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ORCIDHakan Çevikalp
Hakan Cevikalp
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- affiliation: Eskişehir Osmangazi University, Turkey
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2020 – today
- 2024
[j30]Hakan Cevikalp
, Edward Chome:
Robust and compact maximum margin clustering for high-dimensional data. Neural Comput. Appl. 36(11): 5981-6003 (2024)- [c54]Yilmaz Küçük, Hakan Çevikalp:
Classification of Data Corruption in Microcontroller-Based Serial-Optical Communication with Tensorflow-Lite. SIU 2024: 1-3 - [i8]Furkan Durmus, Hasan Saribas, Said Aldemir, Junyan Yang, Hakan Cevikalp:
Pairwise Ranking Loss for Multi-Task Learning in Recommender Systems. CoRR abs/2406.02163 (2024) - [i7]Beyza Türkmen, Ramazan Tarik Türksoy, Hasan Saribas, Hakan Cevikalp:
Polyhedral Conic Classifier for CTR Prediction. CoRR abs/2406.03892 (2024) - [i6]Kerem Mertoglu, Yusuf Salk, Server Karahan Sarikaya, Kaya Turgut, Yasemin Evrenesoglu, Hakan Çevikalp, Ömer Nezih Gerek, Helin Dutagaci, David Rousseau:
PLANesT-3D: A new annotated dataset for segmentation of 3D plant point clouds. CoRR abs/2407.21150 (2024) - 2023
- [j29]Hasan Saribas, Hakan Cevikalp, Sinem Kahvecioglu:
Visual object tracking by using ranking loss and spatial-temporal features. Mach. Vis. Appl. 34(2): 30 (2023) - [j28]Bedirhan Uzun, Hakan Cevikalp, Hasan Saribas:
Deep Discriminative Feature Models (DDFMs) for Set Based Face Recognition and Distance Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5594-5608 (2023) - [j27]Hakan Cevikalp, Bedirhan Uzun, Yusuf Salk, Hasan Saribas, Okan Köpüklü:
From anomaly detection to open set recognition: Bridging the gap. Pattern Recognit. 138: 109385 (2023) - [c53]Ameen Ali, Lior Wolf, Hakan Cevikalp:
Degree-based stratification of nodes in Graph Neural Networks. ACML 2023: 15-27 - [c52]Hakan Cevikalp, Hasan Serhan Yavuz, Hasan Saribas:
Deep Uniformly Distributed Centers on a Hypersphere for Open Set Recognition. ACML 2023: 217-230 - [c51]Hakan Cevikalp, Hasan Saribas:
Deep Simplex Classifier for Maximizing the Margin in Both Euclidean and Angular Spaces. SCIA (2) 2023: 91-107 - [c50]Cemal Isilak, Ozan Durmaz, Yusuf Salk, Hakan Çevikalp, Helin Dutagaci, Tufan Girgin:
Measuring Electromagnetic Field Strength in Base Stations Using Unmanned Aerial Vehicles. SIU 2023: 1-4 - [c49]Ahmet Karazor, Alperen Enes Bayar, Cihan Topal, Hakan Çevikalp:
Gaze Estimation by Attention Using a Two-Stream Regression Network. SIU 2023: 1-4 - [c48]Kerem Mertoglu, Yusuf Salk, Server Karahan Sarikaya, Kaya Turgut, Yasemin Evrenosoglu, Hakan Çevikalp, Ömer Nezih Gerek, Helin Dutagaci, David Rousseau:
PLANesT-3D: A New Annotated Data Set of 3D Color Point Clouds of Plants. SIU 2023: 1-4 - [c47]Irem Nur Yoldas, Hakan Çevikalp, Muhammed Gündogdu, Nevin Aydin, Muzaffer Metintas:
Benign and Malignant Tumor Segmentation on Thorax Computed Tomography Images. SIU 2023: 1-4 - [i5]Ameen Ali, Hakan Cevikalp, Lior Wolf:
Degree-based stratification of nodes in Graph Neural Networks. CoRR abs/2312.10458 (2023) - 2022
- [j26]Okan Köpüklü, Stefan Hörmann, Fabian Herzog, Hakan Cevikalp, Gerhard Rigoll:
Dissected 3D CNNs: Temporal skip connections for efficient online video processing. Comput. Vis. Image Underst. 215: 103318 (2022) - [j25]Hasan Saribas, Hakan Cevikalp, Okan Köpüklü, Bedirhan Uzun:
TRAT: Tracking by attention using spatio-temporal features. Neurocomputing 492: 150-161 (2022) - [j24]Hakan Cevikalp, Halil Saglamlar:
Transductive polyhedral conic classifiers for machine learning applications. Pattern Recognit. Lett. 161: 1-7 (2022) - [c46]Golara Ghorban Dordinejad, Hakan Çevikalp:
Face Frontalization for Image Set Based Face Recognition. SIU 2022: 1-4 - [c45]Yusuf Salk, Bedirhan Uzun, Hakan Çevikalp, Hasan Saribas:
Anomaly Detection with Deep Compact Hypersphere. SIU 2022: 1-4 - [i4]Hakan Cevikalp, Hasan Saribas:
Deep Simplex Classifier for Maximizing the Margin in Both Euclidean and Angular Spaces. CoRR abs/2212.11747 (2022) - 2021
- [j23]Hakan Çevikalp, Emre Çimen, Gürkan Öztürk:
The nearest polyhedral convex conic regions for high-dimensional classification. Turkish J. Electr. Eng. Comput. Sci. 29(2): 913-928 (2021) - [j22]Nazlican Gengeç, Onur Eker, Hakan Çevikalp, Ahmet Yazici, Hasan Serhan Yavuz:
Visual object detection for autonomous transport vehicles in smart factories. Turkish J. Electr. Eng. Comput. Sci. 29(4): 2101-2115 (2021) - [j21]Hakan Cevikalp, Halil Saglamlar:
Polyhedral Conic Classifiers for Computer Vision Applications and Open Set Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 608-622 (2021) - [j20]Hakan Cevikalp, Bedirhan Uzun, Okan Köpüklü, Gürkan Öztürk:
Deep compact polyhedral conic classifier for open and closed set recognition. Pattern Recognit. 119: 108080 (2021) - [c44]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, Zhen-Hua 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:
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW 2021: 2711-2738 - [c43]Ahmet Demir, Hakan Çevikalp:
High Resolution Video Transmission Using GNU Radio and USRP. SIU 2021: 1-4 - [c42]Halil Saglamlar, Hakan Çevikalp:
Transductive Polyhedral Conic Classifiers. SIU 2021: 1-4 - [i3]Hakan Cevikalp, Bedirhan Uzun, Okan Köpüklü, Gürkan Öztürk:
Deep Compact Polyhedral Conic Classifier for Open and Closed Set Recognition. CoRR abs/2102.12570 (2021) - 2020
- [j19]Hakan Cevikalp, Golara Ghorban Dordinejad:
Video Based Face Recognition by Using Discriminatively Learned Convex Models. Int. J. Comput. Vis. 128(12): 3000-3014 (2020) - [j18]Hakan Cevikalp, Burak Benligiray, Ömer Nezih Gerek:
Semi-supervised robust deep neural networks for multi-label image classification. Pattern Recognit. 100: 107164 (2020) - [j17]Hakan Cevikalp, Hasan Serhan Yavuz, Bill Triggs:
Face Recognition Based on Videos by Using Convex Hulls. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4481-4495 (2020) - [c41]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, Zhen-Hua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma:
The Eighth Visual Object Tracking VOT2020 Challenge Results. ECCV Workshops (5) 2020: 547-601 - [i2]Okan Köpüklü, Stefan Hörmann, Fabian Herzog, Hakan Cevikalp, Gerhard Rigoll:
Dissected 3D CNNs: Temporal Skip Connections for Efficient Online Video Processing. CoRR abs/2009.14639 (2020) - [i1]Hasan Saribas, Hakan Cevikalp, Okan Köpüklü, Bedirhan Uzun:
TRAT: Tracking by Attention Using Spatio-Temporal Features. CoRR abs/2011.09524 (2020)
2010 – 2019
- 2019
- [j16]Hakan Cevikalp:
High-dimensional data clustering by using local affine/convex hulls. Pattern Recognit. Lett. 128: 427-432 (2019) - [c40]Hakan Cevikalp, Burak Benligiray, Ömer Nezih Gerek, Hasan Saribas:
Semi-Supervised Robust Deep Neural Networks for Multi-Label Classification. CVPR Workshops 2019: 9-17 - [c39]Hasan Saribas, Bedirhan Uzun, Burak Benligiray, Onur Eker, Hakan Cevikalp:
A Hybrid Method for Tracking of Objects by UAVs. CVPR Workshops 2019: 563-572 - [c38]Hakan Cevikalp, Golara Ghorban Dordinejad:
Discriminatively Learned Convex Models for Set Based Face Recognition. ICCV 2019: 10122-10131 - [c37]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, Zhen-Hua 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:
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241 - [c36]Hakan Cevikalp, Hasan Saribas, Burak Benligiray, Sinem Kahvecioglu:
Visual Object Tracking by Using Ranking Loss. ICCV Workshops 2019: 2271-2280 - [c35]Bedirhan Uzun, Onur Eker, Hasan Saribas, Hakan Çevikalp:
Detection Based Tracking of Unmanned Aerial Vehicles. SIU 2019: 1-4 - 2018
- [j15]Hakan Cevikalp, Merve Elmas, Savas Özkan:
Large-scale image retrieval using transductive support vector machines. Comput. Vis. Image Underst. 173: 2-12 (2018) - [j14]Mohamed Ilyes Lakhal, Hakan Çevikalp, Sergio Escalera, Ferda Ofli:
Recurrent neural networks for remote sensing image classification. IET Comput. Vis. 12(7): 1040-1045 (2018) - [c34]Hasan Saribas, Hakan Cevikalp, Sinem Kahvecioglu:
Car detection in images taken from unmanned aerial vehicles. SIU 2018: 1-4 - [c33]Mohamed Ilyes Lakhal, Sergio Escalera, Hakan Cevikalp:
CRN: End-to-end Convolutional Recurrent Network Structure Applied to Vehicle Classification. VISIGRAPP (5: VISAPP) 2018: 137-144 - 2017
- [j13]Hakan Cevikalp, Bill Triggs:
Visual Object Detection Using Cascades of Binary and One-Class Classifiers. Int. J. Comput. Vis. 123(3): 334-349 (2017) - [j12]Hakan Cevikalp, Vojtech Franc:
Large-scale robust transductive support vector machines. Neurocomputing 235: 199-209 (2017) - [j11]Hakan Cevikalp:
Best Fitting Hyperplanes for Classification. IEEE Trans. Pattern Anal. Mach. Intell. 39(6): 1076-1088 (2017) - [c32]Hakan Cevikalp, Bill Triggs:
Polyhedral Conic Classifiers for Visual Object Detection and Classification. CVPR 2017: 4114-4122 - [c31]Hakan Cevikalp, Hasan Serhan Yavuz:
Fast and Accurate Face Recognition with Image Sets. ICCV Workshops 2017: 1564-1572 - [c30]Hakan Cevikalp, Golara Ghorban Dordinejad, Merve Elmas:
Feature extraction with convolutional neural networks for aerial image retrieval. SIU 2017: 1-4 - [c29]Hakan Cevikalp, Sahin Isik:
ImageHawk search engine: Content based image retrieval system. SIU 2017: 1-4 - [c28]Golara Ghorban Dordinejad, Hakan Cevikalp:
Cone vertex estimation in polyhedral conic classifiers. SIU 2017: 1-4 - 2016
- [c27]Hakan Cevikalp, Merve Elmas, Savas Özkan:
Towards Category Based Large-Scale Image Retrieval Using Transductive Support Vector Machines. ECCV Workshops (1) 2016: 621-637 - [c26]Hakan Cevikalp, Merve Elmas:
Robust transductive support vector machines. SIU 2016: 985-988 - 2015
- [c25]Meltem Yalcin, Hakan Cevikalp, Hasan Serhan Yavuz:
Towards Large-Scale Face Recognition Based on Videos. ICCV Workshops 2015: 1078-1085 - [c24]Tugce Dongel, Hakan Cevikalp:
Dimensionality reduction by using transductive learning and binary hierarchical trees. SIU 2015: 767-770 - 2014
- [j10]Hakan Cevikalp:
Semi-supervised discriminative common vector method for computer vision applications. Neurocomputing 129: 289-297 (2014) - [c23]Hakan Cevikalp:
2-Sided Best Fitting Hyperplane Classifier. ICPR 2014: 226-231 - [c22]Hakan Cevikalp, Hasan Serhan Yavuz:
One-sided best fitting hyperplane classifier. SIU 2014: 112-115 - [c21]Tugce Dongel, Hakan Cevikalp:
Semi automatic annotation tool. SIU 2014: 1067-1070 - 2013
- [j9]Hakan Cevikalp, Bill Triggs:
Hyperdisk based large margin classifier. Pattern Recognit. 46(6): 1523-1531 (2013) - [c20]Hakan Cevikalp, Bill Triggs, Vojtech Franc:
Face and landmark detection by using cascade of classifiers. FG 2013: 1-7 - [c19]Hakan Cevikalp, Zuhal Kurt, Ahmet Okan Onarcan:
Return of the king: The Fourier transform based descriptor for visual object classification. SIU 2013: 1-4 - [c18]Hasan Serhan Yavuz, Hakan Cevikalp, Rifat Edizkan:
Automatic face recognition from frontal images. SIU 2013: 1-4 - 2012
- [c17]Hakan Cevikalp, Bill Triggs:
Efficient object detection using cascades of nearest convex model classifiers. CVPR 2012: 3138-3145 - [c16]Onur Akyuz, Hakan Cevikalp, Guvenc Usanmaz:
A novel method for object localization in digital images. SIU 2012: 1-4 - 2011
- [c15]Hakan Cevikalp:
Large Margin Classifier Based on Hyperdisks. ICMLA (1) 2011: 370-375 - 2010
- [j8]Hakan Cevikalp, Bill Triggs, Hasan Serhan Yavuz, Yalçin Küçük, Mahide Küçük, Atalay Barkana:
Large margin classifiers based on affine hulls. Neurocomputing 73(16-18): 3160-3168 (2010) - [j7]Hakan Cevikalp:
New clustering algorithms for the support vector machine based hierarchical classification. Pattern Recognit. Lett. 31(11): 1285-1291 (2010) - [j6]Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill Triggs, Frédéric Jurie:
Manifold Based Local Classifiers: Linear and Nonlinear Approaches. J. Signal Process. Syst. 61(1): 61-73 (2010) - [c14]Hakan Cevikalp, Bill Triggs:
Face recognition based on image sets. CVPR 2010: 2567-2573 - [c13]Hakan Cevikalp, Hasan Serhan Yavuz:
Large Margin Classifier Based on Affine Hulls. ICPR 2010: 21-24 - [c12]Hakan Cevikalp:
Semi-supervised Distance Metric Learning by Quadratic Programming. ICPR 2010: 3352-3355
2000 – 2009
- 2009
- [j5]Hakan Cevikalp, Hasan Serhan Yavuz, Mehmet Atif Cay, Atalay Barkana:
Two-dimensional subspace classifiers for face recognition. Neurocomputing 72(4-6): 1111-1120 (2009) - [c11]Hakan Cevikalp, Bill Triggs:
Large margin classifiers based on convex class models. ICCV Workshops 2009: 101-108 - [c10]Hakan Cevikalp:
Semi-supervised Distance Metric Learning in High-Dimensional Spaces by Using Equivalence Constraints. VISIGRAPP (Selected Papers) 2009: 242-254 - [c9]Hakan Cevikalp, Roberto Paredes:
Semi-supervised Distance Metric Learning for Visual Object Classification. VISAPP (1) 2009: 315-322 - 2008
- [j4]Hakan Cevikalp, Robi Polikar:
Local Classifier Weighting by Quadratic Programming. IEEE Trans. Neural Networks 19(10): 1832-1838 (2008) - [c8]Hakan Cevikalp, Bill Triggs, Frédéric Jurie, Robi Polikar:
Margin-based discriminant dimensionality reduction for visual recognition. CVPR 2008 - [c7]Hakan Cevikalp, Bill Triggs, Robi Polikar:
Nearest hyperdisk methods for high-dimensional classification. ICML 2008: 120-127 - [c6]Hakan Cevikalp, Jakob Verbeek, Frédéric Jurie, Alexander Kläser:
Semi-Supervised Dimensionality Reduction Using Pairwise Equivalence Constraints. VISAPP (1) 2008: 489-496 - 2007
- [j3]Hakan Cevikalp, Marian Neamtu, Atalay Barkana:
The Kernel Common Vector Method: A Novel Nonlinear Subspace Classifier for Pattern Recognition. IEEE Trans. Syst. Man Cybern. Part B 37(4): 937-951 (2007) - 2006
- [j2]Hakan Cevikalp, Marian Neamtu, D. Mitch Wilkes:
Discriminative Common Vector Method With Kernels. IEEE Trans. Neural Networks 17(6): 1550-1565 (2006) - [c5]Hakan Cevikalp, Hasan Serhan Yavuz, Atalay Barkana:
Two dimensional (2D) subspace classifiers for image recognition. EUSIPCO 2006: 1-4 - 2005
- [j1]Hakan Cevikalp, Marian Neamtu, D. Mitch Wilkes, Atalay Barkana:
Discriminative Common Vectors for Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 27(1): 4-13 (2005) - [c4]Hakan Cevikalp, Marian Neamtu:
Nonlinear Common Vectors for pattern classification. EUSIPCO 2005: 1-4 - 2004
- [c3]Hakan Cevikalp, D. Mitch Wilkes:
Face Recognition by Using Discriminative Common Vectors. ICPR (1) 2004: 326-329 - 2003
- [c2]Robert F. Labadie, Michael Fenlon, Hakan Cevikalp, S. Harris, Robert L. Galloway, J. Michael Fitzpatrick:
Image-guided otologic surgery. CARS 2003: 627-632 - [c1]Xiaofeng Liu, Hakan Cevikalp, J. Michael Fitzpatrick:
Marker orientation in fiducial registration. Medical Imaging: Image Processing 2003
Coauthor Index
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