Regular Structure

Lecture Notes in Computer Science - Pattern Recognition ◽

10.1007/978-3-642-40602-7_39 ◽

2013 ◽

pp. 364-374 ◽

Author(s):

Radim Tyleček ◽

Radim Šára

Keyword(s):

Spatial Pattern ◽

Regular Structure ◽

Recognition Of Objects

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A Monte Carlo Strategy to Integrate Detection and Model-Based Face Analysis

Lecture Notes in Computer Science - Pattern Recognition ◽

10.1007/978-3-642-40602-7_11 ◽

2013 ◽

pp. 101-110 ◽

Author(s):

Sandro Schönborn ◽

Andreas Forster ◽

Bernhard Egger ◽

Thomas Vetter

Keyword(s):

Monte Carlo ◽

Face Analysis ◽

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Action Recognition with HOG-OF Features

Lecture Notes in Computer Science - Pattern Recognition ◽

10.1007/978-3-642-40602-7_26 ◽

2013 ◽

pp. 243-248 ◽

Author(s):

Florian Baumann

Keyword(s):

Action Recognition

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Structure from Motion Using Rigidly Coupled Cameras without Overlapping Views

Lecture Notes in Computer Science - Pattern Recognition ◽

10.1007/978-3-642-40602-7_2 ◽

2013 ◽

pp. 11-20 ◽

Author(s):

Sandro Esquivel ◽

Reinhard Koch

Keyword(s):

Structure From Motion

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