Hakan Çevikalp

According to our database, Hakan Çevikalp authored at least 87 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Robust and compact maximum margin clustering for high-dimensional data.

Hakan Cevikalp, Edward Chome

Neural Comput. Appl., April, 2024

PLANesT-3D: A new annotated dataset for segmentation of 3D plant point clouds.

Kerem Mertoglu, Yusuf Salk, Server Karahan Sarikaya, Kaya Turgut, Yasemin Evrenesoglu, Hakan Çevikalp, Ömer Nezih Gerek, Helin Dutagaci, David Rousseau

CoRR, 2024

Polyhedral Conic Classifier for CTR Prediction.

Beyza Türkmen, Ramazan Tarik Türksoy, Hasan Saribas, Hakan Cevikalp

CoRR, 2024

Pairwise Ranking Loss for Multi-Task Learning in Recommender Systems.

Furkan Durmus, Hasan Saribas, Said Aldemir, Junyan Yang, Hakan Cevikalp

CoRR, 2024

Classification of Data Corruption in Microcontroller-Based Serial-Optical Communication with Tensorflow-Lite.

Yilmaz Küçük, Hakan Çevikalp

Proceedings of the 32nd Signal Processing and Communications Applications Conference, 2024

2023

From anomaly detection to open set recognition: Bridging the gap.

Hakan Cevikalp, Bedirhan Uzun, Yusuf Salk, Hasan Saribas, Okan Köpüklü

Pattern Recognit., June, 2023

Deep Discriminative Feature Models (DDFMs) for Set Based Face Recognition and Distance Metric Learning.

Bedirhan Uzun, Hakan Cevikalp, Hasan Saribas

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Visual object tracking by using ranking loss and spatial-temporal features.

Hasan Saribas, Hakan Cevikalp, Sinem Kahvecioglu

Mach. Vis. Appl., March, 2023

Benign and Malignant Tumor Segmentation on Thorax Computed Tomography Images.

Irem Nur Yoldas, Hakan Çevikalp, Muhammed Gündogdu, Nevin Aydin, Muzaffer Metintas

Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

PLANesT-3D: A New Annotated Data Set of 3D Color Point Clouds of Plants.

Kerem Mertoglu, Yusuf Salk, Server Karahan Sarikaya, Kaya Turgut, Yasemin Evrenosoglu, Hakan Çevikalp, Ömer Nezih Gerek, Helin Dutagaci, David Rousseau

Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

Gaze Estimation by Attention Using a Two-Stream Regression Network.

Ahmet Karazor, Alperen Enes Bayar, Cihan Topal, Hakan Çevikalp

Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

Measuring Electromagnetic Field Strength in Base Stations Using Unmanned Aerial Vehicles.

Cemal Isilak, Ozan Durmaz, Yusuf Salk, Hakan Çevikalp, Helin Dutagaci, Tufan Girgin

Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

Deep Simplex Classifier for Maximizing the Margin in Both Euclidean and Angular Spaces.

Hakan Cevikalp, Hasan Saribas

Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

Deep Uniformly Distributed Centers on a Hypersphere for Open Set Recognition.

Hakan Cevikalp, Hasan Serhan Yavuz, Hasan Saribas

Proceedings of the Asian Conference on Machine Learning, 2023

Degree-based stratification of nodes in Graph Neural Networks.

Ameen Ali, Lior Wolf, Hakan Cevikalp

Proceedings of the Asian Conference on Machine Learning, 2023

2022

Transductive polyhedral conic classifiers for machine learning applications.

Hakan Cevikalp, Halil Saglamlar

Pattern Recognit. Lett., 2022

TRAT: Tracking by attention using spatio-temporal features.

Hasan Saribas, Hakan Cevikalp, Okan Köpüklü, Bedirhan Uzun

Neurocomputing, 2022

Dissected 3D CNNs: Temporal skip connections for efficient online video processing.

Okan Köpüklü, Stefan Hörmann, Fabian Herzog, Hakan Cevikalp, Gerhard Rigoll

Comput. Vis. Image Underst., 2022

Anomaly Detection with Deep Compact Hypersphere.

Yusuf Salk, Bedirhan Uzun, Hakan Çevikalp, Hasan Saribas

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Face Frontalization for Image Set Based Face Recognition.

Golara Ghorban Dordinejad, Hakan Çevikalp

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

2021

Deep compact polyhedral conic classifier for open and closed set recognition.

Hakan Cevikalp, Bedirhan Uzun, Okan Köpüklü, Gürkan Öztürk

Pattern Recognit., 2021

Polyhedral Conic Classifiers for Computer Vision Applications and Open Set Recognition.

Hakan Cevikalp, Halil Saglamlar

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Visual object detection for autonomous transport vehicles in smart factories.

Nazlican Gengeç, Onur Eker, Hakan Çevikalp, Ahmet Yazici, Hasan Serhan Yavuz

Turkish J. Electr. Eng. Comput. Sci., 2021

The nearest polyhedral convex conic regions for high-dimensional classification.

Hakan Çevikalp, Emre Çimen, Gürkan Öztürk

Turkish J. Electr. Eng. Comput. Sci., 2021

Transductive Polyhedral Conic Classifiers.

Halil Saglamlar, Hakan Çevikalp

Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

High Resolution Video Transmission Using GNU Radio and USRP.

Ahmet Demir, Hakan Çevikalp

Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

The Ninth Visual Object Tracking VOT2021 Challenge Results.

Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhenhua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed S. Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Face Recognition Based on Videos by Using Convex Hulls.

Hakan Cevikalp, Hasan Serhan Yavuz, Bill Triggs

IEEE Trans. Circuits Syst. Video Technol., 2020

Semi-supervised robust deep neural networks for multi-label image classification.

Hakan Cevikalp, Burak Benligiray, Ömer Nezih Gerek

Pattern Recognit., 2020

Video Based Face Recognition by Using Discriminatively Learned Convex Models.

Hakan Cevikalp, Golara Ghorban Dordinejad

Int. J. Comput. Vis., 2020

The Eighth Visual Object Tracking VOT2020 Challenge Results.

Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhenhua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

High-dimensional data clustering by using local affine/convex hulls.

Hakan Cevikalp

Pattern Recognit. Lett., 2019

Detection Based Tracking of Unmanned Aerial Vehicles.

Bedirhan Uzun, Onur Eker, Hasan Saribas, Hakan Çevikalp

Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

The Seventh Visual Object Tracking VOT2019 Challenge Results.

Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Visual Object Tracking by Using Ranking Loss.

Hakan Cevikalp, Hasan Saribas, Burak Benligiray, Sinem Kahvecioglu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Discriminatively Learned Convex Models for Set Based Face Recognition.

Hakan Cevikalp, Golara Ghorban Dordinejad

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Hybrid Method for Tracking of Objects by UAVs.

Hasan Saribas, Bedirhan Uzun, Burak Benligiray, Onur Eker, Hakan Cevikalp

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Semi-Supervised Robust Deep Neural Networks for Multi-Label Classification.

Hakan Cevikalp, Burak Benligiray, Ömer Nezih Gerek, Hasan Saribas

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Recurrent neural networks for remote sensing image classification.

Mohamed Ilyes Lakhal, Hakan Çevikalp, Sergio Escalera, Ferda Ofli

IET Comput. Vis., 2018

Large-scale image retrieval using transductive support vector machines.

Hakan Cevikalp, Merve Elmas, Savas Özkan

Comput. Vis. Image Underst., 2018

CRN: End-to-end Convolutional Recurrent Network Structure Applied to Vehicle Classification.

Mohamed Ilyes Lakhal, Sergio Escalera, Hakan Cevikalp

Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Car detection in images taken from unmanned aerial vehicles.

Hasan Saribas, Hakan Cevikalp, Sinem Kahvecioglu

Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

2017

Best Fitting Hyperplanes for Classification.

Hakan Cevikalp

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Large-scale robust transductive support vector machines.

Hakan Cevikalp, Vojtech Franc

Neurocomputing, 2017

Visual Object Detection Using Cascades of Binary and One-Class Classifiers.

Hakan Cevikalp, Bill Triggs

Int. J. Comput. Vis., 2017

Cone vertex estimation in polyhedral conic classifiers.

Golara Ghorban Dordinejad, Hakan Cevikalp

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

ImageHawk search engine: Content based image retrieval system.

Hakan Cevikalp, Sahin Isik

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Feature extraction with convolutional neural networks for aerial image retrieval.

Hakan Cevikalp, Golara Ghorban Dordinejad, Merve Elmas

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Fast and Accurate Face Recognition with Image Sets.

Hakan Cevikalp, Hasan Serhan Yavuz

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Polyhedral Conic Classifiers for Visual Object Detection and Classification.

Hakan Cevikalp, Bill Triggs

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Robust transductive support vector machines.

Hakan Cevikalp, Merve Elmas

Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Towards Category Based Large-Scale Image Retrieval Using Transductive Support Vector Machines.

Hakan Cevikalp, Merve Elmas, Savas Özkan

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015

Dimensionality reduction by using transductive learning and binary hierarchical trees.

Tugce Dongel, Hakan Cevikalp

Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Towards Large-Scale Face Recognition Based on Videos.

Meltem Yalcin, Hakan Cevikalp, Hasan Serhan Yavuz

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

2014

Semi-supervised discriminative common vector method for computer vision applications.

Hakan Cevikalp

Neurocomputing, 2014

Semi automatic annotation tool.

Tugce Dongel, Hakan Cevikalp

Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

One-sided best fitting hyperplane classifier.

Hakan Cevikalp, Hasan Serhan Yavuz

Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

2-Sided Best Fitting Hyperplane Classifier.

Hakan Cevikalp

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Hyperdisk based large margin classifier.

Hakan Cevikalp, Bill Triggs

Pattern Recognit., 2013

Automatic face recognition from frontal images.

Hasan Serhan Yavuz, Hakan Cevikalp, Rifat Edizkan

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Return of the king: The Fourier transform based descriptor for visual object classification.

Hakan Cevikalp, Zuhal Kurt, Ahmet Okan Onarcan

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Face and landmark detection by using cascade of classifiers.

Hakan Cevikalp, Bill Triggs, Vojtech Franc

Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

2012

A novel method for object localization in digital images.

Onur Akyuz, Hakan Cevikalp, Guvenc Usanmaz

Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Efficient object detection using cascades of nearest convex model classifiers.

Hakan Cevikalp, Bill Triggs

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Large Margin Classifier Based on Hyperdisks.

Hakan Cevikalp

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

2010

Manifold Based Local Classifiers: Linear and Nonlinear Approaches.

Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill Triggs, Frédéric Jurie

J. Signal Process. Syst., 2010

New clustering algorithms for the support vector machine based hierarchical classification.

Hakan Cevikalp

Pattern Recognit. Lett., 2010

Large margin classifiers based on affine hulls.

Hakan Cevikalp, Bill Triggs, Hasan Serhan Yavuz, Yalçin Küçük, Mahide Küçük, Atalay Barkana

Neurocomputing, 2010

Large Margin Classifier Based on Affine Hulls.

Hakan Cevikalp, Hasan Serhan Yavuz

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Semi-supervised Distance Metric Learning by Quadratic Programming.

Hakan Cevikalp

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Face recognition based on image sets.

Hakan Cevikalp, Bill Triggs

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Two-dimensional subspace classifiers for face recognition.

Hakan Cevikalp, Hasan Serhan Yavuz, Mehmet Atif Cay, Atalay Barkana

Neurocomputing, 2009

Semi-supervised Distance Metric Learning for Visual Object Classification.

Hakan Cevikalp, Roberto Paredes

Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009

Semi-supervised Distance Metric Learning in High-Dimensional Spaces by Using Equivalence Constraints.

Hakan Cevikalp

Proceedings of the Computer Vision, Imaging and Computer Graphics. Theory and Applications, 2009

Large margin classifiers based on convex class models.

Hakan Cevikalp, Bill Triggs

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

2008

Local Classifier Weighting by Quadratic Programming.

Hakan Cevikalp, Robi Polikar

IEEE Trans. Neural Networks, 2008

Semi-Supervised Dimensionality Reduction Using Pairwise Equivalence Constraints.

Hakan Cevikalp, Jakob Verbeek, Frédéric Jurie, Alexander Kläser

Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

Nearest hyperdisk methods for high-dimensional classification.

Hakan Cevikalp, Bill Triggs, Robi Polikar

Proceedings of the Machine Learning, 2008

Margin-based discriminant dimensionality reduction for visual recognition.

Hakan Cevikalp, Bill Triggs, Frédéric Jurie, Robi Polikar

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

The Kernel Common Vector Method: A Novel Nonlinear Subspace Classifier for Pattern Recognition.

Hakan Cevikalp, Marian Neamtu, Atalay Barkana

IEEE Trans. Syst. Man Cybern. Part B, 2007

2006

Discriminative Common Vector Method With Kernels.

Hakan Cevikalp, Marian Neamtu, D. Mitch Wilkes

IEEE Trans. Neural Networks, 2006

Two dimensional (2D) subspace classifiers for image recognition.

Hakan Cevikalp, Hasan Serhan Yavuz, Atalay Barkana

Proceedings of the 14th European Signal Processing Conference, 2006

2005

Discriminative Common Vectors for Face Recognition.

Hakan Cevikalp, Marian Neamtu, D. Mitch Wilkes, Atalay Barkana

IEEE Trans. Pattern Anal. Mach. Intell., 2005

Nonlinear Common Vectors for pattern classification.

Hakan Cevikalp, Marian Neamtu

Proceedings of the 13th European Signal Processing Conference, 2005

2004

Face Recognition by Using Discriminative Common Vectors.

Hakan Cevikalp, D. Mitch Wilkes

Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003

Marker orientation in fiducial registration.

Xiaofeng Liu, Hakan Cevikalp, J. Michael Fitzpatrick

Proceedings of the Medical Imaging 2003: Image Processing, 2003

Image-guided otologic surgery.

Robert F. Labadie, Michael Fenlon, Hakan Cevikalp, S. Harris, Robert L. Galloway, J. Michael Fitzpatrick

Proceedings of the CARS 2003. Computer Assisted Radiology and Surgery. Proceedings of the 17th International Congress and Exhibition, 2003