Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDFatos T. Yarman-Vural
Fatos Tünay Yarman Vural
Person information
- affiliation: Middle East Technical University, Ankara, Turkey
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j25]Adil Kaan Akan
, Emre Akbas, Fatos T. Yarman-Vural:
Just noticeable difference for machine perception and generation of regularized adversarial images with minimal perturbation. Signal Image Video Process. 16(6): 1595-1606 (2022)- [c94]Mustafa Kagan Gürkan, Nafiz Arica, Fatos T. Yarman-Vural:
A Scoring Method for Interpretability of Concepts in Convolutional Neural Networks. SIU 2022: 1-4 - [c93]Hazal Mogultay, Sinan Kalkan, Fatos T. Yarman-Vural:
An Analysis on Disentanglement in Machine Learning. SIU 2022: 1-4 - 2021
- [j24]Lubna Shibly Mokatren, Rashid Ansari, Ahmet Enis Çetin, Alex D. Leow, Olusola Ajilore, Heide Klumpp, Fatos T. Yarman-Vural:
EEG Classification by Factoring in Sensor Spatial Configuration. IEEE Access 9: 19053-19065 (2021) - [j23]Abdullah Alchihabi, Omer Ekmekci, Baran Baris Kivilcim, Sharlene D. Newman, Fatos T. Yarman-Vural:
Analyzing Complex Problem Solving by Dynamic Brain Networks. Frontiers Neuroinformatics 15: 670052 (2021) - [c92]Gonul Gunal Degirmendereli, Fatos T. Yarman-Vural:
Representation of Cognitive States by Shannon Entropy. SIU 2021: 1-4 - [i17]Adil Kaan Akan, Emre Akbas, Fatos T. Yarman-Vural:
Just Noticeable Difference for Machine Perception and Generation of Regularized Adversarial Images with Minimal Perturbation. CoRR abs/2102.08079 (2021) - 2020
- [c91]Adil Kaan Akan, Mehmet Ali Genc, Fatos T. Yarman-Vural:
Just Noticeable Difference for Machines to Generate Adversarial Images. ICIP 2020: 2171-2175 - [c90]Gonul Gunal Degirmendereli, Fatos T. Yarman-Vural:
Estimating Static and Dynamic Brain Networks by Kulback-Leibler Divergence from fMRI Data. ICPR 2020: 5913-5919 - [i16]Adil Kaan Akan, Mehmet Ali Genc, Fatos T. Yarman-Vural:
Just Noticeable Difference for Machines to Generate Adversarial Images. CoRR abs/2001.11064 (2020)
2010 – 2019
- 2019
- [c89]Gonul Gunal Degirmendereli, Sharlene D. Newman, Fatos T. Yarman-Vural:
On the Entropy of Brain Anatomic Regions for Complex Problem Solving. BIBE 2019: 603-608 - [c88]Lubna Shibly Mokatren, Rashid Ansari, Ahmet Enis Çetin, Alex D. Leow, Olusola Ajilore, Heide Klumpp, Fatos T. Yarman-Vural:
EEG Classification based on Image Configuration in Social Anxiety Disorder. NER 2019: 577-580 - [c87]Adil Kaan Akan, Baran Baris Kivilcim, Emre Akbas, Sharlene D. Newman, Fatos T. Yarman-Vural:
Modeling and Decoding Complex Problem Solving Process by Artificial Neural Networks. SIU 2019: 1-4 - [i15]Lubna Shibly Mokatren, Rashid Ansari, Ahmet Enis Çetin, Alex D. Leow, Heide Klumpp, Olusola Ajilore, Fatos T. Yarman-Vural:
Improved EEG Classification by factoring in sensor topography. CoRR abs/1905.09472 (2019) - 2018
- [c86]Arman Afrasiyabi, Diaa Badawi, Baris Nasir, Ozan Yildiz, Fatos T. Yarman-Vural, A. Enis Çetin:
Non-Euclidean Vector Product for Neural Networks. ICASSP 2018: 6862-6866 - [c85]Gizem Aktas, Fatih Nar, Fatos Tünay Yarman Vural:
Correlation-Based Variational Change Detection for Elevation Models. IGARSS 2018: 1930-1933 - [c84]Abdullah Alchihabi, Baran B. Kivilicim, Sharlene D. Newman, Fatos T. Yarman-Vural:
A dynamic network representation of fMRI for modeling and analyzing the problem solving task. ISBI 2018: 114-117 - [c83]Hazal Mogultay, Fatos Tünay Yarman Vural:
BrainParcel: A Brain Parcellation Algorithm for Cognitive State Classification. GRAIL/Beyond-MIC@MICCAI 2018: 32-42 - [c82]Baran Baris Kivilcim, Itir Önal Ertugrul, Fatos Tünay Yarman Vural:
Modeling Brain Networks with Artificial Neural Networks. GRAIL/Beyond-MIC@MICCAI 2018: 43-53 - [c81]Abdullah Alchihabi, Baran B. Kivilicim, Omer Ekmekci, Sharlene D. Newman, Fatos T. Yarman-Vural:
Decoding cognitive subtasks of complex problem solving using fMRI signals. SIU 2018: 1-4 - [i14]Baran Baris Kivilcim, Itir Önal Ertugrul, Fatos T. Yarman-Vural:
Modeling Brain Networks with Artificial Neural Networks. CoRR abs/1807.08368 (2018) - [i13]Abdullah Alchihabi, Omer Ekmekci, Baran B. Kivilicim, Sharlene D. Newman, Fatos T. Yarman-Vural:
On the Brain Networks of Complex Problem Solving. CoRR abs/1810.05077 (2018) - [i12]Lubna Shibly Mokatren, Rashid Ansari, Ahmet Enis Çetin, Alex D. Leow, Olusola Ajilore, Heide Klumpp, Fatos T. Yarman-Vural:
EEG Classification based on Image Configuration in Social Anxiety Disorder. CoRR abs/1812.02865 (2018) - 2017
- [j22]Orhan Firat, Kyunghyun Cho, Baskaran Sankaran, Fatos T. Yarman-Vural, Yoshua Bengio:
Multi-way, multilingual neural machine translation. Comput. Speech Lang. 45: 236-252 (2017) - [j21]Itir Onal, Mete Ozay, Eda Mizrak, Ilke Öztekin, Fatos Tünay Yarman Vural:
A New Representation of fMRI Signal by a Set of Local Meshes for Brain Decoding. IEEE Trans. Signal Inf. Process. over Networks 3(4): 683-694 (2017) - [c80]Burak Velioglu, Fatos T. Yarman-Vural:
Transfer learning for brain decoding using deep architectures. IEEE ICCI*CC 2017: 65-70 - [c79]Arash Rahnama, Abdullah Alchihabi, Vijay Gupta, Panos J. Antsaklis, Fatos T. Yarman-Vural:
Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning. BIBE 2017: 75-80 - [c78]Arman Afrasiyabi, Baris Nasir, Ozan Yildiz, Fatos T. Yarman-Vural, A. Enis Çetin:
An energy efficient additive neural network. SIU 2017: 1-4 - [c77]Hazal Mogultay, Fatos Tünay Yarman Vural:
Cognitive learner: An ensemble learning architecture for cognitive state classification. SIU 2017: 1-4 - [i11]Arman Afrasiyabi, Ozan Yildiz, Baris Nasir, Fatos T. Yarman-Vural, A. Enis Çetin:
Energy Saving Additive Neural Network. CoRR abs/1702.02676 (2017) - [i10]Arash Rahnama, Abdullah Alchihabi, Vijay Gupta, Panos J. Antsaklis, Fatos T. Yarman-Vural:
Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning. CoRR abs/1708.04232 (2017) - 2016
- [j20]Mete Ozay, Fatos Tünay Yarman Vural:
Hierarchical distance learning by stacking nearest neighbor classifiers. Inf. Fusion 29: 14-31 (2016) - [j19]Çaglar Senaras, Fatos T. Yarman-Vural:
A Self-Supervised Decision Fusion Framework for Building Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(5): 1780-1791 (2016) - [j18]Mete Ozay, Inaki Esnaola, Fatos Tünay Yarman Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Machine Learning Methods for Attack Detection in the Smart Grid. IEEE Trans. Neural Networks Learn. Syst. 27(8): 1773-1786 (2016) - [c76]Baris Nasir, Fatos T. Yarman-Vural:
Simplification and visualization of brain network extracted from fMRI data using CEREBRA. ICCI*CC 2016: 174-181 - [c75]Arman Afrasiyabi, Itir Onal, Fatos T. Yarman-Vural:
A Sparse Temporal Mesh Model for brain decoding. ICCI*CC 2016: 198-206 - [c74]Baris Nasir, Fatos T. Yarman-Vural:
CEREBRA: A 3-D visualization tool for brain network extracted from fMRI data. EMBC 2016: 1147-1150 - [c73]Orhan Firat, Baskaran Sankaran, Yaser Al-Onaizan, Fatos T. Yarman-Vural, Kyunghyun Cho:
Zero-Resource Translation with Multi-Lingual Neural Machine Translation. EMNLP 2016: 268-277 - [c72]Gunes Sucu, Emre Akbas, Ilke Öztekin, Eda Mizrak, Fatos T. Yarman-Vural:
Decoding cognitive states using the bag of words model on fMRI time series. SIU 2016: 2245-2248 - [c71]Arman Afrasiyabi, Itir Onal, Fatos T. Yarman-Vural:
Effect of voxel selection on temporal mesh model for brain decoding. SIU 2016: 2249-2252 - [c70]Ozan Yildiz, Fethiye Irmak Dogan, Ilke Öztekin, Eda Mizrak, Fatos T. Yarman-Vural:
A robust normalization method for fMRI data for brain decoding. SIU 2016: 2269-2272 - [i9]Itir Onal, Mete Ozay, Eda Mizrak, Ilke Öztekin, Fatos T. Yarman-Vural:
Modeling the Sequence of Brain Volumes by Local Mesh Models for Brain Decoding. CoRR abs/1603.01067 (2016) - [i8]Orhan Firat, Baskaran Sankaran, Yaser Al-Onaizan, Fatos T. Yarman-Vural, Kyunghyun Cho:
Zero-Resource Translation with Multi-Lingual Neural Machine Translation. CoRR abs/1606.04164 (2016) - [i7]Itir Önal, Mete Ozay, Fatos Tünay Yarman Vural:
A Hierarchical Multi-resolution Mesh Network for Brain Decoding. CoRR abs/1607.07695 (2016) - [i6]Itir Önal Ertugrul, Mete Ozay, Fatos T. Yarman-Vural:
Encoding the Local Connectivity Patterns of fMRI for Cognitive State Classification. CoRR abs/1610.05036 (2016) - 2015
- [j17]Özge Öztimur Karadag, Çaglar Senaras, Fatos T. Yarman-Vural:
Segmentation Fusion for Building Detection Using Domain-Specific Information. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(7): 3305-3315 (2015) - [c69]Itir Önal, Mete Ozay, Fatos T. Yarman-Vural:
Functional Mesh Model with Temporal Measurements for brain decoding. EMBC 2015: 2624-2628 - [c68]Sarper Alkan, Fatos T. Yarman-Vural:
Ensembling brain regions for brain decoding. EMBC 2015: 2948-2951 - [c67]Orhan Firat, Emre Aksan, Ilke Öztekin, Fatos T. Yarman-Vural:
Learning Deep Temporal Representations for fMRI Brain Decoding. MLMMI@ICML 2015: 25-34 - [c66]Itir Önal, Mete Ozay, Fatos T. Yarman-Vural:
Modeling Voxel Connectivity for Brain Decoding. PRNI 2015: 5-8 - [c65]Özge Öztimur Karadag, Mehmet Akif Akkus, Sinan Kalkan, Fatos T. Yarman-Vural:
An MRF framework for co-solving image segmentation and border ownership. SIU 2015: 839-842 - [c64]Itir Onal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Fatos T. Yarman-Vural:
Bilişsel durum analizi i~in beyin Aği modeli. SIU 2015: 1688-1692 - [c63]Hazal Mogultay, Sarper Alkan, Fatos T. Yarman-Vural:
Classification of fMRI data by using clustering. SIU 2015: 2381-2383 - [c62]Arman Afrasiyabi, Fatos T. Yarman-Vural:
fMRG Verilerinde Temel Bileşenler Analizi ve Özyinemeli Boyut Eliminasyonu Kullanarak Boyut Küçültme. SIU 2015: 2438-2441 - [i5]Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models. CoRR abs/1502.04254 (2015) - [i4]Mete Ozay, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Fusion of Image Segmentation Algorithms using Consensus Clustering. CoRR abs/1502.05435 (2015) - [i3]Mete Özay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Machine Learning Methods for Attack Detection in the Smart Grid. CoRR abs/1503.06468 (2015) - 2014
- [j16]Özge Öztimur Karadag, Fatos T. Yarman-Vural:
Image segmentation by fusion of low level and domain specific information via Markov Random Fields. Pattern Recognit. Lett. 46: 75-82 (2014) - [c61]Burak Velioglu, Emre Aksan, Itir Onal, Orhan Firat, Mete Ozay, Fatos T. Yarman-Vural:
Functional networks of anatomic brain regions. ICCI*CC 2014: 53-60 - [c60]Orhan Firat, Like Oztekin, Fatos T. Yarman-Vural:
Deep learning for brain decoding. ICIP 2014: 2784-2788 - [c59]Özge Öztimur Karadag, Fatos T. Yarman-Vural:
Fusion of Image Segmentations under Markov, Random Fields. ICPR 2014: 930-935 - [c58]Itir Onal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Ilke Öztekin, Fatos T. Yarman-Vural:
Modeling the Brain Connectivity for Pattern Analysis. ICPR 2014: 3339-3344 - [c57]Orhan Firat, Gulcan Can, Fatos T. Yarman-Vural:
Representation Learning for Contextual Object and Region Detection in Remote Sensing. ICPR 2014: 3708-3713 - [c56]Özge Öztimur Karadag, Çaglar Senaras, Fatos T. Yarman-Vural:
Segmentation and decision fusion for building detection. IGARSS 2014: 1604-1607 - [c55]Itir Önal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Like Oztekin, Fatos T. Yarman-Vural:
Estimating brain connectivity for pattern analysis. SIU 2014: 1806-1809 - [c54]Sarper Alkan, Fatos T. Yarman-Vural:
Localization of semantic category classification in fMRI images. SIU 2014: 2178-2181 - 2013
- [j15]Orhan Firat, Mete Özay, Itir Önal, Ilke Öztekin, Fatos T. Yarman-Vural:
Enhancing Local Linear Models Using Functional Connectivity for Brain State Decoding. Int. J. Cogn. Informatics Nat. Intell. 7(3): 46-57 (2013) - [j14]Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models. IEEE J. Sel. Areas Commun. 31(7): 1306-1318 (2013) - [j13]Çaglar Senaras, Mete Ozay, Fatos T. Yarman-Vural:
Building Detection With Decision Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(3): 1295-1304 (2013) - [c53]Orhan Firat, Mete Ozay, Itir Onal, Ilke Öztekin, Fatos T. Yarman-Vural:
Functional Mesh Learning for pattern analysis of cognitive processes. ICCI*CC 2013: 161-167 - [c52]Itir Onal, Mete Ozay, Orhan Firat, Ilke Öztekin, Fatos T. Yarman-Vural:
An information theoretic approach to classify cognitive states using fMRI. BIBE 2013: 1-6 - [c51]Itir Onal, Mete Ozay, Orhan Firat, Ilke Öztekin, Fatos Tünay Yarman Vural:
Analyzing the information distribution in the fMRI measurements by estimating the degree of locality. EMBC 2013: 6772-6775 - [c50]Orhan Firat, Mete Ozay, Itir Onal, Ilke Öztekin, Fatos Tünay Yarman Vural:
Representation of cognitive processes using the minimum spanning tree of local meshes. EMBC 2013: 6780-6783 - [c49]Özge Öztimur Karadag, Fatos T. Yarman-Vural:
MRF Based Image Segmentation Augmented with Domain Specific Information. ICIAP (2) 2013: 61-70 - [c48]Omer Ekmekci, Orhan Firat, Mete Ozay, Ilke Öztekin, Fatos T. Yarman-Vural, Uygar Öztekin:
Mesh learning for object classification using fMRI measurements. ICIP 2013: 2631-2634 - [c47]Mete Ozay, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Fusion of image segmentation algorithms using consensus clustering. ICIP 2013: 4049-4053 - [c46]Ümit Rusen Aktas, Orhan Firat, Fatos T. Yarman-Vural:
Dry dock detection in satellite images with representation learning. SIU 2013: 1-4 - [c45]Gulcan Can, Orhan Firat, Fatos T. Yarman-Vural:
Contextual object recoğnition with conditional random fields. SIU 2013: 1-4 - [c44]Orhan Firat, Mete Ozay, Itir Önal, Ilke Öztekin, Fatos T. Yarman-Vural:
Cognitive process representation with minimum spanning tree of local meshes. SIU 2013: 1-4 - [c43]Orhan Firat, Fatos T. Yarman-Vural:
Representation learning with convolutional sparse autoencoders for remote sensing. SIU 2013: 1-4 - [c42]Itir Önal, Mete Ozay, Orhan Firat, Ilke Öztekin, Fatos T. Yarman-Vural:
Information distribution analysis in the fMRI measurements with degree of locality estimation. SIU 2013: 1-4 - [c41]Gulsah Tumuklu Ozyer, Fatos T. Yarman-Vural:
Airplane localization in satellite images by using visual attention. SIU 2013: 1-4 - 2012
- [c40]Çaglar Senaras, Baris Yüksel, Mete Ozay, Fatos T. Yarman-Vural:
Automatic building detection with feature space fusion using ensemble learning. IGARSS 2012: 6713-6716 - [c39]Ümit Rusen Aktas, Gulcan Can, Fatos T. Yarman-Vural:
A robust approach for shoreline detection in satellite imagery. SIU 2012: 1-4 - [c38]Orhan Firat, Mete Ozay, Itir Önal, Ilke Öztekin, Fatos T. Yarman-Vural:
Mesh learning approach for brain data modeling. SIU 2012: 1-4 - [c37]Orhan Firat, Okan Tarhan Tursun, Fatos T. Yarman-Vural:
Application of context invariants in airport region of interest detection for multi-spectral satellite imagery. SIU 2012: 1-4 - [c36]Özge Öztimur Karadag, Fatos T. Yarman-Vural:
Semantic image segmentation with Markov Random Fields. SIU 2012: 1-4 - [c35]Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Distributed models for sparse attack construction and state vector estimation in the smart grid. SmartGridComm 2012: 306-311 - [c34]Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Smarter security in the smart grid. SmartGridComm 2012: 312-317 - [c33]Gulcan Can, Orhan Firat, Fatos Tünay Yarman Vural:
Conditional Random Fields for Land Use/Land Cover Classification and Complex Region Detection. SSPR/SPR 2012: 216-224 - [i2]Mete Ozay, Fatos T. Yarman-Vural:
A New Fuzzy Stacked Generalization Technique for Deep learning and Analysis of its Performance. CoRR abs/1204.0171 (2012) - [i1]Mete Ozay, Ilke Öztekin, Uygar Öztekin, Fatos T. Yarman-Vural:
Mesh Learning for Classifying Cognitive Processes. CoRR abs/1205.2382 (2012) - 2011
- [c32]Gulsah Tumuklu Ozyer, Fatos T. Yarman-Vural:
An Attention-Based Image Retrieval System. ICMLA (1) 2011: 96-99
2000 – 2009
- 2009
- [c31]Özge Öztimur Karadag, Fatos T. Yarman-Vural:
HANOLISTIC: A Hierarchical Automatic Image Annotation System Using Holistic Approach. CVPR Workshops 2009: 16-21 - [c30]Mete Ozay, Fatos Tünay Yarman Vural:
A new decision fusion technique for image classification. ICIP 2009: 2189-2192 - [c29]Ahmet Sayar, Fatos Tünay Yarman Vural:
Image annotation with semi-supervised clustering. ISCIS 2009: 12-17 - [c28]Mete Ozay, Okan Akalin, Fatos T. Yarman-Vural:
Ensemble detection: A new architecture for multisensor data fusion with ensemble learning for object detection. ISCIS 2009: 420-425 - 2008
- [c27]Mete Ozay, Fatos Tünay Yarman Vural:
On the Performance of Stacked Generalization Classifiers. ICIAR 2008: 445-454 - 2007
- [c26]Emre Akbas, Fatos T. Yarman-Vural:
Automatic Image Annotation by Ensemble of Visual Descriptors. CVPR 2007 - 2006
- [c25]Mutlu Uysal, Emre Akbas, Fatos T. Yarman-Vural:
A Hierarchical Classification System Based on Adaptive Resonance Theory. ICIP 2006: 2913-2916 - [c24]Emre Akbas, Fatos T. Yarman-Vural:
Design of a Feature Set for Face Recognition Problem. ISCIS 2006: 239-247 - 2005
- [c23]Nafiz Arica, Fatos T. Yarman-Vural:
Shape Similarity Measurement for Boundary Based Features. ICIAR 2005: 431-438 - [c22]Mutlu Uysal, Fatos T. Yarman-Vural:
ORF-NT: An Object-Based Image Retrieval Framework Using Neighborhood Trees. ISCIS 2005: 595-605 - 2004
- [c21]Ömer Önder Tola, Nafiz Arica, Fatos T. Yarman-Vural:
Shape Recognition with Generalized Beam Angle Statistics. ISCIS 2004: 391-399 - [c20]Özge Can Özcanli, Fatos T. Yarman-Vural:
An Image Retrieval System Based on Region Classification. ISCIS 2004: 449-458 - [c19]Mutlu Uysal, Fatos T. Yarman-Vural:
A content based image retrieval system based on the fuzzy ARTMAP architecture. ACM Multimedia 2004: 248-251 - 2003
- [j12]Yaowu Xu, Pinar Duygulu, Eli Saber, A. Murat Tekalp, Fatos T. Yarman-Vural:
Object-based image labeling through learning by example and multi-level segmentation. Pattern Recognit. 36(6): 1407-1423 (2003) - [j11]Abdurrahman Çarkacioglu, Fatos T. Yarman-Vural:
SASI: a generic texture descriptor for image retrieval. Pattern Recognit. 36(11): 2615-2633 (2003) - [j10]Nafiz Arica, Fatos T. Yarman-Vural:
BAS: a perceptual shape descriptor based on the beam angle statistics. Pattern Recognit. Lett. 24(9-10): 1627-1639 (2003) - [c18]Mutlu Uysal, Fatos T. Yarman-Vural:
Selection of the Best Representative Feature and Membership Assignment for Content-Based Fuzzy Image Database. CIVR 2003: 141-151 - [c17]Nafiz Arica, Fatos T. Yarman-Vural:
A Compact Shape Descriptor Based on the Beam Anlge Statistics. CIVR 2003: 152-162 - 2002
- [j9]Nafiz Arica, Fatos T. Yarman-Vural:
Optical Character Recognition for Cursive Handwriting. IEEE Trans. Pattern Anal. Mach. Intell. 24(6): 801-813 (2002) - [c16]Abdurrahman Çarkacioglu, Fatos T. Yarman-Vural:
Learning similarity space. ICIP (1) 2002: 405-408 - [c15]Nafiz Arica, Fatos T. Yarman-Vural:
A Perceptual Shape Descriptor. ICPR (3) 2002: 375-378 - 2001
- [j8]Nafiz Arica, Fatos T. Yarman-Vural:
An overview of character recognition focused on off-line handwriting. IEEE Trans. Syst. Man Cybern. Syst. 31(2): 216-233 (2001) - [c14]Abdurrahman Çarkacioglu, Fatos T. Yarman-Vural:
SASI: a new texture descriptor for content based image retrieval. ICIP (2) 2001: 137-140 - [c13]Pinar Duygulu, Fatos T. Yarman-Vural:
Multilevel image segmentation and object representation for content-based image retrieval. Storage and Retrieval for Media Databases 2001: 460-469 - 2000
- [j7]Nafiz Arica, Fatos T. Yarman-Vural:
One-dimensional representation of two-dimensional information for HMM based handwriting recognition. Pattern Recognit. Lett. 21(6-7): 583-592 (2000) - [c12]