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2020 – today
- 2024
- [j49]Vasileios Stamatis
, Michail Salampasis
Machine learning methods for results merging in patent retrieval. Data Technol. Appl. 58(3): 363-379 (2024) - [c68]Nikolaos Ntampakis, Konstantinos I. Diamantaras, Konstantinos Goulianas, Ioanna Chouvarda, Vasileios Argyriou, Panagiotis G. Sarigiannidis:
Optimizing Melanoma Prognosis Through Synergistic Preprocessing and Deep Learning Architecture for Dermoscopic Thickness Prediction. MIUA (2) 2024: 323-335 - [i7]Nikolaos Ntampakis, Konstantinos I. Diamantaras, Ioanna Chouvarda, Vasileios Argyriou, Panagiotis Sarigianndis:
Enhanced Deep Learning Methodologies and MRI Selection Techniques for Dementia Diagnosis in the Elderly Population. CoRR abs/2407.17324 (2024) - [i6]Pantelis I. Kaplanoglou, Konstantinos I. Diamantaras:
Learning local discrete features in explainable-by-design convolutional neural networks. CoRR abs/2411.00139 (2024) - 2023
- [c67]Nikolaos Ntampakis, Konstantinos I. Diamantaras, Konstantinos Goulianas, Ioanna Chouvarda:
Predicting the Onset of Dementia in Initially Healthy Individuals Using Demographic and Clinical Data. BIBE 2023: 364-368 - [c66]Evangelos Kostopoulos, Konstantinos I. Diamantaras, Ioanna Chouvarda, Magda Tsolaki:
Diagnosis of Alzheimer's disease and Mild Cognitive Impairment using Rethinking and Deep Neural Networks. DSP 2023: 1-5 - 2022
- [j48]Georgios Gravanis
Fault detection and diagnosis for non-linear processes empowered by dynamic neural networks. Comput. Chem. Eng. 156: 107531 (2022) - [j47]Georgios Lampropoulos, Euclid Keramopoulos, Konstantinos I. Diamantaras:
Semantically Enriched Augmented Reality Applications: A Proposed System Architecture and a Case Study. Int. J. Recent Contributions Eng. Sci. IT 10(1) (2022) - [j46]Spilios Evmorfos
Reinforcement Learning for Motion Policies in Mobile Relaying Networks. IEEE Trans. Signal Process. 70: 850-861 (2022) - [c65]Ioanna Chouvarda, Lampros Mpaltadoros, Ioanna Boutziona, George Nikolaos Tsakonas, Magda Tsolaki, Konstantinos I. Diamantaras:
Exploring Classification in Open and Closed Eyes EEG Data for People with Cognitive Disorders. BIOSIGNALS 2022: 298-305 - [c64]Georgios Gkenios
Diagnosis of Alzheimer's disease and Mild Cognitive Impairment using EEG and Recurrent Neural Networks. EMBC 2022: 3179-3182 - [c63]Eleni Kamateri, Vasileios Stamatis, Konstantinos I. Diamantaras, Michail Salampasis:
Automated Single-Label Patent Classification using Ensemble Classifiers. ICMLC 2022: 324-330 - [c62]Alkiviadis Katsalis, Konstantinos Christantonis, Charalampos Tsioustas, Pantelis I. Kaplanoglou, Maximos A. Kaliakatsos-Papakostas, Athanasios Katsamanis, Konstantinos I. Diamantaras, Vassilis Katsouros, Evita F. Fotinea, Depy Panga, Dimitra Loupi:
NLP-Theatre: Employing Speech Recognition Technologies for Improving Accessibility and Augmenting the Theatrical Experience. IntelliSys (2) 2022: 507-526 - [c61]Grigoris Bastas, Maximos A. Kaliakatsos-Papakostas, Georgios Paraskevopoulos, Pantelis I. Kaplanoglou, Konstantinos Christantonis, Charalampos Tsioustas, Dimitris Mastrogiannopoulos, Depy Panga, Evita F. Fotinea, Athanasios Katsamanis, Vassilis Katsouros, Konstantinos I. Diamantaras, Petros Maragos:
Towards a DHH Accessible Theater: Real-Time Synchronization of Subtitles and Sign Language Videos with ASR and NLP Solutions. PETRA 2022: 653-661 - [i5]Eleni Kamateri, Vasileios Stamatis, Konstantinos I. Diamantaras, Michail Salampasis:
Automated Single-Label Patent Classification using Ensemble Classifiers. CoRR abs/2203.03552 (2022) - 2021
- [c60]Spilios Evmorfos, Konstantinos I. Diamantaras, Athina P. Petropulu:
Double Deep Q Learning with Gradient Biasing for Mobile Relay Beamforming Networks. ACSCC 2021: 742-746 - [c59]Konstantinos I. Diamantaras, Michail Salampasis, Alkiviadis Katsalis, Konstantinos Christantonis:
Predicting Shopping Intent of e-Commerce Users using LSTM Recurrent Neural Networks. DATA 2021: 252-259 - [c58]Marina Delianidi, Konstantinos I. Diamantaras, George Chrysogonidis, Vasileios Nikiforidis:
Student Performance Prediction Using Dynamic Neural Models. EDM 2021 - [c57]Zhaoyi Xu
Learning to Select for Mimo Radar Based on Hybrid Analog-Digital Beamforming. ICASSP 2021: 8228-8232 - [c56]Michail Salampasis, Theodosios Siomos, Alkiviadis Katsalis, Konstantinos I. Diamantaras, Konstantinos Christantonis, Marina Delianidi
Comparison of RNN and Embeddings Methods for Next-item and Last-basket Session-based Recommendations. ICMLC 2021: 477-484 - [c55]Spilios Evmorfos, Konstantinos I. Diamantaras, Athina P. Petropulu:
Deep Q Learning With Fourier Feature Mapping For Mobile Relay Beamforming Networks. SPAWC 2021: 126-130 - [i4]Marina Delianidi, Konstantinos I. Diamantaras, George Chrysogonidis, Vasileios Nikiforidis:
Student Performance Prediction Using Dynamic Neural Models. CoRR abs/2106.00524 (2021) - [i3]Marina Delianidi, Michail Salampasis, Konstantinos I. Diamantaras, Theodosios Siomos, Alkiviadis Katsalis, Iphigenia Karaveli:
A Graph-based Method for Session-based Recommendations. CoRR abs/2106.12085 (2021) - 2020
- [j45]Georgios Lampropoulos
Enhancing the functionality of augmented reality using deep learning, semantic web and knowledge graphs: A review. Vis. Informatics 4(1): 32-42 (2020) - [c54]Stefanos Ougiaroglou
Dynamic k-NN Classification Based on Region Homogeneity. ADBIS (Short Papers) 2020: 27-37 - [c53]Anastasios Dimas, Konstantinos I. Diamantaras, Athina P. Petropulu:
Q-Learning Based Predictive Relay Selection for Optimal Relay Beamforming. ICASSP 2020: 5030-5034 - [c52]Marina Delianidi
A Graph-based Method for Session-based Recommendations. PCI 2020: 264-267
2010 – 2019
- 2019
- [j44]Georgios Gravanis
Behind the cues: A benchmarking study for fake news detection. Expert Syst. Appl. 128: 201-213 (2019) - [j43]Athina P. Petropulu
Contactless Monitoring of Critical Infrastructure [From the Guest Editors]. IEEE Signal Process. Mag. 36(2): 19-21 (2019) - [j42]Yi Han
Side-Channel-Based Code-Execution Monitoring Systems: A Survey. IEEE Signal Process. Mag. 36(2): 22-35 (2019) - [c51]Anastasios Dimas, Konstantinos I. Diamantaras, Athina P. Petropulu:
A Reinforcement Learning Approach for Mobile Beamforming. ACSSC 2019: 1432-1436 - [c50]Christos Timplalexis
Classification of Sleep Stages for Healthy Subjects and Patients with Minor Sleep Disorders. BIBE 2019: 344-351 - [c49]George Pardis, Konstantinos I. Diamantaras, Stefanos Ougiaroglou
Fast Tree-Based Classification via Homogeneous Clustering. IDEAL (1) 2019: 514-524 - [c48]Konstantinos I. Diamantaras, Athina P. Petropulu:
Optimal Mobile Relay Beamforming Via Reinforcement Learning. MLSP 2019: 1-6 - [c47]Eleni Partalidou, Eleftherios Spyromitros Xioufis, Stavros Doropoulos, Stavros Vologiannidis, Konstantinos I. Diamantaras:
Design and implementation of an open source Greek POS Tagger and Entity Recognizer using spaCy. WI 2019: 337-341 - [i2]Eleni Partalidou, Eleftherios Spyromitros Xioufis, Stavros Doropoulos, Stavros Vologiannidis, Konstantinos I. Diamantaras:
Design and implementation of an open source Greek POS Tagger and Entity Recognizer using spaCy. CoRR abs/1912.10162 (2019) - 2018
- [j41]Stefanos Ougiaroglou
Exploring the effect of data reduction on Neural Network and Support Vector Machine classification. Neurocomputing 280: 101-110 (2018) - [j40]Yinan Yu
CLAss-Specific Subspace Kernel Representations and Adaptive Margin Slack Minimization for Large Scale Classification. IEEE Trans. Neural Networks Learn. Syst. 29(2): 440-456 (2018) - [c46]Pantelis I. Kaplanoglou, Konstantinos I. Diamantaras:
Margin-Based Sample Filtering for Image Classification Using Convolutional Neural Networks. ICIP 2018: 1-5 - 2017
- [j39]George A. Papakostas
Emerging Trends in Machine Learning for Signal Processing. Comput. Intell. Neurosci. 2017: 6521367:1-6521367:2 (2017) - [j38]Maria Giatsoglou, Manolis G. Vozalis, Konstantinos I. Diamantaras
Sentiment analysis leveraging emotions and word embeddings. Expert Syst. Appl. 69: 214-224 (2017) - [j37]George A. Papakostas
Parallel pattern classification utilizing GPU-based kernelized Slackmin algorithm. J. Parallel Distributed Comput. 99: 90-99 (2017) - [c45]Konstantinos Tziridis, Th. Kalampokas, George A. Papakostas, Kostas I. Diamantaras:
Airfare prices prediction using machine learning techniques. EUSIPCO 2017: 1036-1039 - 2016
- [c44]Yinan Yu, Konstantinos I. Diamantaras
Adaptive margin slack minimization in RKHS for classification. ICASSP 2016: 2319-2323 - [c43]Stefanos Ougiaroglou
Efficient Support Vector Machine Classification Using Prototype Selection and Generation. AIAI 2016: 328-340 - [c42]Konstantinos I. Diamantaras
Data privacy protection by kernel subspace projection and generalized eigenvalue decomposition. MLSP 2016: 1-6 - [c41]Yinan Yu, Konstantinos I. Diamantaras
Enhanced distance subset approximation using class-specific subspace kernel representation for kernel approximation. MLSP 2016: 1-6 - [e5]Francesco A. N. Palmieri, Aurelio Uncini, Kostas I. Diamantaras, Jan Larsen:
26th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2016, Vietri sul Mare, Salerno, Italy, September 13-16, 2016. IEEE 2016, ISBN 978-1-5090-0746-2 [contents] - 2015
- [j36]Vasilios Plakandaras
Market sentiment and exchange rate directional forecasting. Algorithmic Finance 4(1-2): 69-79 (2015) - [j35]Margarita Kotti
Efficient binary classification through energy minimisation of slack variables. Neurocomputing 148: 498-511 (2015) - [j34]Thanasis Vafeiadis
A comparison of machine learning techniques for customer churn prediction. Simul. Model. Pract. Theory 55: 1-9 (2015) - [c40]Panagiotis G. Sarigiannidis
A metaheuristic bandwidth allocation scheme for FiWi networks using Ant Colony Optimization. SCVT 2015: 1-6 - [i1]Panagiotis Stalidis
Machine Learning Sentiment Prediction based on Hybrid Document Representation. CoRR abs/1511.09107 (2015) - 2014
- [c39]Yinan Yu, Konstantinos I. Diamantaras, Tomas McKelvey, Sun-Yuan Kung:
Multiclass Ridge-adjusted Slack Variable Optimization using selected basis for fast classification. EUSIPCO 2014: 1178-1182 - [c38]Konstantinos I. Diamantaras, Theophilos Papadimitriou, Konstantinos Goulianas:
Analyzing data into quantized components. ICASSP 2014: 6211-6215 - [c37]George A. Papakostas, Konstantinos I. Diamantaras
Efficient data classification by GPU-accelerated linear mean squared slack minimization. MLSP 2014: 1-6 - 2013
- [j33]Konstantinos I. Diamantaras
Multi-Input Single-Output Nonlinear Blind Separation of Binary Sources. IEEE Trans. Signal Process. 61(11): 2866-2873 (2013) - [c36]Konstantinos I. Diamantaras, Theophilos Papadimitriou:
Blind identification of PAM-MIMO systems based on the distribution of output differences. EUSIPCO 2013: 1-5 - [c35]Yinan Yu, Konstantinos I. Diamantaras
Ridge-adjusted Slack Variable Optimization for supervised classification. MLSP 2013: 1-6 - [e4]Kostas I. Diamantaras, Georgios Evangelidis, Yannis Manolopoulos, Christos K. Georgiadis, Petros Kefalas, Demosthenes Stamatis:
Balkan Conference in Informatics, BCI '13, Thessaloniki, Greece, September 19-21, 2013. ACM 2013, ISBN 978-1-4503-1851-8 [contents] - 2012
- [c34]Margarita Kotti, Konstantinos I. Diamantaras:
Towards minimizing the energy of slack variables for binary classification. EUSIPCO 2012: 644-648 - [c33]Konstantinos I. Diamantaras
Binary classification by minimizing the mean squared slack. ICASSP 2012: 2057-2060 - 2011
- [j32]Kostas I. Diamantaras
Editorial for the special issue ICANN-2010. Neural Networks 24(8): 789-790 (2011) - [j31]Tülay Adali, David J. Miller, Konstantinos I. Diamantaras
Trends in Machine Learning for Signal Processing [In the Spotlight]. IEEE Signal Process. Mag. 28(6): 193-196 (2011) - [j30]Konstantinos I. Diamantaras
Blind Deconvolution of Multi-Input Single-Output Systems Using the Distribution of Point Distances. J. Signal Process. Syst. 65(3): 525-534 (2011) - [c32]Konstantinos I. Diamantaras
Blind separation of multiple binary sources from one nonlinear mixture. ICASSP 2011: 2108-2111 - 2010
- [j29]Ioannis Pitas, Vince D. Calhoun
Guest Editorial: Special Issue on Machine Learning for Signal Processing. J. Signal Process. Syst. 61(1): 1-2 (2010) - [j28]Markos Zampoglou, Theophilos Papadimitriou
From Low-Level Features to Semantic Classes: Spatial and Temporal Descriptors for Video Indexing. J. Signal Process. Syst. 61(1): 75-83 (2010) - [c31]Konstantinos I. Diamantaras, Konstantinos Papadimitriou:
Separating two binary sources from a single nonlinear mixture. ICASSP 2010: 1946-1949 - [c30]Markos Zampoglou, Theophilos Papadimitriou, Konstantinos I. Diamantaras:
Motion Descriptors for Semantic Video Indexing. SIGMAP 2010: 178-184 - [e3]Konstantinos I. Diamantaras, Wlodek Duch, Lazaros S. Iliadis:
Artificial Neural Networks - ICANN 2010 - 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6352, Springer 2010, ISBN 978-3-642-15818-6 [contents] - [e2]Konstantinos I. Diamantaras, Wlodek Duch, Lazaros S. Iliadis:
Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part II. Lecture Notes in Computer Science 6353, Springer 2010, ISBN 978-3-642-15821-6 [contents] - [e1]Konstantinos I. Diamantaras, Wlodek Duch, Lazaros S. Iliadis:
Artificial Neural Networks - ICANN 2010 - 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part III. Lecture Notes in Computer Science 6354, Springer 2010, ISBN 978-3-642-15824-7 [contents]
2000 – 2009
- 2009
- [j27]Konstantinos I. Diamantaras
Applying PCA neural models for the blind separation of signals. Neurocomputing 73(1-3): 3-9 (2009) - [c29]Konstantinos I. Diamantaras
Histogram Based Blind Identification and Source Separation from Linear Instantaneous Mixtures. ICA 2009: 227-234 - 2008
- [j26]Nikos Kofidis, Athanasios Margaris
Blind system identification: instantaneous mixtures of n sources. Int. J. Comput. Math. 85(9): 1333-1340 (2008) - [j25]Konstantinos I. Diamantaras
An Efficient Subspace Method for the Blind Identification of Multichannel FIR Systems. IEEE Trans. Signal Process. 56(12): 5833-5839 (2008) - 2007
- [c28]Konstantinos I. Diamantaras
Analytical Solution of the Blind Identification Problem for Multichannel FIR Systems Based on Second Order Statistics. ICASSP (3) 2007: 749-752 - 2006
- [j24]Konstantinos I. Diamantaras
A clustering approach for the blind separation of multiple finite alphabet sequences from a single linear mixture. Signal Process. 86(4): 877-891 (2006) - [j23]Konstantinos I. Diamantaras
Subspace-Based Channel Shortening for the Blind Separation of Convolutive Mixtures. IEEE Trans. Signal Process. 54(10): 3669-3677 (2006) - [j22]Konstantinos I. Diamantaras
Blind Deconvolution of Multi-Input Single-Output Systems With Binary Sources. IEEE Trans. Signal Process. 54(10): 3720-3731 (2006) - [c27]Konstantinos I. Diamantaras, Theophilos Papadimitriou, Efthimios Kotsialos:
A channel deflation approach for the blind deconvolution of a complex FIR channel with real input. EUSIPCO 2006: 1-5 - [c26]Ionas Michailidis, Konstantinos I. Diamantaras, Spiros Vasileiadis, Yannick Frère:
Greek Named Entity Recognition using Support Vector Machines, Maximum Entropy and Onetime. LREC 2006: 47-52 - 2005
- [c25]Konstantinos I. Diamantaras
Blind deconvolution of multi-input single-output systems with binary sources. ICASSP (3) 2005: 549-552 - [c24]Konstantinos I. Diamantaras
Blind separation of reflections using the image mixtures ratio. ICIP (2) 2005: 1034-1037 - 2004
- [j21]Theophilos Papadimitriou
Video scene segmentation using spatial contours and 3-D robust motion estimation. IEEE Trans. Circuits Syst. Video Technol. 14(4): 485-497 (2004) - [c23]Konstantinos I. Diamantaras, Theophilos Papadimitriou
Blind Deconvolution of SISO Systems with Binary Source Based on Recursive Channel Shortening. ICA 2004: 548-553 - [c22]Konstantinos I. Diamantaras, Theophilos Papadimitriou:
MIMO blind deconvolution using subspace-based filter deflation. ICASSP (4) 2004: 433-436 - 2003
- [j20]Ivan Bradaric, Athina P. Petropulu, Konstantinos I. Diamantaras
On blind identifiability of FIR-MIMO systems with cyclostationary inputs using second order statistics. IEEE Trans. Signal Process. 51(2): 434-441 (2003) - [j19]Ivan Bradaric, Athina P. Petropulu, Konstantinos I. Diamantaras
Blind MIMO FIR channel identification based on second-order spectra correlations. IEEE Trans. Signal Process. 51(6): 1668-1674 (2003) - [c21]Konstantinos I. Diamantaras, Theophilos Papadimitriou:
Blind signal separation using oriented PCA neural models. ICASSP (2) 2003: 733-736 - [c20]Konstantinos I. Diamantaras
Temporal filtering and oriented PCA neural networks for blind source separation. NNSP 2003: 369-378 - 2002
- [j18]Ivan Bradaric, Athina P. Petropulu, Konstantinos I. Diamantaras
Subspace design of low-rank estimators for higher-order statistics. J. Frankl. Inst. 339(2): 161-187 (2002) - [j17]Michail Salampasis, Konstantinos I. Diamantaras:
Experimental User-Centered Evaluation of an Open Hypermedia System and Web Information Seeking Environments. J. Digit. Inf. 2(4) (2002) - [j16]Konstantinos I. Diamantaras
Blind channel identification based on the geometry of the received signal constellation. IEEE Trans. Signal Process. 50(5): 1133-1143 (2002) - [c19]Ivan Bradaric, Athina P. Petropulu, Konstantinos I. Diamantaras:
On blind identifiability of FIR-MIMO systems with cyclostationary inputs using second order statistics. ICASSP 2002: 1745-1748 - 2001
- [c18]Konstantinos I. Diamantaras
Blind Source Separation Using Principal Component Neural Networks. ICANN 2001: 515-520 - [c17]Evangelos Loutas, Ioannis Pitas, Konstantinos I. Diamantaras:
Occlusion resistant object tracking. ICIP (2) 2001: 65-68 - [c16]Konstantinos I. Diamantaras
Blind identification of linear channels using the data constellation geometry. ISSPA 2001: 264-267 - 2000
- [j15]Konstantinos I. Diamantaras
Optimal reconstruction from quantized data. Signal Process. Image Commun. 15(9): 811-815 (2000) - [j14]Theophilos Papadimitriou
Robust estimation of rigid-body 3-D motion parameters based on point correspondences. IEEE Trans. Circuits Syst. Video Technol. 10(4): 541-549 (2000) - [j13]Konstantinos I. Diamantaras
Blind two-input-two-output FIR channel identification based on frequency domain second-order statistics. IEEE Trans. Signal Process. 48(2): 534-542 (2000) - [c15]Konstantinos I. Diamantaras:
Blind separation of multiple binary sources using a single linear mixture. ICASSP 2000: 2889-2892 - [c14]Theophilos Papadimitriou, Konstantinos I. Diamantaras, Michael G. Strintzis, Manos Roumeliotis:
A Novel Rigid Object Segmentation Method Based on Multiresolution 3-D Motion and Luminance Analysis. ICIP 2000: 323-326
1990 – 1999
- 1999
- [j12]Konstantinos I. Diamantaras
Optimal transform coding in the presence of quantization noise. IEEE Trans. Image Process. 8(11): 1508-1515 (1999) - [j11]Konstantinos I. Diamantaras
Optimal linear compression under unreliable representation and robust PCA neural models. IEEE Trans. Neural Networks 10(5): 1186-1195 (1999) - [c13]Konstantinos I. Diamantaras, Athina P. Petropulu:
Blind equalization of multiuser CDMA channels: a frequency-domain approach. ICASSP 1999: 1801-1804 - [c12]Theophilos Papadimitriou
Robust estimation of rigid body 3-D motion parameters from point correspondences. ICASSP 1999: 3349-3352 - [c11]Konstantinos I. Diamantaras, Athina P. Petropulu:
Adaptive blind MIMO system identification using principal component neural models. IJCNN 1999: 980-984 - 1998
- [j10]Konstantinos I. Diamantaras:
Robust hebbian learning and noisy principal component analysis. Int. J. Comput. Math. 67(1-2): 5-24 (1998) - [j9]Nicos Maglaveras
ECG pattern recognition and classification using non-linear transformations and neural networks: A review. Int. J. Medical Informatics 52(1-3): 191-208 (1998) - [j8]Konstantinos I. Diamantaras
Neural classifiers using one-time updating. IEEE Trans. Neural Networks 9(3): 436-447 (1998) - [j7]Telemachos Stamkopoulos
ECG analysis using nonlinear PCA neural networks for ischemia detection. IEEE Trans. Signal Process. 46(11): 3058-3067 (1998) - [c10]Konstantinos I. Diamantaras:
Second order Hebbian neural networks and blind source separation. EUSIPCO 1998: 1-4 - [c9]Konstantinos I. Diamantaras, Theophilos Papadimitriou, Michael G. Strintzis, Manos Roumeliotis:
Total Least Squares 3-D Motion Estimation. ICIP (1) 1998: 923-927 - 1997
- [j6]Konstantinos I. Diamantaras, Sun-Yuan Kung:
A Linear Systolic Array for Real-Time Morphological Image Processing. J. VLSI Signal Process. 17(1): 43-55 (1997) - [c8]Konstantinos I. Diamantaras, Michael G. Strintzis:
Noisy PCA theory and application in filter bank codec design. ICASSP 1997: 3857-3860 - 1996
- [j5]Konstantinos I. Diamantaras, W. H. Chou, Sun-Yuan Kung:
Dynamic programming implementation on array processor architectures. J. VLSI Signal Process. 13(1): 27-35 (1996) - [c7]Konstantinos I. Diamantaras, Michael G. Strintzis:
Camera motion parameter recovery under perspective projection. ICIP (3) 1996: 807-810 - [c6]Konstantinos I. Diamantaras:
Robust principal component extracting neural networks. ICNN 1996: 74-77 - 1994
- [j4]Konstantinos I. Diamantaras
Multilayer neural networks for reduced-rank approximation. IEEE Trans. Neural Networks 5(5): 684-697 (1994) - [j3]Sun-Yuan Kung, Konstantinos I. Diamantaras
Adaptive Principal component EXtraction (APEX) and applications. IEEE Trans. Signal Process. 42(5): 1202-1217 (1994) - [j2]Konstantinos I. Diamantaras
Cross-correlation neural network models. IEEE Trans. Signal Process. 42(11): 3218-3223 (1994) - [c5]Davi Geiger, Kostas I. Diamantaras:
Occlusion ambiguities in motion. ECCV (1) 1994: 175-180 - 1993
- [c4]Kostas I. Diamantaras, Davi Geiger:
Resolving Motion Ambiguities. NIPS 1993: 977-984 - 1991
- [j1]Konstantinos I. Diamantaras
A new transition count method for testing of logic circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 10(3): 407-410 (1991) - [c3]Kostas I. Diamantaras, Sun-Yuan Kung:
An unsupervised neural model for oriented principal component extraction. ICASSP 1991: 1049-1052 - 1990
- [c2]Sun-Yuan Kung, Kostas I. Diamantaras:
A neural network learning algorithm for adaptive principal component extraction (APEX). ICASSP 1990: 861-864 - [c1]Konstantinos I. Diamantaras, David L. Heine, Isaac D. Scherson:
Implementation of Neural Network Algorithms on the P3 Parallel Associative Processor. ICPP (1) 1990: 247-250
Coauthor Index
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