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Marek Smieja

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2018
[j8]
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Marek Smieja, Oleksandr Myronov, Jacek Tabor:
Semi-supervised discriminative clustering with graph regularization. Knowl.-Based Syst. 151: 24-36 (2018)
[i13]
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  - journals/corr/abs-1803-04033
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Bartosz Zielinski, Lukasz Struski, Marek Smieja, Jacek Tabor:
Cascade context encoder for improved inpainting. CoRR abs/1803.04033 (2018)
[i12]
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  - journals/corr/abs-1805-07405
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Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek:
Processing of missing data by neural networks. CoRR abs/1805.07405 (2018)
2017
[j7]
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Marek Smieja, Magdalena Wiercioch:
Constrained clustering with a complex cluster structure. Adv. Data Analysis and Classification 11(3): 493-518 (2017)
[j6]
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Marek Smieja, Lukasz Struski, Jacek Tabor:
Semi-supervised model-based clustering with controlled clusters leakage. Expert Syst. Appl. 85: 146-157 (2017)
[j5]
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Przemyslaw Spurek, Konrad Kamieniecki, Jacek Tabor, Krzysztof Misztal, Marek Smieja:
R Package CEC. Neurocomputing 237: 410-413 (2017)
[j4]
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Marek Smieja, Bernhard C. Geiger:
Semi-supervised cross-entropy clustering with information bottleneck constraint. Inf. Sci. 421: 254-271 (2017)
[i11]
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  - journals/corr/StruskiST17
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Lukasz Struski, Marek Smieja, Jacek Tabor:
Pointed subspace approach to incomplete data. CoRR abs/1705.00840 (2017)
[i10]
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Marek Smieja, Bernhard C. Geiger:
Semi-supervised cross-entropy clustering with information bottleneck constraint. CoRR abs/1705.01601 (2017)
[i9]
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Marek Smieja, Lukasz Struski, Jacek Tabor:
Semi-supervised model-based clustering with controlled clusters leakage. CoRR abs/1705.01877 (2017)
[i8]
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Marek Smieja, Jacek Tabor:
Spherical Wards clustering and generalized Voronoi diagrams. CoRR abs/1705.02232 (2017)
[i7]
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  - journals/corr/SmiejaHT17
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Marek Smieja, Krzysztof Hajto, Jacek Tabor:
Efficient mixture model for clustering of sparse high dimensional binary data. CoRR abs/1707.03157 (2017)
2016
[c4]
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  - conf/ijcnn/SmiejaNT16
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Marek Smieja, Szymon Nakoneczny, Jacek Tabor:
Fast Entropy Clustering of sparse high dimensional binary data. IJCNN 2016: 2397-2404
[i6]
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Lukasz Struski, Marek Smieja, Jacek Tabor:
Incomplete data representation for SVM classification. CoRR abs/1612.01480 (2016)
2015
[j3]
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  - journals/entropy/SmiejaT15
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Marek Smieja, Jacek Tabor:
Entropy Approximation in Lossy Source Coding Problem. Entropy 17(5): 3400-3418 (2015)
[j2]
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Marek Smieja:
Weighted approach to general entropy function. IMA J. Math. Control & Information 32(2): 329-341 (2015)
[c3]
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Marek Smieja, Jacek Tabor:
Spherical wards clustering and generalized Voronoi diagrams. DSAA 2015: 1-10
[i5]
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  - journals/corr/TaborSKSM15
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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
[c2]
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  - conf/cisim/SpurekSM14
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Przemyslaw Spurek, Marek Smieja, Krzysztof Misztal:
Subspaces Clustering Approach to Lossy Image Compression. CISIM 2014: 571-579
2013
[c1]
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  - conf/cores/SmiejaT13
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Marek Smieja, Jacek Tabor:
Image Segmentation with Use of Cross-Entropy Clustering. CORES 2013: 403-409
[i4]
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  - journals/corr/abs-1305-3040
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Marek Smieja:
Weighted Approach to General Entropy Function. CoRR abs/1305.3040 (2013)
2012
[j1]
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  - journals/tit/SmiejaT12
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Marek Smieja, Jacek Tabor:
Entropy of the Mixture of Sources and Entropy Dimension. IEEE Trans. Information Theory 58(5): 2719-2728 (2012)
[i3]
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  - journals/corr/abs-1204-0075
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Marek Smieja, Jacek Tabor:
Weighted Approach to Rényi Entropy. CoRR abs/1204.0075 (2012)
[i2]
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  - journals/corr/abs-1204-0078
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Marek Smieja, Jacek Tabor:
Partition Reduction for Lossy Data Compression Problem. CoRR abs/1204.0078 (2012)
2011
[i1]
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  - journals/corr/abs-1110-6027
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Marek Smieja, Jacek Tabor:
Entropy of the Mixture of Sources and Entropy Dimension. CoRR abs/1110.6027 (2011)

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