nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A convex formulation for multiple ordinal output classification
|
Ma, Zhongchen |
|
2019 |
86 |
C |
p. 73-84 |
artikel |
2 |
A selectional auto-encoder approach for document image binarization
|
Calvo-Zaragoza, Jorge |
|
2019 |
86 |
C |
p. 37-47 |
artikel |
3 |
Attention driven person re-identification
|
Yang, Fan |
|
2019 |
86 |
C |
p. 143-155 |
artikel |
4 |
Bayesian denoising hashing for robust image retrieval
|
Wang, Dong |
|
2019 |
86 |
C |
p. 134-142 |
artikel |
5 |
Clustering as physically inspired energy minimization
|
Yang, Huiguang |
|
2019 |
86 |
C |
p. 265-280 |
artikel |
6 |
Cost-sensitive classifier chains: Selecting low-cost features in multi-label classification
|
Teisseyre, Paweł |
|
2019 |
86 |
C |
p. 290-319 |
artikel |
7 |
Cross-spectral iris recognition using CNN and supervised discrete hashing
|
Wang, Kuo |
|
2019 |
86 |
C |
p. 85-98 |
artikel |
8 |
Editorial Board
|
|
|
2019 |
86 |
C |
p. ii |
artikel |
9 |
Efficient algorithms for graph regularized PLSA for probabilistic topic modeling
|
Wang, Xin |
|
2019 |
86 |
C |
p. 236-247 |
artikel |
10 |
Fractional-order orthogonal Chebyshev Moments and Moment Invariants for image representation and pattern recognition
|
Benouini, Rachid |
|
2019 |
86 |
C |
p. 332-343 |
artikel |
11 |
From aging to early-stage Alzheimer's: Uncovering handwriting multimodal behaviors by semi-supervised learning and sequential representation learning
|
El-Yacoubi, Mounîm A. |
|
2019 |
86 |
C |
p. 112-133 |
artikel |
12 |
Information extraction from historical handwritten document images with a context-aware neural model
|
Toledo, J. Ignacio |
|
2019 |
86 |
C |
p. 27-36 |
artikel |
13 |
Landmark-based algorithms for group average and pattern recognition
|
Huzurbazar, Snehalata |
|
2019 |
86 |
C |
p. 172-187 |
artikel |
14 |
Learning principal orientations and residual descriptor for action recognition
|
Chen, Lei |
|
2019 |
86 |
C |
p. 14-26 |
artikel |
15 |
Learning structured and non-redundant representations with deep neural networks
|
Yang, Jihai |
|
2019 |
86 |
C |
p. 224-235 |
artikel |
16 |
Manga face detection based on deep neural networks fusing global and local information
|
Chu, Wei-Ta |
|
2019 |
86 |
C |
p. 62-72 |
artikel |
17 |
Multi-label learning of part detectors for occluded pedestrian detection
|
Zhou, Chunluan |
|
2019 |
86 |
C |
p. 99-111 |
artikel |
18 |
Multi-modal fusion network with multi-scale multi-path and cross-modal interactions for RGB-D salient object detection
|
Chen, Hao |
|
2019 |
86 |
C |
p. 376-385 |
artikel |
19 |
Multi-view intact space clustering
|
Huang, Ling |
|
2019 |
86 |
C |
p. 344-353 |
artikel |
20 |
Nonlinear regression via incremental decision trees
|
Vanli, N. Denizcan |
|
2019 |
86 |
C |
p. 1-13 |
artikel |
21 |
OFS-Density: A novel online streaming feature selection method
|
Zhou, Peng |
|
2019 |
86 |
C |
p. 48-61 |
artikel |
22 |
Scene wireframes sketching for Unmanned Aerial Vehicles
|
Santos, Roi |
|
2019 |
86 |
C |
p. 354-367 |
artikel |
23 |
Shall deep learning be the mandatory future of document analysis problems?
|
Vincent, Nicole |
|
2019 |
86 |
C |
p. 281-289 |
artikel |
24 |
Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images
|
Hou, Le |
|
2019 |
86 |
C |
p. 188-200 |
artikel |
25 |
SPM-SLAM: Simultaneous localization and mapping with squared planar markers
|
Muñoz-Salinas, Rafael |
|
2019 |
86 |
C |
p. 156-171 |
artikel |
26 |
Symmetry-adapted representation learning
|
Anselmi, Fabio |
|
2019 |
86 |
C |
p. 201-208 |
artikel |
27 |
Texture analysis for muscular dystrophy classification in MRI with improved class activation mapping
|
Cai, Jinzheng |
|
2019 |
86 |
C |
p. 368-375 |
artikel |
28 |
Unsupervised Multi-task Learning with Hierarchical Data Structure
|
Cao, Wenming |
|
2019 |
86 |
C |
p. 248-264 |
artikel |
29 |
Unsupervised online clustering and detection algorithms using crowdsourced data for malaria diagnosis
|
Pagès-Zamora, Alba |
|
2019 |
86 |
C |
p. 209-223 |
artikel |
30 |
Visualization and machine learning analysis of complex networks in hyperspherical space
|
Pereda, María |
|
2019 |
86 |
C |
p. 320-331 |
artikel |