國立虎尾科技大學 |

Pattern Recognition = 40th German Conference, GCPR 2018, Stuttgart, Germany, October 9-12, 2018, Proceedings /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Pattern Recognition/ edited by Thomas Brox, Andrés Bruhn, Mario Fritz.
其他題名:	40th German Conference, GCPR 2018, Stuttgart, Germany, October 9-12, 2018, Proceedings /
其他作者:	Brox, Thomas.
面頁冊數:	XV, 717 p. 333 illus., 241 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Pattern recognition. -
電子資源:	https://doi.org/10.1007/978-3-030-12939-2
ISBN:	9783030129392

Pattern Recognition = 40th German Conference, GCPR 2018, Stuttgart, Germany, October 9-12, 2018, Proceedings /
Pattern Recognition40th German Conference, GCPR 2018, Stuttgart, Germany, October 9-12, 2018, Proceedings /[electronic resource] :edited by Thomas Brox, Andrés Bruhn, Mario Fritz. - 1st ed. 2019. - XV, 717 p. 333 illus., 241 illus. in color.online resource. - Image Processing, Computer Vision, Pattern Recognition, and Graphics ;11269. - Image Processing, Computer Vision, Pattern Recognition, and Graphics ;9219.

Topology-Based 3D Reconstruction of Mid-level Primitives in Man-Made Environments -- Associative Deep Clustering: Training a Classification Network with No Labels -- A Table Tennis Robot System Using An Industrial KUKA Robot Arm -- View-Aware Person Re-Identification -- MC2SLAM: Real-Time Inertial Lidar Odometry Using Two-Scan Motion Compensation -- An Analysis by Synthesis Approach for Automatic Vertebral Shape Identification in Clinical QCT -- Parcel Tracking in Large Camera Networks -- Segmentation of Head and Neck Organs at Risk Using CNN with Batch Dice Loss -- Detection of Mechanical Damages in Sawn Timber Using Convolutional Neural Networks -- Compressed-Domain Video Object Tracking Using Markov Random Fields with Graph Cuts Optimization -- Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Image Registration -- Multi-view X-ray R-CNN -- Ex Paucis Plura: Learning Accordance Segmentation from Very Few Examples -- Domain Generalization with Domain-Specific Aggregation Modules -- X-GAN: Improving Generative Adversarial Networks with ConveX Combinations -- A Randomized Gradient-free Attack to ReLU Networks -- Cross and Learn: Cross-Modal Self-Supervision -- KS(conf): A Light-Weight Test if A ConvNet Operates Outside of Its Specifications -- Sublabel-accurate Convex Relaxation with Total Generalized Variation Regularization -- On the Integration of Optical Flow and Action Recognition -- Context-driven Multi-stream LSTM (M-LSTM) for Recognizing Fine-Grained Activity of Drivers -- 3D Fluid Flow Estimation with Integrated Particle Reconstruction -- NRST: Non-rigid Surface Tracking from Monocular Video -- Counting the Uncountable: Deep Semantic Density Estimation from Space -- Acquire, Augment, Segment and Enjoy: Weakly Supervised Instance Segmentation of Supermarket Products -- Vehicle Re-Identification in Context -- Low-Shot Learning of Plankton Categories -- Multimodal Dense Stereo Matching -- Deep Distance Transform to Segment Visually Indistinguishable Merged Objects -- Multi-class Cell Segmentation Using CNNs with F1-measure Loss Function -- Improved Semantic Stixels Via Multimodal Sensor Fusion -- Convolve, Attend and Spell: An Attention-based Sequence-to-Sequence Model for Handwritten Word Recognition -- Illumination Estimation Is Sufficient for Indoor-Outdoor Image Classification -- DeepKey: Towards End-to-End Physical Key Replication from a Single Photograph -- Deriving Neural Network Architectures Using Precision Learning: Parallel-to-fan Beam Conversion -- Detecting Face Morphing Attacks by Analyzing the Directed Distances of Facial Landmarks Shifts -- KloudNet: Deep Learning for Sky Image Analysis and Irradiance Forecasting -- Learning Style Compatibility for Furniture -- Temporal Interpolation as An Unsupervised Pretraining Task for Optical Flow Estimation -- Decoupling Respiratory and Angular Variation in Rotational X-ray Scans Using a Prior Bilinear Model -- Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs -- End-to-end Learning of Deterministic Decision Trees -- Taming the Cross Entropy Loss -- Supervised Deep Kriging for Single-Image Super-Resolution -- Information-Theoretic Active Learning for Content-Based Image Retrieval -- AFSI: Adaptive Restart for Fast Semi-Iterative Schemes for Convex Optimization -- Invexity Preserving Transformations for Projection Free Optimization with Sparsity Inducing Non-Convex Constraints -- Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment. .

This book constitutes the refereed proceedings of the 40th German Conference on Pattern Recognition, GCPR 2018, held in Stuttgart, Germany, in October 2018. The 48 revised full papers presented were carefully reviewed and selected from 118 submissions. The German Conference on Pattern Recognition is the annual symposium of the German Association for Pattern Recognition (DAGM). It is the national venue for recent advances in image processing, pattern recognition, and computer vision and it follows the long tradition of the DAGM conference series, which has been renamed to GCPR in 2013 to reflect its increasing internationalization. In 2018 in Stuttgart, the conference series celebrated its 40th anniversary.

ISBN: 9783030129392

Standard No.: 10.1007/978-3-030-12939-2doiSubjects--Topical Terms:

1253525
Pattern recognition.

LC Class. No.: Q337.5

Dewey Class. No.: 006.4

Pattern Recognition = 40th German Conference, GCPR 2018, Stuttgart, Germany, October 9-12, 2018, Proceedings /
LDR:05786nam a22004215i 4500 001 1008268
003 DE-He213
005 20200728011624.0
007 cr nn 008mamaa
008 210106s2019 gw | s |||| 0|eng d
020 $a 9783030129392 $9 978-3-030-12939-2
024 7 $a 10.1007/978-3-030-12939-2 $2 doi
035 $a 978-3-030-12939-2
050 4 $a Q337.5
050 4 $a TK7882.P3
072 7 $a UYQP $2 bicssc
072 7 $a COM016000 $2 bisacsh
072 7 $a UYQP $2 thema
082 0 4 $a 006.4 $2 23
245 1 0 $a Pattern Recognition $h [electronic resource] : $b 40th German Conference, GCPR 2018, Stuttgart, Germany, October 9-12, 2018, Proceedings / $c edited by Thomas Brox, Andrés Bruhn, Mario Fritz.
250 $a 1st ed. 2019.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a XV, 717 p. 333 illus., 241 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Image Processing, Computer Vision, Pattern Recognition, and Graphics ; $v 11269
505 0 $a Topology-Based 3D Reconstruction of Mid-level Primitives in Man-Made Environments -- Associative Deep Clustering: Training a Classification Network with No Labels -- A Table Tennis Robot System Using An Industrial KUKA Robot Arm -- View-Aware Person Re-Identification -- MC2SLAM: Real-Time Inertial Lidar Odometry Using Two-Scan Motion Compensation -- An Analysis by Synthesis Approach for Automatic Vertebral Shape Identification in Clinical QCT -- Parcel Tracking in Large Camera Networks -- Segmentation of Head and Neck Organs at Risk Using CNN with Batch Dice Loss -- Detection of Mechanical Damages in Sawn Timber Using Convolutional Neural Networks -- Compressed-Domain Video Object Tracking Using Markov Random Fields with Graph Cuts Optimization -- Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Image Registration -- Multi-view X-ray R-CNN -- Ex Paucis Plura: Learning Accordance Segmentation from Very Few Examples -- Domain Generalization with Domain-Specific Aggregation Modules -- X-GAN: Improving Generative Adversarial Networks with ConveX Combinations -- A Randomized Gradient-free Attack to ReLU Networks -- Cross and Learn: Cross-Modal Self-Supervision -- KS(conf): A Light-Weight Test if A ConvNet Operates Outside of Its Specifications -- Sublabel-accurate Convex Relaxation with Total Generalized Variation Regularization -- On the Integration of Optical Flow and Action Recognition -- Context-driven Multi-stream LSTM (M-LSTM) for Recognizing Fine-Grained Activity of Drivers -- 3D Fluid Flow Estimation with Integrated Particle Reconstruction -- NRST: Non-rigid Surface Tracking from Monocular Video -- Counting the Uncountable: Deep Semantic Density Estimation from Space -- Acquire, Augment, Segment and Enjoy: Weakly Supervised Instance Segmentation of Supermarket Products -- Vehicle Re-Identification in Context -- Low-Shot Learning of Plankton Categories -- Multimodal Dense Stereo Matching -- Deep Distance Transform to Segment Visually Indistinguishable Merged Objects -- Multi-class Cell Segmentation Using CNNs with F1-measure Loss Function -- Improved Semantic Stixels Via Multimodal Sensor Fusion -- Convolve, Attend and Spell: An Attention-based Sequence-to-Sequence Model for Handwritten Word Recognition -- Illumination Estimation Is Sufficient for Indoor-Outdoor Image Classification -- DeepKey: Towards End-to-End Physical Key Replication from a Single Photograph -- Deriving Neural Network Architectures Using Precision Learning: Parallel-to-fan Beam Conversion -- Detecting Face Morphing Attacks by Analyzing the Directed Distances of Facial Landmarks Shifts -- KloudNet: Deep Learning for Sky Image Analysis and Irradiance Forecasting -- Learning Style Compatibility for Furniture -- Temporal Interpolation as An Unsupervised Pretraining Task for Optical Flow Estimation -- Decoupling Respiratory and Angular Variation in Rotational X-ray Scans Using a Prior Bilinear Model -- Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs -- End-to-end Learning of Deterministic Decision Trees -- Taming the Cross Entropy Loss -- Supervised Deep Kriging for Single-Image Super-Resolution -- Information-Theoretic Active Learning for Content-Based Image Retrieval -- AFSI: Adaptive Restart for Fast Semi-Iterative Schemes for Convex Optimization -- Invexity Preserving Transformations for Projection Free Optimization with Sparsity Inducing Non-Convex Constraints -- Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment. .
520 $a This book constitutes the refereed proceedings of the 40th German Conference on Pattern Recognition, GCPR 2018, held in Stuttgart, Germany, in October 2018. The 48 revised full papers presented were carefully reviewed and selected from 118 submissions. The German Conference on Pattern Recognition is the annual symposium of the German Association for Pattern Recognition (DAGM). It is the national venue for recent advances in image processing, pattern recognition, and computer vision and it follows the long tradition of the DAGM conference series, which has been renamed to GCPR in 2013 to reflect its increasing internationalization. In 2018 in Stuttgart, the conference series celebrated its 40th anniversary.
650 0 $a Pattern recognition. $3 1253525
650 0 $a Optical data processing. $3 639187
650 0 $a Artificial intelligence. $3 559380
650 0 $a Computer communication systems. $3 1115394
650 0 $a Arithmetic and logic units, Computer. $3 1255170
650 1 4 $a Pattern Recognition. $3 669796
650 2 4 $a Image Processing and Computer Vision. $3 670819
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Computer Communication Networks. $3 669310
650 2 4 $a Arithmetic and Logic Structures. $3 672631
700 1 $a Brox, Thomas. $e editor. $1 https://orcid.org/0000-0002-6282-8861 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1302072
700 1 $a Bruhn, Andrés. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1302073
700 1 $a Fritz, Mario. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 792788
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030129385
776 0 8 $i Printed edition: $z 9783030129408
830 0 $a Image Processing, Computer Vision, Pattern Recognition, and Graphics ; $v 9219 $3 1253644
856 4 0 $u https://doi.org/10.1007/978-3-030-12939-2
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)