Cevik, M.[Mucahit]
* 2021: Explainable boosted linear regression for time series forecasting
Cevik, N.[Nazife]
* 2019: Novel multispectral face descriptor using orthogonal walsh codes
Cevik, T.[Taner]
* 2019: Novel multispectral face descriptor using orthogonal walsh codes
Cevikalp, H.
* 2004: Face recognition by using discriminative common vectors
* 2005: Discriminative Common Vectors for Face Recognition
* 2008: Margin-based discriminant dimensionality reduction for visual recognition
* 2009: Large margin classifiers based on convex class models
* 2010: Face recognition based on image sets
* 2010: Large Margin Classifier Based on Affine Hulls
* 2010: New clustering algorithms for the support vector machine based hierarchical classification
* 2010: Semi-supervised Distance Metric Learning by Quadratic Programming
* 2012: Efficient object detection using cascades of nearest convex model classifiers
* 2013: Face and landmark detection by using cascade of classifiers
* 2013: Hyperdisk based large margin classifier
* 2014: 2-Sided Best Fitting Hyperplane Classifier
* 2015: Towards Large-Scale Face Recognition Based on Videos
* 2016: Towards Category Based Large-Scale Image Retrieval Using Transductive Support Vector Machines
* 2017: Best Fitting Hyperplanes for Classification
* 2017: Fast and Accurate Face Recognition with Image Sets
* 2017: Polyhedral Conic Classifiers for Visual Object Detection and Classification
* 2017: Visual Object Detection Using Cascades of Binary and One-Class Classifiers
* 2018: Large-scale image retrieval using transductive support vector machines
* 2018: Recurrent neural networks for remote sensing image classification
* 2019: Discriminatively Learned Convex Models for Set Based Face Recognition
* 2019: High-dimensional data clustering by using local affine/convex hulls
* 2019: Seventh Visual Object Tracking VOT2019 Challenge Results, The
* 2019: Visual Object Tracking by Using Ranking Loss
* 2020: Face Recognition Based on Videos by Using Convex Hulls
* 2020: Semi-supervised robust deep neural networks for multi-label image classification
* 2020: Video Based Face Recognition by Using Discriminatively Learned Convex Models
* 2021: Deep compact polyhedral conic classifier for open and closed set recognition
* 2021: Ninth Visual Object Tracking VOT2021 Challenge Results, The
* 2021: Polyhedral Conic Classifiers for Computer Vision Applications and Open Set Recognition
* 2022: Dissected 3D CNNs: Temporal skip connections for efficient online video processing
* 2022: Transductive polyhedral conic classifiers for machine learning applications
* 2023: Deep Discriminative Feature Models (DDFMs) for Set Based Face Recognition and Distance Metric Learning
* 2023: From anomaly detection to open set recognition: Bridging the gap
Includes: Cevikalp, H. Cevikalp, H.[Hakan] Çevikalp, H.[Hakan]
34 for Cevikalp, H.