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Joachim M. Buhmann
Joachim M. Buhmann
ETH Zurich
Zweryfikowany adres z inf.ethz.ch - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Distortion invariant object recognition in the dynamic link architecture
M Lades, JC Vorbruggen, J Buhmann, J Lange, C Von Der Malsburg, ...
IEEE Transactions on computers 42 (3), 300-311, 1993
28221993
The balanced accuracy and its posterior distribution
KH Brodersen, CS Ong, KE Stephan, JM Buhmann
2010 20th international conference on pattern recognition, 3121-3124, 2010
18572010
Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry
C Giesen, HAO Wang, D Schapiro, N Zivanovic, A Jacobs, B Hattendorf, ...
Nature methods 11 (4), 417-422, 2014
17112014
Stability-based validation of clustering solutions
T Lange, V Roth, ML Braun, JM Buhmann
Neural computation 16 (6), 1299-1323, 2004
6622004
Pairwise data clustering by deterministic annealing
T Hofmann, JM Buhmann
Pattern Analysis and Machine Intelligence, IEEE Transactions on 19 (1), 1-14, 1997
6161997
Empirical evaluation of dissimilarity measures for color and texture
J Puzicha, JM Buhmann, Y Rubner, C Tomasi
Computer Vision, 1999. The Proceedings of the Seventh IEEE International …, 1999
5111999
Empirical evaluation of dissimilarity measures for color and texture
Y Rubner, J Puzicha, C Tomasi, JM Buhmann
Computer vision and image understanding 84 (1), 25-43, 2001
4692001
Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation
J Zilly, JM Buhmann, D Mahapatra
Computerized Medical Imaging and Graphics 55, 28-41, 2017
4162017
Crowdsourcing the creation of image segmentation algorithms for connectomics
I Arganda-Carreras, SC Turaga, DR Berger, D Cireşan, A Giusti, ...
Frontiers in neuroanatomy 9, 152591, 2015
3782015
Non-parametric similarity measures for unsupervised texture segmentation and image retrieval
J Puzicha, T Hofmann, JM Buhmann
Proceedings of IEEE Computer Society Conference on Computer Vision and …, 1997
3671997
Protein identification false discovery rates for very large proteomics data sets generated by tandem mass spectrometry
L Reiter, M Claassen, SP Schrimpf, M Jovanovic, A Schmidt, JM Buhmann, ...
Molecular & Cellular Proteomics 8 (11), 2405-2417, 2009
3622009
Topology free hidden markov models: Application to background modeling
B Stenger, V Ramesh, N Paragios, F Coetzee, JM Buhmann
Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International …, 2001
3352001
Sensory segmentation with coupled neural oscillators
C von der Malsburg, J Buhmann
Biological Cybernetics 67 (3), 233-242, 1992
3151992
Unsupervised texture segmentation in a deterministic annealing framework
T Hofmann, J Puzicha, JM Buhmann
Pattern Analysis and Machine Intelligence, IEEE Transactions on 20 (8), 803-818, 1998
3131998
Ti-pooling: transformation-invariant pooling for feature learning in convolutional neural networks
D Laptev, N Savinov, JM Buhmann, M Pollefeys
Proceedings of the IEEE conference on computer vision and pattern …, 2016
3092016
The mobile robot Rhino
J Buhmann, W Burgard, AB Cremers, D Fox, T Hofmann, FE Schneider, ...
Ai Magazine 16 (2), 31-31, 1995
3071995
Computational pathology: challenges and promises for tissue analysis
TJ Fuchs, JM Buhmann
Computerized Medical Imaging and Graphics 35 (7-8), 515-530, 2011
3042011
Path-based clustering for grouping of smooth curves and texture segmentation
B Fischer, JM Buhmann
IEEE Transactions on Pattern Analysis and Machine Intelligence 25 (4), 513-518, 2003
3002003
Bagging for path-based clustering
B Fischer, JM Buhmann
IEEE Transactions on Pattern Analysis and Machine Intelligence 25 (11), 1411 …, 2003
2862003
Guarantees for greedy maximization of non-submodular functions with applications
AA Bian, JM Buhmann, A Krause, S Tschiatschek
International conference on machine learning, 498-507, 2017
2832017
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