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ORCIDPattern Recognition Letters, Volume 129
Volume 129, January 2020
- Frank-Michael Schleif
, Christoph Raab, Peter Tiño:
Sparsification of core set models in non-metric supervised learning. 1-7 - Hyeon-gu Lee, Harksoo Kim:
GF-Net: Improving machine reading comprehension with feature gates. 8-15 - Francesc Serratosa:
A commentary on "Learning error-correcting graph matching with a multiclass neural network", Pattern Recognition Letters, 2018. 16-18 - Nicolas Boria, David B. Blumenthal, Sébastien Bougleux, Luc Brun:
Improved local search for graph edit distance. 19-25 - Chenlei Lv, Zhongke Wu, Xingce Wang, Dan Zhang, Mingquan Zhou:
Ethnicity classification by the 3D Discrete Landmarks Model measure in Kendall shape space. 26-32 - Dennis José da Silva, Wonder Alexandre Luz Alves, Ronaldo Fumio Hashimoto:
Incremental bit-quads count in component trees: Theory, algorithms, and optimization. 33-40 - Amin Fehri, Santiago Velasco-Forero, Fernand Meyer:
Combinatorial space of watershed hierarchies for image characterization. 41-47 - Guillaume Damiand, Florence Zara:
Merge-and-simplify operation for compact combinatorial pyramid definition. 48-55 - Eva Cetinic, Tomislav Lipic, Sonja Grgic:
Learning the Principles of Art History with convolutional neural networks. 56-62 - Michael Villamizar, Olivier Canévet, Jean-Marc Odobez:
Multi-scale sequential network for semantic text segmentation and localization. 63-69 - Rui Li, Gongping Yang, Kuikui Wang, Yuwen Huang, Feng Yuan, Yilong Yin:
Robust ECG biometrics using GNMF and sparse representation. 70-76 - Muhammad Attique Khan, Sadia Rubab, Asifa Kashif, Muhammad Imran Sharif, Muhammad Nazeer, Jamal Hussain Shah, Yu-Dong Zhang, Suresh Chandra Satapathy:
Lungs cancer classification from CT images: An integrated design of contrast based classical features fusion and selection. 77-85 - Xuemin Cheng, Changqing Dong, Yong Ren, Kaichang Cheng, Lei Yan, Yao Hu, Qun Hao:
Reduced data set for multi-target recognition using compressed sensing frame. 86-91 - Soumyadip Roy, Palaiahnakote Shivakumara, Umapada Pal, Tong Lu, Govindaraj Hemantha Kumar:
Delaunay triangulation based text detection from multi-view images of natural scene. 92-100 - Seongwook Yoon, Taehyeon Choi, Sanghoon Sull:
Depth estimation from stereo cameras through a curved transparent medium. 101-107 - Chen Du, Yanna Wang, Chunheng Wang, Cunzhao Shi, Baihua Xiao:
Selective feature connection mechanism: Concatenating multi-layer CNN features with a feature selector. 108-114 - Javaria Amin, Muhammad Sharif, Nadia Gul, Mussarat Yasmin, Shafqat Ali Shad:
Brain tumor classification based on DWT fusion of MRI sequences using convolutional neural network. 115-122 - Yao Tang, Lin Zhao, Shanshan Zhang, Chen Gong, Guangyu Li, Jian Yang:
Integrating prediction and reconstruction for anomaly detection. 123-130 - Károly Harsányi, Attila Kiss, Tamás Szirányi, Andras Majdik:
MASAT: A fast and robust algorithm for pose-graph initialization. 131-136 - Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca:
An end-to-end deep learning system for medieval writer identification. 137-143 - Bing Tu, Xianchang Yang, Nanying Li, Chengle Zhou, Danbing He:
Hyperspectral anomaly detection via density peak clustering. 144-149 - Muhammad Sharif, Javaria Amin, Mudassar Raza, Mussarat Yasmin, Suresh Chandra Satapathy:
An integrated design of particle swarm optimization (PSO) with fusion of features for detection of brain tumor. 150-157 - Anindita Mukherjee, Jaya Sil, Abhimanyu Sahu, Ananda S. Chowdhury:
A bag of constrained informative deep visual words for image retrieval. 158-165 - Marcella Cornia, Matteo Stefanini, Lorenzo Baraldi, Massimiliano Corsini, Rita Cucchiara:
Explaining digital humanities by aligning images and textual descriptions. 166-172 - Huanhou Xiao, Junwei Xu, Jinglun Shi:
Exploring diverse and fine-grained caption for video by incorporating convolutional architecture into LSTM-based model. 173-180 - Muhammad Irfan Sharif, Jian Ping Li, Muhammad Attique Khan, Muhammad Asim Saleem:
Active deep neural network features selection for segmentation and recognition of brain tumors using MRI images. 181-189 - Ji Gan, Weiqiang Wang, Ke Lu:
Compressing the CNN architecture for in-air handwritten Chinese character recognition. 190-197 - Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca:
What is the minimum training data size to reliably identify writers in medieval manuscripts? 198-204 - Rania Rebai Boukhriss, Emna Fendri, Mohamed Hammami:
Moving object detection under different weather conditions using full-spectrum light sources. 205-212 - Zied Selmi, Mohamed Ben Halima, Umapada Pal, Adel M. Alimi:
DELP-DAR system for license plate detection and recognition. 213-223 - Bohong Yang, Zeping Yao, Hong Lu, Yaqian Zhou, Jinkai Xu:
In-classroom learning analytics based on student behavior, topic and teaching characteristic mining. 224-231 - Georgios K. Ouzounis:
Segmentation strategies for the alpha-tree data structure. 232-239 - Hana Ali-Pacha, Naima Hadj-Said, Adda Ali-Pacha:
Data security based on homographic function. 240-246 - Xianxian Zeng, Xiaodong Wang, Kairui Chen, Dong Li, Yun Zhang, Kin-Man Lam:
Deeply learned pore-scale facial features with a large pore-to-pore correspondences dataset. 247-254 - Çaglayan Tuna, Behzad Mirmahboub, François Merciol, Sébastien Lefèvre:
Component trees for image sequences and streams. 255-262 - Syed Sadaf Ali, Iyyakutti Iyappan Ganapathi, Surya Prakash, Pooja Consul, Sajid Mahyo:
Securing biometric user template using modified minutiae attributes. 263-270 - Abhir Bhandary, G. Ananth Prabhu, V. Rajinikanth, K. Palani Thanaraj, Suresh Chandra Satapathy, David E. Robbins, Charles Shasky, Yu-Dong Zhang, João Manuel R. S. Tavares, Nadaradjane Sri Madhava Raja:
Deep-learning framework to detect lung abnormality - A study with chest X-Ray and lung CT scan images. 271-278 - Arindam Sikdar, Ananda S. Chowdhury:
Scale-invariant batch-adaptive residual learning for person re-identification. 279-286 - Sergio García-Vega, E. A. León-Gómez, Germán Castellanos-Domínguez:
A time-series prediction framework using sequential learning algorithms and dimensionality reduction within a sparsification approach. 287-292 - Muhammad Attique Khan, Muhammad Sharif, Tallha Akram, Syed Ahmad Chan Bukhari, Ramesh Sunder Nayak:
Developed Newton-Raphson based deep features selection framework for skin lesion recognition. 293-303 - Henry Adams, Johnathan Bush, Brittany Carr, Lara Kassab, Joshua Mirth:
A torus model for optical flow. 304-310 - Yuhong Zhang, Yuling Li, Yi Zhu, Xuegang Hu:
Wasserstein GAN based on Autoencoder with back-translation for cross-lingual embedding mappings. 311-316 - Dolça Tellols, Maite López-Sánchez, Inmaculada Rodríguez, Pablo Almajano, Anna Puig:
Enhancing sentient embodied conversational agents with machine learning. 317-323
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