Suchergebnisse - compression segmentation _ dimensional ((((problems fast) or (problems from))) or (problem linear))

1

Proceedings of the Third International Conference on Soft Computing for Problem Solving SocProS 2013, Volume 2 /

Veröffentlicht 2014

Inhaltsangabe: “... for Data Clustering -- Fast Marching Method to Study Travel Time Responses of Three Dimensional Numerical...”
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2

Computer Analysis of Images and Patterns 11th International Conference, CAIP 2005, Versailles, France, September 5-8, 2005, Proceedings /

Veröffentlicht 2005

Inhaltsangabe: “... -- Method for Automatically Segmenting the Spinal Cord and Canal from 3D CT Images -- Vehicle Area...”
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3

Advances in Visual Computing First International Symposium, ISVC 2005, Lake Tahoe, NV, USA, December 5-7, 2005, Proceedings /

Veröffentlicht 2005

Inhaltsangabe: “... for Segmentation and Topology Recovery of the Cerebral Superficial Venous Tree -- Loop Removal from Colon Central...”
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4

Pattern Recognition 27th DAGM Symposium, Vienna, Austria, August 31 - September 2, 2005, Proceedings /

Veröffentlicht 2005

Inhaltsangabe: “... and Tracking in Compressed Videos -- Nonlinear Body Pose Estimation from Depth Images -- Computational Learning...”
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5

Computer Vision -- ECCV 2010 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part VI /

Veröffentlicht 2010

Inhaltsangabe: “... Urban Location Recognition as a 2D Homothetic Problem -- Recursive Coarse-to-Fine Localization for Fast...”
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6

Image and Signal Processing 4th International Conference, ICISP 2010, Québec, Canada, June 30 - July 2, 2010. Proceedings /

Veröffentlicht 2010

Inhaltsangabe: “... Multispectral Image Compression Method -- Zoom Based Super-Resolution: A Fast Approach Using Particle Swarm...”
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7

Pattern Recognition and Image Analysis Third Iberian Conference, IbPRIA 2007, Girona, Spain, June 6-8, 2007, Proceedings, Part II /

Veröffentlicht 2007

Inhaltsangabe: “... Detection Using Two-Dimensional PCA -- A Fast and Robust Iris Segmentation Method -- Detection of Lung...”
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8

Progress in Pattern Recognition, Image Analysis and Applications 11th Iberoamerican Congress on Pattern Recognition, CIARP 2006, Cancún, Mexico, November 14-17, 2006, Proce...

Veröffentlicht 2006

Inhaltsangabe: “... of Two Linear Dimensionality Reduction Techniques -- A New Approach to Multi-class Linear Dimensionality...”
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9

Computer Vision - ECCV 2008 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008. Proceedings, Part II /

Veröffentlicht 2008

Inhaltsangabe: “... for Background Subtraction -- Robust 3D Pose Estimation and Efficient 2D Region-Based Segmentation from a 3D...”
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10

Advances in Biometric Person Authentication 5th Chinese Conference on Biometric Recognition, SINOBIOMETRICS 2004, Guangzhou, China, December 13-14, 2004, Proceedings /

Veröffentlicht 2005

Inhaltsangabe: “... Linear Discriminant Analysis for Solving Small Sample Size Problem in Face Recognition -- Fast...”
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11

Artificial Intelligence and Soft Computing 14th International Conference, ICAISC 2015, Zakopane, Poland, June 14-18, 2015, Proceedings, Part I /

Veröffentlicht 2015

Inhaltsangabe: “... for three-dimensional bin packing Problem -- Adaptive Differential Evolution: SHADE with Competing Crossover...”
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12

Image Analysis and Recognition 12th International Conference, ICIAR 2015, Niagara Falls, ON, Canada, July 22-24, 2015, Proceedings /

Veröffentlicht 2015

Inhaltsangabe: “... Improvement for Depth from Small Irregular Camera Motions and Its Performance Evaluation. Fast and Robust...”
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13

Intelligent Science and Intelligent Data Engineering Third Sino-foreign-interchange Workshop, IScIDE 2012, Nanjing, China, October 15-17, 2012, Revised Selected Papers /

Veröffentlicht 2013

Inhaltsangabe: “... the Age of Healthy Adults from Structural MRI by Sparse Representation -- A Multi-dimensional Data...”
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14

Progress in Systems Engineering Proceedings of the Twenty-Third International Conference on Systems Engineering /

Veröffentlicht 2015

Inhaltsangabe: “... Constraints and Sub-Dimensional Clustering for Fast Similarity Search over Time Series Data. Application...”
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