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68u05 (41) 41
mathematical models (41) 41
computer science, theory & methods (40) 40
interpolation (40) 40
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splines (33) 33
studies (33) 33
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approximation (31) 31
65d18 (30) 30
41a15 (29) 29
curves (28) 28
polynomials (28) 28
construction (25) 25
research (22) 22
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appl.mathematics/computational methods of engineering (20) 20
b-splines (18) 18
subdivision (18) 18
surfaces (18) 18
visualization (18) 18
geometry (17) 17
mathematical and computational biology (17) 17
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theoretical, mathematical and computational physics (17) 17
[ math.math-na ] mathematics [math]/numerical analysis [math.na] (16) 16
bases (16) 16
computational science and engineering (16) 16
mathematical applications in computer science (16) 16
mathematical applications in the physical sciences (16) 16
smoothness (16) 16
blossoms (15) 15
calculus of variations and optimal control; optimization (15) 15
spaces (15) 15
65d15 (14) 14
computer science, artificial intelligence (14) 14
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41a50 (13) 13
curvature (13) 13
total positivity (13) 13
computation (12) 12
computer science, software engineering (12) 12
extended chebyshev spaces (12) 12
hermite interpolation (12) 12
mathematical research (12) 12
numerical controls (12) 12
41a25 (11) 11
bezier curves (11) 11
computerscience (11) 11
mathematical methods in physics (11) 11
shape parameter (11) 11
stability (11) 11
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schemes (10) 10
subdivision schemes (10) 10
basis functions (9) 9
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knot insertion (9) 9
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b-spline (7) 7
computational mathematics (7) 7
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linear and multilinear algebras, matrix theory (7) 7
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Pattern Recognition Letters, ISSN 0167-8655, 09/2018, Volume 112, pp. 290 - 296
•Automatic segmentation of multiple organs using auto-context.•Auto-context extended using integral context features and adaptive atlases.•Evaluation on image... 
Auto-context | Atlas-based segmentation | Automated inspection | Multi-class segmentation | MODEL | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | 41A10 | 65D05 | 65D17 | 41A05
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 06/2019, Volume 124, pp. 55 - 62
•Evaluated “frontalness” of planar objects using objective space error.•Identified that a true image can reproduce other non-frontal images.•Does not require... 
Frontalness | Planar object | Content selection | Pose-based query | Pose estimation | 41A10 | 65D05 | 65D17 | 41A05 | Video recordings | Usage | Images
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 09/2017, Volume 96, pp. 106 - 112
•We propose a motion-guided filter to improve the performance of pedestrian detectors.•Our filter can adjust its size according to the likelihood of having a... 
Video surveillance | Pedestrian detection | Motion history image | Nonlinear filtering | 41A10 | 65D05 | 65D17 | 41A05 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Information science | Usage
Journal Article
Experimental Mathematics, ISSN 1058-6458, 01/1993, Volume 2, Issue 1, pp. 15 - 36
We present a new algorithm to compute stable discrete minimal surfaces bounded by a number of fixed or free boundary curves in R 3 , S 3 and H 3 . The... 
53A10 | 65D17 | 49Q05 | 58E12
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 05/2017, Volume 91, pp. 44 - 51
•A novel approach for fast iris recognition on mobile devices is presented.•FIRE is a multi-classifier composed by a colour descriptor, a texture descriptor... 
Noisy iris recognition | MICHE II | Fast iris recognition | Visible light | Multi-classifier | MICHE DB | 41A10 | 65D05 | 65D17 | 41A05 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Cellular telephones | Analysis | Biometry | Algorithms
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 03/2019, Volume 119, pp. 205 - 213
•A dedicate network structure is presented to regress 3D hand pose from a single depth image.•We discuss the effect of the ConvNet depth on its accuracy under... 
Depth image | Low-dimensional embedding | Hand pose estimation | Deep convolutional network | Batch normalization | 41A10 | 65D05 | 65D17 | 41A05 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Embedding | Maps | Post-processing | Robustness (mathematics) | Images | Artificial neural networks
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 03/2019, Volume 119, pp. 86 - 93
•Motion blur kernel size is a significant input parameter of deblurring algorithms.•A regression CNN is proposed to estimate the kernel size of a blurry... 
Deep learning | Image deblurring | Kernel size estimation | Convolutional neural network | 41A10 | 65D05 | 65D17 | 41A05 | IMAGES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Kernels | Pictures | Parameter estimation | Algorithms | Computer simulation | Neural networks | Artificial neural networks | Image restoration
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 03/2019, Volume 119, pp. 94 - 102
•A novel automatic labeling method for handwritten data is proposed.•Proposed method significantly reduces the dependence on labeled data.•Proposed gate... 
Path signature | Gate guided | Handwritten characters | Automatic labeling | 41A10 | 65D05 | 65D17 | 41A05 | ONLINE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Labeling | Neural networks | Errors | Handwriting | Machine learning | Artificial neural networks | Labelling | Labels
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 03/2019, Volume 119, pp. 131 - 138
•We decompose sEMG image into multiple streams by the electrodes layout to model correlation between muscles and gestures.•A two-stage multi-stream CNN... 
Deep learning | Muscle-computer interface | Surface electromyography | Convolutional neural network | Gesture recognition | 41A10 | 65D05 | 65D17 | 41A05 | SCHEME | CLASSIFICATION | HAND | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Computer science | Neural networks | Analysis | Feature maps | Artificial neural networks | Machine learning | Muscles | Electromyography | Decomposition | Streams | EMG
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 06/2019, Volume 124, pp. 2 - 20
•Maximal Correlation Coefficient and Monotone correlation coefficient.•Information theoretic: mutual information, its cousins and metric forms.•Cooccurrence... 
Subspace classifiers | Maximal correlation | Mutual information | 41A10 | 65D05 | 65D17 | 41A05 | Classifiers | Correlation coefficients | Conditional probability | Subspace methods | Pixels | Classification | Dependence | Mathematical models | Random variables | Graphical representations | Subspaces | Comparative analysis | Information theory
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 02/2019, Volume 118, pp. 23 - 31
•We propose trainable feature extractors for representation of skeleton poses.•We employ the proposed feature extractor for classification of human actions.•We... 
65D05 | 65D17 | 41A05 | 41A10 | MOTION | COSFIRE FILTERS | VESSEL DELINEATION | MODEL | To be checked by Faculty | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Computer science | Electrical engineering | Human acts | Machine vision | Analysis | Human behavior | Robotics | Computer vision | Extractors | Human motion | Older people | Activity recognition | Feature extraction | Representations | Geriatrics
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 03/2019, Volume 119, pp. 222 - 228
•A new framework D-STC combing Faster R-CNN with spatio-temporal constraints is introduced for the train driver detection.•The D-STC has good compatibility,... 
Deep learning | Spatio-temporal constraints | Train driver detection | Dynamic adjustment | 41A10 | 65D05 | 65D17 | 41A05 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Video recordings | Detectors | Temporal discrimination learning | Safety management | Machine learning | Object recognition | Regularization | Monitoring | Image detection
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 07/2017, Volume 93, pp. 69 - 77
•Application of data subset approaches for scaling-up multiobjective clustering.•Proposal and analysis of three different stratification strategies.•Comparison... 
Multiobjective evolutionary algorithms | Clustering | Stratification | Scaling-Up | 41A10 | 65D05 | 65D17 | 41A05 | DATA SETS | STATISTICAL COMPARISONS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | CLASSIFIERS | Analysis | Algorithms | Hospitality industry | Usage
Journal Article
Archiv der Mathematik, ISSN 0003-889X, 2/2017, Volume 108, Issue 2, pp. 197 - 207
We present in this paper new necessary and sufficient conditions for convergence of multivariate subdivision schemes with nonnegative finite masks, which... 
Nonnegative mask | 39B12 | Mathematics, general | 65D17 | Mathematics | 26A18 | Subdivision scheme | Convergence | MATHEMATICS | REFINEMENT EQUATIONS | SPECTRAL-RADIUS
Journal Article
Journal of Inequalities and Applications, ISSN 1025-5834, 12/2019, Volume 2019, Issue 1, pp. 1 - 13
In this paper we study the curvature term for the Lagrange and PPH (Amat et al. in Found. Comput. Math. 6:193–225, 2006 and Ortiz and Trillo in Preprint,... 
Approximation | Mathematics | Nonuniform grids | Interpolation | Analysis | 41A10 | Mathematics, general | 65D17 | Nonlinearity | Applications of Mathematics | 41A05 | Curvature | Reconstruction operator | MATHEMATICS | MATHEMATICS, APPLIED | Reconstruction | Splines
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 03/2019, Volume 119, pp. 172 - 179
•We propose a Simultaneous Contour and Symmetry Detection Network (SCSDN).•We propose Similarity Adaptive Search (SAS) to generate object bounding boxes.•We... 
FCN | Proposal scoring | Super-pixel grouping | Object proposal | 41A10 | 65D05 | 65D17 | 41A05 | GRADIENTS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Machine vision | Analysis | Shape | Redundancy | Symmetry detection | Proposals | Object recognition | Visual tasks | Contours | Computer applications | Recall | Localization | Computing time | Bayesian analysis | Symmetry
Journal Article
Journal of Computational and Applied Mathematics, ISSN 0377-0427, 11/2018, Volume 342, pp. 550 - 586
We consider piecewise Chebyshevian splines, in the sense of splines with pieces taken from any different five-dimensional Extended Chebyshev spaces, and with... 
Extended Chebyshev spaces | Generalised derivatives | Geometric design | Blossoms | Shape parameters | Bernstein-type bases | B-spline bases | Total positivity | EXISTENCE | MATHEMATICS, APPLIED | DESIGN | SCHOENBERG OPERATORS | ALGORITHMS | MUNTZ SPACES | CURVES | INTERPOLATION | MULTI-DEGREE SPLINES | SYSTEMS | Mathematics
Journal Article