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ORCID23rd ICPR 2016: Cancún, Mexico
- 23rd International Conference on Pattern Recognition, ICPR 2016, Cancún, Mexico, December 4-8, 2016. IEEE 2016, ISBN 978-1-5090-4847-2
- Edward Grant
, Stephan Sahm, Mariam Zabihi, Marcel van Gerven:
Predicting and visualizing psychological attributions with a deep neural network. 1-6 - Pichao Wang, Wanqing Li, Song Liu, Zhimin Gao, Chang Tang, Philip Ogunbona:
Large-scale Isolated Gesture Recognition using Convolutional Neural Networks. 7-12 - Pichao Wang, Wanqing Li, Song Liu, Yuyao Zhang, Zhimin Gao, Philip Ogunbona:
Large-scale Continuous Gesture Recognition Using Convolutional Neural Networks. 13-18 - Guangming Zhu, Liang Zhang, Lin Mei, Jie Shao, Juan Song, Peiyi Shen:
Large-scale Isolated Gesture Recognition using pyramidal 3D convolutional networks. 19-24 - Yunan Li, Qiguang Miao, Kuan Tian, Yingying Fan, Xin Xu, Rui Li, Jianfeng Song:
Large-scale gesture recognition with a fusion of RGB-D data based on the C3D model. 25-30 - Xiujuan Chai, Zhipeng Liu, Fang Yin, Zhuang Liu, Xilin Chen:
Two streams Recurrent Neural Networks for Large-Scale Continuous Gesture Recognition. 31-36 - Berkay Aydin, Ahmet Alp Kindiroglu, Oya Aran, Lale Akarun:
Automatic personality prediction from audiovisual data using random forest regression. 37-42 - Furkan Gürpinar, Heysem Kaya, Albert Ali Salah:
Multimodal fusion of audio, scene, and face features for first impression estimation. 43-48 - Necati Cihan Camgöz, Simon Hadfield, Oscar Koller, Richard Bowden:
Using Convolutional 3D Neural Networks for User-independent continuous gesture recognition. 49-54 - Nishant Rai:
Bi-modal regression for Apparent Personality trait Recognition. 55-60 - Fatemeh Noroozi, Marina Marjanovic, Angelina Njegus, Sergio Escalera, Gholamreza Anbarjafari:
Fusion of classifier predictions for audio-visual emotion recognition. 61-66 - Hugo Jair Escalante, Víctor Ponce-López, Jun Wan, Michael A. Riegler, Baiyu Chen, Albert Clapés, Sergio Escalera, Isabelle Guyon, Xavier Baró, Pål Halvorsen, Henning Müller, Martha A. Larson:
ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview. 67-73 - Brian C. Lovell, Gennaro Percannella, Alessia Saggese, Mario Vento, Arnold Wiliem:
International Contest on Pattern Recognition techniques for indirect immunofluorescence images analysis. 74-76 - Xi Jia, LinLin Shen, Xiande Zhou, Shiqi Yu:
Deep convolutional neural network based HEp-2 cell classification. 77-80 - Khamael Al-Dulaimi, Jasmine Banks, Inmaculada Tomeo-Reyes, Vinod Chandran:
Automatic segmentation of HEp-2 cell Fluorescence microscope images using level set method via geometric active contours. 81-83 - Divya BS, Kamalraj Subramaniam, Nanjundaswamy HR:
HEp-2 cell classification using artificial neural network approach. 84-89 - V. B. Surya Prasath, Yasmin M. Kassim, Zakariya A. Oraibi, Jean-Baptiste Guiriec, Adel Hafiane, Guna Seetharaman, Kannappan Palaniappan:
HEp-2 cell classification and segmentation using motif texture patterns and spatial features with random forests. 90-95 - Yuexiang Li, LinLin Shen, Xiande Zhou, Shiqi Yu:
HEp-2 specimen classification with fully convolutional network. 96-100 - Ibrahim Halfaoui, Fahd Bouzaraa, Onay Urfalioglu:
CNN-based initial background estimation. 101-106 - Benjamin Laugraud, Sébastien Piérard, Marc Van Droogenbroeck:
LaBGen-P: A pixel-level stationary background generation method based on LaBGen. 107-113 - Diego Ortego, Juan C. SanMiguel, José M. Martínez:
Rejection based multipath reconstruction for background estimation in SBMnet 2016 dataset. 114-119 - Sajid Javed, Soon Ki Jung, Arif Mahmood, Thierry Bouwmans:
Motion-Aware Graph Regularized RPCA for background modeling of complex scenes. 120-125 - Tsubasa Minematsu, Atsushi Shimada, Rin-Ichiro Taniguchi:
Background initialization based on bidirectional analysis and consensus voting. 126-131 - Wei Liu, Yuanzheng Cai, Miaohui Zhang, Hui Li, Hejin Gu:
Scene background estimation based on temporal median filter with Gaussian filtering. 132-136 - Mario Ignacio Chacon Murguia, Juan A. Ramirez-Quintana, Graciela Ramírez Alonso:
Evaluation of the background modeling method Auto-Adaptive Parallel Neural Network Architecture in the SBMnet dataset. 137-142 - Lucia Maddalena, Alfredo Petrosino:
Extracting a background image by a multi-modal scene background model. 143-148 - Modesto Castrillón Santana, Maria De Marsico, Michele Nappi, Fabio Narducci, Hugo Proença:
Mobile Iris CHallenge Evaluation II: Results from the ICPR competition. 149-154 - Andrea F. Abate, Silvio Barra, Luigi Gallo, Fabio Narducci:
SKIPSOM: Skewness & kurtosis of iris pixels in Self Organizing Maps for iris recognition on mobile devices. 155-159 - Chiara Galdi, Jean-Luc Dugelay:
Fusing iris colour and texture information for fast iris recognition on mobile devices. 160-164 - Naiara Aginako, José María Martínez-Otzeta, Basilio Sierra, Modesto Castrillón Santana, Javier Lorenzo-Navarro:
Local descriptors fusion for mobile iris verification. 165-169 - Naiara Aginako, José María Martínez-Otzeta, Igor Rodriguez Rodriguez, Elena Lazkano, Basilio Sierra:
Machine Learning approach to dissimilarity computation: Iris matching. 170-175 - Nasir Udin Ahmed, Slobodan Cvetkovic, Erfanul Hoque Siddiqi, Andrey Nikiforov, Ilia Nikiforov:
Using fusion of iris code and periocular biometric for matching visible spectrum iris images captured by smart phone cameras. 176-180 - Karan Ahuja, Rahul Islam, Ferdous A. Barbhuiya, Kuntal Dey:
A preliminary study of CNNs for iris and periocular verification in the visible spectrum. 181-186 - Oussama Zayene, Nadia Hajjej, Sameh Masmoudi Touj, Soumaya Ben Mansour, Jean Hennebert, Rolf Ingold, Najoua Essoukri Ben Amara:
ICPR2016 contest on Arabic Text detection and Recognition in video frames - AcTiVComp. 187-191 - Dirk W. J. Meijer, David M. J. Tax:
Regularizing AdaBoost with validation sets of increasing size. 192-197 - Cemre Zor, Berrin A. Yanikoglu, Erinc Merdivan, Terry Windeatt, Josef Kittler, Ethem Alpaydin:
BeamECOC: A local search for the optimization of the ECOC matrix. 198-203 - Roghayeh Soleymani, Eric Granger, Giorgio Fumera:
Loss factors for learning Boosting ensembles from imbalanced data. 204-209 - Marco Loog, Yazhou Yang:
An empirical investigation into the inconsistency of sequential active learning. 210-215 - Anandarup Roy, Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
Meta-regression based pool size prediction scheme for dynamic selection of classifiers. 216-221 - András Hajdu, Henrietta Tomán, Laszlo Kovacs, Lajos Hajdu:
Composing ensembles by a stochastic approach under execution time constraint. 222-227 - Shudong Xie, Wee Kheng Leow:
Flip-avoiding interpolating surface registration for skull reconstruction. 228-233 - Ryusuke Sagawa, Yuki Shiba, Takuto Hirukawa, Satoshi Ono, Hiroshi Kawasaki, Ryo Furukawa:
Automatic feature extraction using CNN for robust active one-shot scanning. 234-239 - Sebastian Bullinger, Christoph Bodensteiner, Sebastian Wuttke, Michael Arens:
Moving object reconstruction in monocular video data using boundary generation. 240-246 - Martin Danelljan, Giulia Meneghetti, Fahad Shahbaz Khan, Michael Felsberg:
Aligning the dissimilar: A probabilistic method for feature-based point set registration. 247-252 - Edgar Roman-Rangel, Stéphane Marchand-Maillet:
Indexing Mayan hieroglyphs with neural codes. 253-258 - Danping Liao, Yuntao Qian, Ze-Nian Li:
Semisupervised manifold learning for color transfer between multiview images. 259-264 - Zheng Tang, Yen-Shuo Lin, Kuan-Hui Lee, Jenq-Neng Hwang, Jen-Hui Chuang, Zhijun Fang:
Camera self-calibration from tracking of moving persons. 265-270 - Michal Sorel, Michal Bartos:
Efficient JPEG decompression by the alternating direction method of multipliers. 271-276 - Kazuaki Nakamura, Tsukasa Ono, Noboru Babaguchi:
Detection of groups in crowd considering their activity state. 277-282 - Lei Wang, Danping Li, Tiancheng He, Zhong Xue:
Manifold Regularized Multi-view Subspace Clustering for image representation. 283-288 - Olivier Lezoray:
High dynamic range image processing using manifold-based ordering. 289-294 - Shiyu Chen, Shangfei Wang, Chongliang Wu, Zhen Gao, Xiaoxiao Shi, Qiang Ji:
Implicit hybrid video emotion tagging by integrating video content and users' multiple physiological responses. 295-300 - Shan Wu, Shangfei Wang, Yachen Zhu, Zhen Gao, Lihua Yue, Qiang Ji:
Employing subjects' information as privileged information for emotion recognition from EEG signals. 301-306 - Ozgun Cirakman, Bilge Günsel:
Online speaker emotion tracking with a dynamic state transition model. 307-312 - Yu Chen, Jianjun Qian, Jian Yang, Zhong Jin:
Face alignment with Cascaded Bidirectional LSTM Neural Networks. 313-318 - Timo Grimm, Manuel Martínez, Andreas Benz, Rainer Stiefelhagen:
Sleep position classification from a depth camera using Bed Aligned Maps. 319-324 - Yang Feng, Yuncheng Li, Jiebo Luo:
Learning effective Gait features using LSTM. 325-330 - Alexandr Yu. Kondrat'ev, Dmitry V. Sorokin:
Automatic detection of laser-induced structures in live cell fluorescent microscopy images using snakes with geometric constraints. 331-336 - Mohammad H. Jafari, Nader Karimi, Ebrahim Nasr-Esfahani, Shadrokh Samavi, S. Mohamad R. Soroushmehr, Kevin R. Ward, Kayvan Najarian:
Skin lesion segmentation in clinical images using deep learning. 337-342 - Florian Kromp, Inge Ambros, Tamara Weiss, Dominik Bogen, Helena Dodig, Maria Berneder, Teresa Gerber, Sabine Taschner-Mandl, Peter Ambros, Allan Hanbury:
Machine learning framework incorporating expert knowledge in tissue image annotation. 343-348 - Truc Hung Ngo, Masataka Seo, Naoki Matsushiro, Wei Xiong, Yen-Wei Chen:
Quantitative analysis of facial paralysis based on limited-orientation modified circular Gabor filters. 349-354 - Haofu Liao, Yuncheng Li, Jiebo Luo:
Skin disease classification versus skin lesion characterization: Achieving robust diagnosis using multi-label deep neural networks. 355-360 - Serge Bobbia, Yannick Benezeth, Julien Dubois:
Remote photoplethysmography based on implicit living skin tissue segmentation. 361-365 - Xian Wei, Yuanxiang Li, Hao Shen, Martin Kleinsteuber, Yi Lu Murphey:
Joint learning dictionary and discriminative features for high dimensional data. 366-371 - Etai Littwin, Lior Wolf:
Complexity of multiverse networks and their multilayer generalization. 372-377 - Iaroslav Melekhov, Juho Kannala, Esa Rahtu:
Siamese network features for image matching. 378-383 - Song Cao, Ram Nevatia:
Exploring deep learning based solutions in fine grained activity recognition in the wild. 384-389 - Kha Gia Quach, Chi Nhan Duong, Khoa Luu, Tien D. Bui:
Robust Deep Appearance Models. 390-395 - Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock:
A transitive aligned Weisfeiler-Lehman subtree kernel. 396-401 - Suyash P. Awate, Manik Dhar, Nilesh Kulkarni:
Robust kernel principal nested spheres. 402-407 - Jacopo Cavazza, Andrea Zunino, Marco San-Biagio, Vittorio Murino:
Kernelized covariance for action recognition. 408-413 - Jianwu Li, Qiang Tu, Ziye Yan:
Refining pre-image via error compensation for KPCA-based pattern de-noising. 414-419 - Victor Fragoso, Walter J. Scheirer, João Pedro Hespanha, Matthew A. Turk:
One-class slab support vector machine. 420-425 - Wouter M. Kouw, Marco Loog:
On regularization parameter estimation under covariate shift. 426-431 - Michele Di Capua, Emanuel Di Nardo, Alfredo Petrosino:
Unsupervised cyber bullying detection in social networks. 432-437 - Keigo Kimura, Mineichi Kudo, Lu Sun, Sadamori Koujaku:
Fast random k-labELsets for large-scale multi-label classification. 438-443 - Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Yun Liang, Shan Bian, Yu Chen:
Ensemble-driven support vector clustering: From ensemble learning to automatic parameter estimation. 444-449 - Sambaran Bandyopadhyay, M. Narasimha Murty:
Axioms to characterize efficient incremental clustering. 450-455 - Hongjiao Guan, Yingtao Zhang, Min Xian, Heng-Da Cheng, Xianglong Tang:
WENN for individualized cleaning in imbalanced data. 456-461 - Yumeng Guo, Fulai Chung, Guozheng Li:
Multi-label learning with globAl densiTy fusiOn Mapping features. 462-467 - Jian Hou, Marcello Pelillo:
A new density kernel in density peak based clustering. 468-473 - Andrew Karem, Hichem Frigui:
Multiple Instance Learning with multiple positive and negative target concepts. 474-479 - Marcelo Fiori, Matías Di Martino, Alicia Fernández:
An optimal multiclass classifier design. 480-485 - Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Hironobu Fujiyoshi:
Misclassification tolerable learning for robust pedestrian orientation classification. 486-491 - Olcay Taner Yildiz, Aydin Ulas:
Incremental construction of rule ensembles using classifiers produced by different class orderings. 492-497 - Tu Dinh Nguyen, Vu Nguyen, Trung Le, Dinh Q. Phung:
Distributed data augmented support vector machine on Spark. 498-503 - Shih-Chung Hsu, I-Cheng Chang, Chung-Lin Huang:
Object verification in two views using Sparse representation. 504-509 - Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas:
Exploiting local and global geometric data relationships in Support Vector Data Description. 515-519 - Gitimoni Saikia, Saroj Shivagunde, Vijaya V. Saradhi, Raghvendra Dhirendra Kannao, Prithwijit Guha:
Multiple kernel learning using data envelopment analysis and feature vector selection and projection. 520-524 - Ievgen Redko, Younès Bennani:
Kernel alignment for unsupervised transfer learning. 525-530 - Xuan Vinh Nguyen, Sarah M. Erfani, Sakrapee Paisitkriangkrai, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao:
Training robust models using Random Projection. 531-536 - Budhaditya Saha, Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh:
Transfer learning for rare cancer problems via Discriminative Sparse Gaussian Graphical model. 537-542 - Tangqin Yang, Chang Shu, Ning Zhou:
A joint facial point detection method of deep convolutional network and shape regression. 543-548 - Germán Martín García, Farzad Husain, Hannes Schulz, Simone Frintrop, Carme Torras, Sven Behnke:
Semantic segmentation priors for object discovery. 549-554 - Shizhi Zhang, Toru Wakahara, Yukihiko Yamashita:
Theoretical criterion for image matching using GPT correlation. 555-560 - Atsushi Takabe, Hikari Takehara, Norihiko Kawai, Tomokazu Sato, Takashi Machida, Satoru Nakanishi, Naokazu Yokoya:
Moving object detection from a point cloud using photometric and depth consistencies. 561-566 - Jun Yang, Ge Li, Wenmin Wang, Ronggang Wang:
An Empirical Study of Deformable Part Model with fast feature pyramid. 567-572 - T. Hoang Ngan Le, Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides:
Robust hand detection in Vehicles. 573-578 - Zhen-Mao Li, Lin-Lin Huang:
A fast approach for traffic panel detection from natural scene images. 579-584 - Guan Pang, Ulrich Neumann:
3D point cloud object detection with multi-view convolutional neural network. 585-590 - Keiichi Yamada:
Pedestrian detection with a resolution-aware convolutional network. 591-596 - Daniel Langenkämper, Tim W. Nattkemper:
COATL - a learning architecture for online real-time detection and classification assistance for environmental data. 597-602 - Dimitri Bulatov, Hendrik Schilling:
Segmentation methods for detection of stationary vehicles in combined elevation and optical data. 603-608 - Jongpil Kim, Vladimir Pavlovic:
A shape preserving approach for salient object detection using convolutional neural networks. 609-614 - Tzu-Yang Chen, Min-Yu Wu, Yu-Hsun Hsieh, Li-Chen Fu:
Deep learning for integrated hand detection and pose estimation. 615-620 - Hangil Choi, Seungryong Kim, Kihong Park, Kwanghoon Sohn:
Multi-spectral pedestrian detection based on accumulated object proposal with fully convolutional networks. 621-626 - Muhammad-Adeel Waris, Alexandros Iosifidis, Moncef Gabbouj:
Object proposals using CNN-based edge filtering. 627-632 - Zhenheng Yang, Ramakant Nevatia:
A multi-scale cascade fully convolutional network face detector. 633-638 - Shao Huang, Weiqiang Wang, Ke Lu:
Egocentric hand detection via region growth. 639-644 - Yuanyuan Feng, Yonghong Song, Yuanlin Zhang:
Scene text detection based on multi-scale SWT and edge filtering. 645-650 - Christian Eggert, Anton Winschel, Dan Zecha, Rainer Lienhart:
Saliency-guided selective magnification for company logo detection. 651-656 - Wei-Yi Pei, Chun Yang, Lih-Jen Kau, Xu-Cheng Yin:
Multi-orientation scene text detection with multi-information fusion. 657-662 - Xiaofeng Sun, Shuhan Shen, Zhanyi Hu:
Automatic building extraction from oblique aerial images. 663-668 - Mohamed Gabr, Rimon Elias:
Enhancing the runtime of JUDOCA detector. 669-674 - Javier Aldana-Iuit, Dmytro Mishkin, Ondrej Chum, Jiri Matas:
In the Saddle: Chasing fast and repeatable features. 675-680 - Yoshiki Kuranuki, Ioannis Patras:
Minimal filtered channel features for pedestrian detection. 681-686 - Fubito Toyama, Hiroshi Mori, Kenji Shoji:
Fast template matching using Brick Partitioning and initial threshold. 687-691 - Mathieu De Langlard, Hania Al Saddik, Fabrice Lamadie, Sophie Charton, Johan Debayle:
A multiscale method for shape recognition of overlapping elliptical particles. 692-697 - Paul Blondel, Alex Potelle, Claude Pégard, Rogelio Lozano, David Lara:
Dynamic collaboration of far-infrared and visible spectrum for human detection. 698-703 - Beijing Chen, Jianhao Yang, Mengru Ding, Tianliang Liu, Xinpeng Zhang:
Quaternion-type moments combining both color and depth information for RGB-D object recognition. 704-708 - Xuelei Zhang, Zheng Zhang, Chengquan Zhang, Xiang Bai:
Symmetry-based object proposal for text detection. 709-714 - Lisa M. Brown, Quanfu Fan:
Enhanced face detection using body part detections for wearable cameras. 715-720 - Naoyuki Gunji, Hitoshi Niigaki, Ken Tsutsuguchi, Takayuki Kurozumi, Tetsuya Kinebuchi:
3D object recognition from large-scale point clouds with global descriptor and sliding window. 721-726 - Hoda Mohaghegh, Nader Karimi, S. Mohamad R. Soroushmehr, Shadrokh Samavi, Kayvan Najarian:
Single image depth estimation using joint local-global features. 727-732 - Thomas Faulhammer, Michael Zillich, Johann Prankl, Markus Vincze:
A multi-modal RGB-D object recognizer. 733-738 - Jiacai Zhao, Jie Ma, Bin Fang, Siwen Quan, Fangyu Hu:
Fast motion deblurring using gyroscopes and strong edge prediction. 739-744 - Chulwoo Lee, Ling Shao:
Learning-based single image dehazing via genetic programming. 745-750 - Jie Yang, Xinwei Jiang, Chunhong Pan, Cheng-Lin Liu:
Enhancement of Low Light Level Images with coupled dictionary learning. 751-756 - Yuriy V. Shkvarko, Josué A. López-Ruíz, Stewart René Santos Arce, Guillermo Garcia-Torales:
Intelligent neural computing-based way for multi-sensor imaging radar data fusion. 757-762 - Magnus Oskarsson:
Characterizing the structure tensor using gamma distributions. 763-768