| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A fast robust geometric fitting method for parabolic curves
|
López-Rubio, Ezequiel
|
|
|
84 |
C |
p. 301-316
|
artikel
|
| 2 |
Affinity learning via a diffusion process for subspace clustering
|
Li, Qilin
|
|
|
84 |
C |
p. 39-50
|
artikel
|
| 3 |
Angular Radon spectrum for rotation estimation
|
Lodi Rizzini, Dario
|
|
|
84 |
C |
p. 182-196
|
artikel
|
| 4 |
A novel formulation of orthogonal polynomial kernel functions for SVM classifiers: The Gegenbauer family
|
Padierna, Luis Carlos
|
|
|
84 |
C |
p. 211-225
|
artikel
|
| 5 |
A novel framework for background subtraction and foreground detection
|
Zhang, Guian
|
|
|
84 |
C |
p. 28-38
|
artikel
|
| 6 |
A safe sample screening rule for Laplacian twin parametric-margin support vector machine
|
Yang, Zhiji
|
|
|
84 |
C |
p. 1-12
|
artikel
|
| 7 |
Binary Partition Tree construction from multiple features for image segmentation
|
Randrianasoa, Jimmy Francky
|
|
|
84 |
C |
p. 237-250
|
artikel
|
| 8 |
Circular mesh-based shape and margin descriptor for object detection
|
G., Malu
|
|
|
84 |
C |
p. 97-111
|
artikel
|
| 9 |
Conditional convolution neural network enhanced random forest for facial expression recognition
|
Liu, Yuanyuan
|
|
|
84 |
C |
p. 251-261
|
artikel
|
| 10 |
Correntropy-based robust multilayer extreme learning machines
|
Liangjun, Chen
|
|
|
84 |
C |
p. 357-370
|
artikel
|
| 11 |
Detection and classification of cancer in whole slide breast histopathology images using deep convolutional networks
|
Gecer, Baris
|
|
|
84 |
C |
p. 345-356
|
artikel
|
| 12 |
Distinctiveness, complexity, and repeatability of online signature templates
|
Sae-Bae, Napa
|
|
|
84 |
C |
p. 332-344
|
artikel
|
| 13 |
Editorial Board
|
|
|
|
84 |
C |
p. ii
|
artikel
|
| 14 |
Face recognition from multiple stylistic sketches: Scenarios, datasets, and evaluation
|
Peng, Chunlei
|
|
|
84 |
C |
p. 262-272
|
artikel
|
| 15 |
F-NSP
+
: A fast negative sequential patterns mining method with self-adaptive data storage
|
Dong, Xiangjun
|
|
|
84 |
C |
p. 13-27
|
artikel
|
| 16 |
Learning spatial relations and shapes for structural object description and scene recognition
|
Clément, Michaël
|
|
|
84 |
C |
p. 197-210
|
artikel
|
| 17 |
Learning visual and textual representations for multimodal matching and classification
|
Liu, Yu
|
|
|
84 |
C |
p. 51-67
|
artikel
|
| 18 |
Model-based learning for point pattern data
|
Vo, Ba-Ngu
|
|
|
84 |
C |
p. 136-151
|
artikel
|
| 19 |
MoE-SPNet: A mixture-of-experts scene parsing network
|
Fu, Huan
|
|
|
84 |
C |
p. 226-236
|
artikel
|
| 20 |
Morphological classifiers
|
Rodrigues, É.O.
|
|
|
84 |
C |
p. 82-96
|
artikel
|
| 21 |
Multi-view label embedding
|
Zhu, Pengfei
|
|
|
84 |
C |
p. 126-135
|
artikel
|
| 22 |
Online multi-label streaming feature selection based on neighborhood rough set
|
Liu, Jinghua
|
|
|
84 |
C |
p. 273-287
|
artikel
|
| 23 |
Parametric and nonparametric context models: A unified approach to scene parsing
|
Aliniya, Parvaneh
|
|
|
84 |
C |
p. 165-181
|
artikel
|
| 24 |
Robust one-class support vector machine with rescaled hinge loss function
|
Xing, Hong-Jie
|
|
|
84 |
C |
p. 152-164
|
artikel
|
| 25 |
Subject-Specific prior shape knowledge in feature-oriented probability maps for fully automatized liver segmentation in MR volume data
|
Gloger, Oliver
|
|
|
84 |
C |
p. 288-300
|
artikel
|
| 26 |
Using fuzzy least squares support vector machine with metric learning for object tracking
|
Zhang, Shunli
|
|
|
84 |
C |
p. 112-125
|
artikel
|
| 27 |
Weakly-supervised object detection via mining pseudo ground truth bounding-boxes
|
Zhang, Yongqiang
|
|
|
84 |
C |
p. 68-81
|
artikel
|
| 28 |
Wild patterns: Ten years after the rise of adversarial machine learning
|
Biggio, Battista
|
|
|
84 |
C |
p. 317-331
|
artikel
|
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