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Przemyslaw Spurek
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2020 – today
- 2024
- [j23]Lukasz Struski
, Pawel M. Morkisz
Efficient GPU implementation of randomized SVD and its applications. Expert Syst. Appl. 248: 123462 (2024) - [j22]Krzysztof Byrski
Gaussian model for closed curves. Expert Syst. Appl. 249: 123615 (2024) - [j21]Dominik Zimny, Joanna Waczynska, Tomasz Trzcinski
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud. Pattern Recognit. Lett. 185: 8-14 (2024) - [c32]Magdalena Proszewska, Marcin Mazur, Tomasz Trzcinski, Przemyslaw Spurek:
HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract). AAAI 2024: 23623-23625 - [c31]Maciej Zieba, Marcin Przewiezlikowski, Marek Smieja, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek:
RegFlow: Probabilistic Flow-Based Regression for Future Prediction. ACIIDS (Companion 2) 2024: 267-279 - [c30]Przemyslaw Spurek
Modeling 3D Surfaces with a Locally Conditioned Atlas. ICCS (2) 2024: 100-115 - [c29]Wojciech Zajac
NeRFlame: Flame-Based Conditioning of NeRF for 3D Face Rendering. ICCS (1) 2024: 346-361 - [c28]Adrian Suwala, Bartosz Wójcik, Magdalena Proszewska, Jacek Tabor, Przemyslaw Spurek, Marek Smieja:
Face Identity-Aware Disentanglement in StyleGAN. WACV 2024: 5210-5219 - [i60]Joanna Waczynska, Piotr Borycki, Slawomir Konrad Tadeja, Jacek Tabor, Przemyslaw Spurek:
GaMeS: Mesh-Based Adapting and Modification of Gaussian Splatting. CoRR abs/2402.01459 (2024) - [i59]Pawel Batorski, Dawid Malarz, Marcin Przewiezlikowski, Marcin Mazur, Slawomir Konrad Tadeja, Przemyslaw Spurek:
HyperPlanes: Hypernetwork Approach to Rapid NeRF Adaptation. CoRR abs/2402.01524 (2024) - [i58]Georgii Stanishevskii, Jakub Steczkiewicz, Tomasz Szczepanik, Slawomir Konrad Tadeja, Jacek Tabor, Przemyslaw Spurek:
ImplicitDeepfake: Plausible Face-Swapping through Implicit Deepfake Generation using NeRF and Gaussian Splatting. CoRR abs/2402.06390 (2024) - [i57]Joanna Waczynska, Piotr Borycki, Joanna Kaleta, Slawomir Konrad Tadeja, Przemyslaw Spurek:
D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup. CoRR abs/2405.14276 (2024) - [i56]Patryk Krukowski, Anna Bielawska, Kamil Ksiazek, Pawel Wawrzynski, Pawel Batorski, Przemyslaw Spurek:
HyperInterval: Hypernetwork approach to training weight interval regions in continual learning. CoRR abs/2405.15444 (2024) - [i55]Artur Kasymov, Bartosz Czekaj, Marcin Mazur, Jacek Tabor, Przemyslaw Spurek:
NegGS: Negative Gaussian Splatting. CoRR abs/2405.18163 (2024) - [i54]Mateusz Poleski, Jacek Tabor, Przemyslaw Spurek:
GeoGuide: Geometric guidance of diffusion models. CoRR abs/2407.12889 (2024) - [i53]Piotr Borycki, Weronika Smolak, Joanna Waczynska, Marcin Mazur, Slawomir Konrad Tadeja, Przemyslaw Spurek:
GASP: Gaussian Splatting for Physic-Based Simulations. CoRR abs/2409.05819 (2024) - [i52]Joanna Waczynska, Tomasz Szczepanik, Piotr Borycki, Slawomir Konrad Tadeja, Thomas Bohné, Przemyslaw Spurek:
MiraGe: Editable 2D Images using Gaussian Splatting. CoRR abs/2410.01521 (2024) - [i51]Patryk Krukowski, Daniel Wilczak, Jacek Tabor, Anna Bielawska, Przemyslaw Spurek:
Make Interval Bound Propagation great again. CoRR abs/2410.03373 (2024) - [i50]Artur Kasymov, Marcin Sendera, Michal Stypulkowski, Maciej Zieba, Przemyslaw Spurek:
AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models. CoRR abs/2410.03941 (2024) - [i49]Adam Kania, Marko Mihajlovic, Sergey Prokudin, Jacek Tabor, Przemyslaw Spurek:
FreSh: Frequency Shifting for Accelerated Neural Representation Learning. CoRR abs/2410.05050 (2024) - 2023
- [j20]Marcin Sendera
The general framework for few-shot learning by kernel HyperNetworks. Mach. Vis. Appl. 34(4): 53 (2023) - [j19]Ivan Kostiuk, Przemyslaw Stachura, Slawomir Konrad Tadeja
HyperColor: A HyperNetwork Approach for Synthesizing Autocolored 3-D Models for Game Scenes Population. IEEE Trans. Games 15(4): 613-622 (2023) - [c27]Lukasz Struski, Marcin Mazur, Pawel Batorski, Przemyslaw Spurek, Jacek Tabor:
Bounding Evidence and Estimating Log-Likelihood in VAE. AISTATS 2023: 5036-5051 - [c26]Filip Szatkowski
Hypernetworks Build Implicit Neural Representations of Sounds. ECML/PKDD (4) 2023: 661-676 - [c25]Marcin Sendera, Marcin Przewiezlikowski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek:
HyperShot: Few-Shot Learning by Kernel HyperNetworks. WACV 2023: 2468-2477 - [i48]Adam Kania, Artur Kasymov, Maciej Zieba, Przemyslaw Spurek:
HyperNeRFGAN: Hypernetwork approach to 3D NeRF GAN. CoRR abs/2301.11631 (2023) - [i47]Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski:
Hypernetworks build Implicit Neural Representations of Sounds. CoRR abs/2302.04959 (2023) - [i46]Wojciech Zajac, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek:
NeRFlame: FLAME-based conditioning of NeRF for 3D face rendering. CoRR abs/2303.06226 (2023) - [i45]Krzysztof Byrski, Przemyslaw Spurek, Jacek Tabor:
Gaussian model for closed curves. CoRR abs/2304.01367 (2023) - [i44]Dominik Zimny, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek:
MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation. CoRR abs/2305.10579 (2023) - [i43]Adrian Suwala, Bartosz Wójcik, Magdalena Proszewska, Jacek Tabor, Przemyslaw Spurek, Marek Smieja:
Face Identity-Aware Disentanglement in StyleGAN. CoRR abs/2309.12033 (2023) - [i42]Kamil Ksiazek, Przemyslaw Spurek:
HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning. CoRR abs/2310.00113 (2023) - [i41]Lukasz Struski, Tomasz Urbanczyk, Krzysztof Bucki, Bartlomiej Cupial, Aneta Kaczynska, Przemyslaw Spurek, Jacek Tabor:
MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopy. CoRR abs/2311.03884 (2023) - [i40]Dawid Malarz, Weronika Smolak, Jacek Tabor, Slawomir Konrad Tadeja, Przemyslaw Spurek:
Gaussian Splatting with NeRF-based Color and Opacity. CoRR abs/2312.13729 (2023) - 2022
- [j18]Lukasz Struski, Szymon Knop
LocoGAN - Locally convolutional GAN. Comput. Vis. Image Underst. 221: 103462 (2022) - [j17]Szymon Knop, Marcin Mazur, Przemyslaw Spurek, Jacek Tabor, Igor T. Podolak:
Generative models with kernel distance in data space. Neurocomputing 487: 119-129 (2022) - [j16]Marcin Mazur, Lukasz Pustelnik, Szymon Knop, Patryk Pagacz
Target layer regularization for continual learning using Cramer-Wold distance. Inf. Sci. 609: 1369-1380 (2022) - [j15]Lukasz Maziarka
OneFlow: One-Class Flow for Anomaly Detection Based on a Minimal Volume Region. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8508-8519 (2022) - [j14]Przemyslaw Spurek
General Hypernetwork Framework for Creating 3D Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9995-10008 (2022) - [c24]Szymon Knop, Przemyslaw Spurek, Marcin Mazur, Jacek Tabor, Igor T. Podolak:
Batch Size Reconstruction-Distribution Trade-Off In Kernel Based Generative Autoencoders. ICIP 2022: 3728-3732 - [c23]Piotr Tempczyk, Rafal Michaluk, Lukasz Garncarek, Przemyslaw Spurek, Jacek Tabor, Adam Golinski:
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood. ICML 2022: 21205-21231 - [c22]Maciej Wolczyk, Karol J. Piczak, Bartosz Wójcik, Lukasz Pustelnik, Pawel Morawiecki, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek:
Continual Learning with Guarantees via Weight Interval Constraints. ICML 2022: 23897-23911 - [c21]Andrzej Bedychaj, Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor:
Nonlinear Weighted Independent Component Analysis. IPMU (2) 2022: 3-16 - [c20]Przemyslaw Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Slawomir Konrad Tadeja
HyperPocket: Generative Point Cloud Completion. IROS 2022: 6848-6853 - [i39]Marcin Sendera, Marcin Przewiezlikowski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek:
HyperShot: Few-Shot Learning by Kernel HyperNetworks. CoRR abs/2203.11378 (2022) - [i38]Marcin Przewiezlikowski, P. Przybysz, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek:
HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks. CoRR abs/2205.15745 (2022) - [i37]Dominik Zimny, Tomasz Trzcinski, Przemyslaw Spurek:
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud. CoRR abs/2206.01290 (2022) - [i36]Maciej Wolczyk, Karol J. Piczak
Continual Learning with Guarantees via Weight Interval Constraints. CoRR abs/2206.07996 (2022) - [i35]Lukasz Struski, Marcin Mazur, Pawel Batorski, Przemyslaw Spurek, Jacek Tabor:
Bounding Evidence and Estimating Log-Likelihood in VAE. CoRR abs/2206.09453 (2022) - [i34]Piotr Tempczyk, Rafal Michaluk, Lukasz Garncarek, Przemyslaw Spurek, Jacek Tabor, Adam Golinski:
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood. CoRR abs/2206.14882 (2022) - [i33]Piotr Borycki, Piotr Kubacki, Marcin Przewiezlikowski, Tomasz Kusmierczyk, Jacek Tabor, Przemyslaw Spurek:
Hypernetwork approach to Bayesian MAML. CoRR abs/2210.02796 (2022) - [i32]Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski:
HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks. CoRR abs/2211.01839 (2022) - 2021
- [j13]Kamil Deja
End-to-End Sinkhorn Autoencoder With Noise Generator. IEEE Access 9: 7211-7219 (2021) - [c19]Marcin Sendera
Missing Glow Phenomenon: Learning Disentangled Representation of Missing Data. ICONIP (5) 2021: 196-204 - [c18]Michal Sadowski, Karol J. Piczak
Continual Learning of 3D Point Cloud Generators. ICONIP (1) 2021: 330-341 - [c17]Bartosz Wójcik
Adversarial Examples Detection and Analysis with Layer-wise Autoencoders. ICTAI 2021: 1322-1326 - [c16]Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba:
Non-Gaussian Gaussian Processes for Few-Shot Regression. NeurIPS 2021: 10285-10298 - [i31]Przemyslaw Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Slawomir Konrad Tadeja, Lukasz Struski, Jacek Tabor, Tomasz Trzcinski:
HyperPocket: Generative Point Cloud Completion. CoRR abs/2102.05973 (2021) - [i30]Przemyslaw Spurek, Sebastian Winczowski, Maciej Zieba, Tomasz Trzcinski, Kacper Kania:
Modeling 3D Surface Manifolds with a Locally Conditioned Atlas. CoRR abs/2102.05984 (2021) - [i29]Ivan Kostiuk, Przemyslaw Stachura, Slawomir Konrad Tadeja, Tomasz Trzcinski, Przemyslaw Spurek:
HyperColor: A HyperNetwork Approach for Synthesizing Auto-colored 3D Models for Game Scenes Population. CoRR abs/2108.01411 (2021) - [i28]Marcin Sendera, Marek Smieja, Lukasz Maziarka, Lukasz Struski, Przemyslaw Spurek, Jacek Tabor:
Flow-based SVDD for anomaly detection. CoRR abs/2108.04907 (2021) - [i27]Lukasz Struski, Pawel M. Morkisz, Przemyslaw Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzcinski:
Efficient GPU implementation of randomized SVD and its applications. CoRR abs/2110.03423 (2021) - [i26]Magdalena Proszewska, Marcin Mazur, Tomasz Trzcinski, Przemyslaw Spurek:
HyperCube: Implicit Field Representations of Voxelized 3D Models. CoRR abs/2110.05770 (2021) - [i25]Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba:
Non-Gaussian Gaussian Processes for Few-Shot Regression. CoRR abs/2110.13561 (2021) - [i24]Marcin Mazur, Lukasz Pustelnik, Szymon Knop, Patryk Pagacz, Przemyslaw Spurek:
Target Layer Regularization for Continual Learning Using Cramer-Wold Generator. CoRR abs/2111.07928 (2021) - 2020
- [j12]Szymon Knop, Przemyslaw Spurek, Jacek Tabor, Igor T. Podolak, Marcin Mazur, Stanislaw Jastrzebski:
Cramer-Wold Auto-Encoder. J. Mach. Learn. Res. 21: 164:1-164:28 (2020) - [c15]Pawel Morawiecki, Przemyslaw Spurek, Marek Smieja, Jacek Tabor:
Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models. ESANN 2020: 55-60 - [c14]Przemyslaw Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba
Hypernetwork approach to generating point clouds. ICML 2020: 9099-9108 - [c13]Przemyslaw Spurek
Non-linear ICA Based on Cramer-Wold Metric. ICONIP (3) 2020: 294-305 - [c12]Tomasz Danel
Processing of Incomplete Images by (Graph) Convolutional Neural Networks. ICONIP (2) 2020: 512-523 - [c11]Tomasz Danel
Spatial Graph Convolutional Networks. ICONIP (5) 2020: 668-675 - [i23]Andrzej Bedychaj, Przemyslaw Spurek, Aleksandra Nowak
WICA: nonlinear weighted ICA. CoRR abs/2001.04147 (2020) - [i22]Lukasz Struski, Szymon Knop, Jacek Tabor, Wiktor Daniec, Przemyslaw Spurek:
LocoGAN - Locally Convolutional GAN. CoRR abs/2002.07897 (2020) - [i21]Przemyslaw Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski:
Hypernetwork approach to generating point clouds. CoRR abs/2003.00802 (2020) - [i20]Przemyslaw Spurek, Maciej Zieba, Jacek Tabor, Tomasz Trzcinski:
HyperFlow: Representing 3D Objects as Surfaces. CoRR abs/2006.08710 (2020) - [i19]Bartosz Wójcik, Pawel Morawiecki, Marek Smieja, Tomasz Krzyzek, Przemyslaw Spurek, Jacek Tabor:
Adversarial Examples Detection and Analysis with Layer-wise Autoencoders. CoRR abs/2006.10013 (2020) - [i18]Szymon Knop, Marcin Mazur, Przemyslaw Spurek, Jacek Tabor, Igor T. Podolak:
Generative models with kernel distance in data space. CoRR abs/2009.07327 (2020) - [i17]Lukasz Maziarka, Marek Smieja, Marcin Sendera, Lukasz Struski, Jacek Tabor, Przemyslaw Spurek:
Flow-based anomaly detection. CoRR abs/2010.03002 (2020) - [i16]Tomasz Danel, Marek Smieja, Lukasz Struski, Przemyslaw Spurek, Lukasz Maziarka:
Processing of incomplete images by (graph) convolutional neural networks. CoRR abs/2010.13914 (2020) - [i15]Maciej Zieba, Marcin Przewiezlikowski, Marek Smieja, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek:
RegFlow: Probabilistic Flow-based Regression for Future Prediction. CoRR abs/2011.14620 (2020)
2010 – 2019
- 2019
- [j11]Marek Smieja, Jacek Tabor
SVM with a neutral class. Pattern Anal. Appl. 22(2): 573-582 (2019) - [j10]Przemyslaw Spurek
Online updating of active function cross-entropy clustering. Pattern Anal. Appl. 22(4): 1409-1425 (2019) - [j9]Lukasz Struski, Przemyslaw Spurek, Jacek Tabor, Marek Smieja:
Projected memory clustering. Pattern Recognit. Lett. 123: 9-15 (2019) - [c10]Lukasz Maziarka, Marek Smieja, Aleksandra Nowak
Set Aggregation Network as a Trainable Pooling Layer. ICONIP (2) 2019: 419-431 - [i14]Szymon Knop, Marcin Mazur, Jacek Tabor, Igor T. Podolak, Przemyslaw Spurek:
Sliced generative models. CoRR abs/1901.10417 (2019) - [i13]Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski:
Non-linear ICA based on Cramer-Wold metric. CoRR abs/1903.00201 (2019) - [i12]Przemyslaw Spurek, Szymon Knop, Jacek Tabor, Igor T. Podolak, Bartosz Wójcik:
One-element Batch Training by Moving Window. CoRR abs/1905.12947 (2019) - [i11]Andrzej Bedychaj, Przemyslaw Spurek, Lukasz Struski, Jacek Tabor:
Independent Component Analysis based on multiple data-weighting. CoRR abs/1906.00028 (2019) - [i10]Pawel Morawiecki, Przemyslaw Spurek, Marek Smieja, Jacek Tabor:
Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models. CoRR abs/1906.00628 (2019) - [i9]Przemyslaw Spurek, Tomasz Danel, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik
Geometric Graph Convolutional Neural Networks. CoRR abs/1909.05310 (2019) - 2018
- [j8]Lukasz Struski, Jacek Tabor
Lossy compression approach to subspace clustering. Inf. Sci. 435: 161-183 (2018) - [j7]Przemyslaw Spurek
Fast independent component analysis algorithm with a simple closed-form solution. Knowl. Based Syst. 161: 26-34 (2018) - [c9]Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek:
Processing of missing data by neural networks. NeurIPS 2018: 2724-2734 - [i8]Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek:
Processing of missing data by neural networks. CoRR abs/1805.07405 (2018) - [i7]Jacek Tabor, Szymon Knop, Przemyslaw Spurek, Igor T. Podolak, Marcin Mazur, Stanislaw Jastrzebski:
Cramer-Wold AutoEncoder. CoRR abs/1805.09235 (2018) - [i6]Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek:
Deep processing of structured data. CoRR abs/1810.01868 (2018) - 2017
- [j6]Przemyslaw Spurek:
General split gaussian Cross-Entropy clustering. Expert Syst. Appl. 68: 58-68 (2017) - [j5]Przemyslaw Spurek, Jacek Tabor
Active function Cross-Entropy Clustering. Expert Syst. Appl. 72: 49-66 (2017) - [j4]Przemyslaw Spurek, Konrad Kamieniecki, Jacek Tabor
R Package CEC. Neurocomputing 237: 410-413 (2017) - [j3]Przemyslaw Spurek, Jacek Tabor
ICA based on asymmetry. Pattern Recognit. 67: 230-244 (2017) - [c8]Krzysztof Hajto, Konrad Kamieniecki, Krzysztof Misztal
Split-and-merge Tweak in Cross Entropy Clustering. CISIM 2017: 193-204 - 2016
- [c7]Przemyslaw Spurek, Wieslaw Palka:
Clustering of Gaussian distributions. IJCNN 2016: 3346-3353 - 2015
- [c6]Arkadiusz Tomczyk
Detection of Elongated Structures with Hierarchical Active Partitions and CEC-Based Image Representation. CORES 2015: 159-168 - [c5]Przemyslaw Spurek, Mateusz Wójcik
Cross-Entropy Clustering Approach to One-Class Classification. ICAISC (1) 2015: 481-490 - [i5]Jacek Tabor, Przemyslaw Spurek, Konrad Kamieniecki, Marek Smieja, Krzysztof Misztal:
Introduction to Cross-Entropy Clustering The R Package CEC. CoRR abs/1508.04559 (2015) - 2014
- [j2]Jacek Tabor
Cross-entropy clustering. Pattern Recognit. 47(9): 3046-3059 (2014) - [c4]Przemyslaw Spurek, Alena Chaikouskaya, Jacek Tabor, Elzbieta Zajac:
A Local Gaussian Filter and Adaptive Morphology as Tools for Completing Partially Discontinuous Curves. CISIM 2014: 559-570 - [c3]Przemyslaw Spurek, Marek Smieja, Krzysztof Misztal
Subspaces Clustering Approach to Lossy Image Compression. CISIM 2014: 571-579 - 2013
- [j1]Przemyslaw Spurek, Jacek Tabor
The memory center. Inf. Sci. 252: 132-143 (2013) - [c2]Przemyslaw Spurek, Jacek Tabor
Weighted Approach to Projective Clustering. CISIM 2013: 367-378 - [c1]Przemyslaw Spurek, Jacek Tabor
Detection of Disk-Like Particles in Electron Microscopy Images. CORES 2013: 411-417 - [i4]Przemyslaw Spurek, Alena Chaikouskaya, Jacek Tabor, Elzbieta Zajac:
A local Gaussian filter and adaptive morphology as tools for completing partially discontinuous curves. CoRR abs/1311.7430 (2013) - 2012
- [i3]Przemyslaw Spurek, Jacek Tabor:
The memory centre. CoRR abs/1204.0281 (2012) - [i2]Przemyslaw Spurek, Jacek Tabor:
Cross-Entropy Clustering. CoRR abs/1210.5594 (2012) - 2011
- [i1]Krzysztof Misztal, Przemyslaw Spurek, Jacek Tabor:
k-means Approach to the Karhunen-Loeve Transform. CoRR abs/1109.3994 (2011)
Coauthor Index
[j22] [c31] [c29] [c28] [i60] [i58] [i55] [i54] [i51] [i49] [j20] [c27] [c26] [c25] [i47] [i46] [i45] [i44] [i43] [i41] [i40] [j18] [j17] [j15] [j14] [c24] [c23] [c22] [c21] [c20] [i39] [i38] [i36] [i35] [i34] [i33] [i32] [c17] [c16] [i31] [i28] [i25] [j12] [c15] [c14] [c13] [c11] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i15] [j11] [j10] [j9] [c10] [i14] [i13] [i12] [i11] [i10] [i9] [j8] [j7] [c9] [i8] [i7] [i6] [j5] [j4] [j3] [c6] [c5] [i5] [j2] [c4] [j1] [c2] [c1] [i4] [i3] [i2] [i1]
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last updated on 2024-12-08 01:32 CET by the dblp team
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