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Thomas Hofmann Vis

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*2008
65EEChristoph H. Lampert, Matthew B. Blaschko, Thomas Hofmann: Beyond sliding windows: Object localization by efficient subwindow search. CVPR 2008
64EEBhaskar Mehta, Thomas Hofmann: A Survey of Attack-Resistant Collaborative Filtering Algorithms. IEEE Data Eng. Bull. 31(2): 14-22 (2008)
2007
63EELijuan Cai, Thomas Hofmann: Exploiting Known Taxonomies in Learning Overlapping Concepts. IJCAI 2007: 714-719
62EEBhaskar Mehta, Thomas Hofmann, Peter Fankhauser: Lies and propaganda: detecting spam users in collaborative filtering. IUI 2007: 14-21
61EEBhaskar Mehta, Thomas Hofmann, Wolfgang Nejdl: Robust collaborative filtering. RecSys 2007: 49-56
60EEDavid Gondek, Thomas Hofmann: Non-redundant data clustering. Knowl. Inf. Syst. 12(1): 1-24 (2007)
2006
59EEThomas Wolf, Benedikt Brors, Thomas Hofmann, Elisabeth Georgii: Global Biclustering of Microarray Data. ICDM Workshops 2006: 125-129
58EEBhaskar Mehta, Thomas Hofmann: Cross System Personalization and Collaborative Filtering by Learning Manifold Alignments. KI 2006: 244-259
2005
57EEThomas Hofmann: From bits and bytes to information and knowledge. CIKM 2005: 3
56EEThomas Hofmann, Justin Basilico: Collaborative Machine Learning. From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments 2005: 173-182
55EEThomas Navin Lal, Michael Schröder, N. Jeremy Hill, Hubert Preißl, Thilo Hinterberger, Jürgen Mellinger, Martin Bogdan, Wolfgang Rosenstiel, Thomas Hofmann, Niels Birbaumer, Bernhard Schölkopf: A brain computer interface with online feedback based on magnetoencephalography. ICML 2005: 465-472
54EEDavid Gondek, Thomas Hofmann: Non-redundant clustering with conditional ensembles. KDD 2005: 70-77
53EEIoannis Tsochantaridis, Thorsten Joachims, Thomas Hofmann, Yasemin Altun: Large Margin Methods for Structured and Interdependent Output Variables. Journal of Machine Learning Research 6: 1453-1484 (2005)
2004
52EELijuan Cai, Thomas Hofmann: Hierarchical document categorization with support vector machines. CIKM 2004: 78-87
51EEHa Quang Minh, Thomas Hofmann: Learning Over Compact Metric Spaces. COLT 2004: 239-254
50EEDavid Gondek, Thomas Hofmann: Non-Redundant Data Clustering. ICDM 2004: 75-82
49EEYasemin Altun, Thomas Hofmann, Alex J. Smola: Gaussian process classification for segmenting and annotating sequences. ICML 2004
48EEIoannis Tsochantaridis, Thomas Hofmann, Thorsten Joachims, Yasemin Altun: Support vector machine learning for interdependent and structured output spaces. ICML 2004
47EEJustin Basilico, Thomas Hofmann: Unifying collaborative and content-based filtering. ICML 2004
46EEDengyong Zhou, Bernhard Schölkopf, Thomas Hofmann: Semi-supervised Learning on Directed Graphs. NIPS 2004
45EEJustin Basilico, Thomas Hofmann: A joint framework for collaborative and content filtering. SIGIR 2004: 550-551
44EEYasemin Altun, Alexander J. Smola, Thomas Hofmann: Exponential Families for Conditional Random Fields. UAI 2004: 2-9
43EEThomas Hofmann: Latent semantic models for collaborative filtering. ACM Trans. Inf. Syst. 22(1): 89-115 (2004)
2003
42 Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofmann: Hidden Markov Support Vector Machines. ICML 2003: 3-10
41 Massimiliano Ciaramita, Thomas Hofmann, Mark Johnson: Hierarchical Semantic Classification: Word Sense Disambiguation with World Knowledge. IJCAI 2003: 817-822
40EEStuart Andrews, Thomas Hofmann: Multiple-Instance Learning via Disjunctive Programming Boosting. NIPS 2003
39EELijuan Cai, Thomas Hofmann: Text categorization by boosting automatically extracted concepts. SIGIR 2003: 182-189
38EEThomas Hofmann: Collaborative filtering via gaussian probabilistic latent semantic analysis. SIGIR 2003: 259-266
37EEJames Allan, Jay Aslam, Nicholas J. Belkin, Chris Buckley, James P. Callan, W. Bruce Croft, Susan T. Dumais, Norbert Fuhr, Donna Harman, David J. Harper, Djoerd Hiemstra, Thomas Hofmann, Eduard H. Hovy, Wessel Kraaij, John D. Lafferty, Victor Lavrenko, David D. Lewis, Liz Liddy, R. Manmatha, Andrew McCallum, Jay M. Ponte, John M. Prager, Dragomir R. Radev, Philip Resnik, Stephen E. Robertson, Ronald Rosenfeld, Salim Roukos, Mark Sanderson, Richard M. Schwartz, Amit Singhal, Alan F. Smeaton, Howard R. Turtle, Ellen M. Voorhees, Ralph M. Weischedel, Jinxi Xu, ChengXiang Zhai: Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002. SIGIR Forum 37(1): 31-47 (2003)
2002
36 Stuart Andrews, Thomas Hofmann, Ioannis Tsochantaridis: Multiple Instance Learning with Generalized Support Vector Machines. AAAI/IAAI 2002: 943-944
35EEIoannis Tsochantaridis, Thomas Hofmann: Support Vector Machines for Polycategorical Classification. ECML 2002: 456-467
34EEStuart Andrews, Ioannis Tsochantaridis, Thomas Hofmann: Support Vector Machines for Multiple-Instance Learning. NIPS 2002: 561-568
33EEYasemin Altun, Thomas Hofmann, Mark Johnson: Discriminative Learning for Label Sequences via Boosting. NIPS 2002: 977-984
32 Scott Doniger, Thomas Hofmann, Miao-Hui Joanne Yeh: Predicting CNS Permeability of Drug Molecules: Comparison of Neural Network and Support Vector Machine Algorithms. Journal of Computational Biology 9(6): 849 (2002)
2001
31 Kristina Toutanova, Francine Chen, Kris Popat, Thomas Hofmann: Text Classification in a Hierarchical Mixture Model for Small Training Sets. CIKM 2001: 105-112
30EEThomas Hofmann: Learning What People (Don't) Want. ECML 2001: 214-225
29 Thomas Hofmann: Unsupervised Learning by Probabilistic Latent Semantic Analysis. Machine Learning 42(1/2): 177-196 (2001)
2000
28EEStéphane Ducasse, Thomas Hofmann, Oscar Nierstrasz: OpenSpaces: An Object-Oriented Framework for Reconfigurable Coordination Spaces. COORDINATION 2000: 1-18
27 Keith Hall, Thomas Hofmann: Learning Curved Multinomial Subfamilies for Natural Language Processing and Information Retrieval. ICML 2000: 351-358
26 David A. Cohn, Thomas Hofmann: The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity. NIPS 2000: 430-436
25EEThomas Hofmann: Learning probabilistic models of the Web. SIGIR 2000: 369-371
24EEThomas Hofmann: ProbMap - A probabilistic approach for mapping large document collections. Intell. Data Anal. 4(2): 149-164 (2000)
23EEJan Puzicha, Thomas Hofmann, Joachim M. Buhmann: A theory of proximity based clustering: structure detection by optimization. Pattern Recognition 33(4): 617-634 (2000)
1999
22EEJan Puzicha, Joachim M. Buhmann, Thomas Hofmann: Histogram Clustering for Unsupervised Image Segmentation. CVPR 1999: 2602-2608
21EEThomas Hofmann: Probabilistic Topic Maps: Navigating through Large Text Collections. IDA 1999: 161-172
20 Thomas Hofmann: The Cluster-Abstraction Model: Unsupervised Learning of Topic Hierarchies from Text Data. IJCAI 1999: 682-687
19 Thomas Hofmann, Jan Puzicha: Latent Class Models for Collaborative Filtering. IJCAI 1999: 688-693
18EEThomas Hofmann: Learning the Similarity of Documents: An Information-Geometric Approach to Document Retrieval and Categorization. NIPS 1999: 914-920
17EEThomas Hofmann: Probabilistic Latent Semantic Indexing. SIGIR 1999: 50-57
16EEThomas Hofmann: Probabilistic Latent Semantic Analysis. UAI 1999: 289-296
15EEJan Puzicha, Thomas Hofmann, Joachim M. Buhmann: Histogram clustering for unsupervised segmentation and image retrieval. Pattern Recognition Letters 20(9): 899-909 (1999)
1998
14 Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann: Discrete Mixture Models for Unsupervised Image Segmentation. DAGM-Symposium 1998: 135-142
13EEThomas Hofmann, Jan Puzicha, Michael I. Jordan: Learning from Dyadic Data. NIPS 1998: 466-472
12EEThomas Hofmann, Jan Puzicha, Joachim M. Buhmann: Unsupervised Texture Segmentation in a Deterministic Annealing Framework. IEEE Trans. Pattern Anal. Mach. Intell. 20(8): 803-818 (1998)
1997
11EEJan Puzicha, Thomas Hofmann, Joachim M. Buhmann: Non-parametric Similarity Measures for Unsupervised Texture Segmentation and Image Retrieval. CVPR 1997: 267-272
10 Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann: Deterministic Annealing for Unsupervised Texture Segmentation. EMMCVPR 1997: 213-228
9EEThomas Hofmann, Jan Puzicha, Joachim M. Buhmann: An Optimization Approach to Unsupervised Hierarchical Texture Segmentation. ICIP (3) 1997: 213-216
8 Thomas Hofmann, Joachim M. Buhmann: Active Data Clustering. NIPS 1997
7EEThomas Hofmann, Joachim M. Buhmann: Pairwise Data Clustering by Deterministic Annealing. IEEE Trans. Pattern Anal. Mach. Intell. 19(1): 1-14 (1997)
6EEThomas Hofmann, Joachim M. Buhmann: Correction to "Pairwise Data Clustering by Deterministic Annealing". IEEE Trans. Pattern Anal. Mach. Intell. 19(2): 192 (1997)
1996
5 Thomas Hofmann, Joachim M. Buhmann: An Annealed ``Neural Gas'' Network for Robust Vector Quantization. ICANN 1996: 151-156
4 Thomas Hofmann, Joachim M. Buhmann: Inferring Hierarchical Clustering Structures by Deterministic Annealing. KDD 1996: 363-366
1995
3 Joachim M. Buhmann, Wolfram Burgard, Armin B. Cremers, Dieter Fox, Thomas Hofmann, Frank E. Schneider, Jiannis Strikos, Sebastian Thrun: The Mobile Robot RHINO. AI Magazine 16(2): 31-38 (1995)
1994
2EEThomas Hofmann, Joachim M. Buhmann: Multidimensional Scaling and Data Clustering. NIPS 1994: 459-466
1993
1EEJoachim M. Buhmann, Thomas Hofmann: Central and Pairwise Data Clustering by Competitive Neural Networks. NIPS 1993: 104-111

Coauthor Index

1James Allan [37]
2Yasemin Altun [33] [42] [44] [48] [49] [53]
3Stuart Andrews [34] [36] [40]
4Jay Aslam [37]
5Justin Basilico [45] [47] [56]
6Nicholas J. Belkin [37]
7Niels Birbaumer [55]
8Matthew B. Blaschko [65]
9Martin Bogdan [55]
10Benedikt Brors [59]
11Chris Buckley [37]
12Joachim M. Buhmann [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [14] [15] [22] [23]
13Wolfram Burgard [3]
14Lijuan Cai [39] [52] [63]
15James P. Callan (Jamie Callan) [37]
16Francine Chen [31]
17Massimiliano Ciaramita [41]
18David A. Cohn [26]
19Armin B. Cremers [3]
20W. Bruce Croft [37]
21Scott Doniger [32]
22Stéphane Ducasse [28]
23Susan T. Dumais [37]
24Peter Fankhauser [62]
25Dieter Fox [3]
26Norbert Fuhr [37]
27Elisabeth Georgii [59]
28David Gondek [50] [54] [60]
29Keith Hall [27]
30Donna Harman [37]
31David J. Harper [37]
32Djoerd Hiemstra [37]
33N. Jeremy Hill [55]
34Thilo Hinterberger [55]
35Eduard H. Hovy [37]
36Thorsten Joachims [48] [53]
37Mark Johnson [33] [41]
38Michael I. Jordan [13]
39Wessel Kraaij [37]
40John D. Lafferty [37]
41Thomas Navin Lal [55]
42Christoph H. Lampert [65]
43Victor Lavrenko [37]
44David D. Lewis [37]
45Elizabeth D. Liddy (Liz Liddy) [37]
46Raghavan Manmatha (R. Manmatha) [37]
47Andrew McCallum [37]
48Bhaskar Mehta [58] [61] [62] [64]
49Jürgen Mellinger [55]
50Ha Quang Minh [51]
51Wolfgang Nejdl [61]
52Oscar Nierstrasz [28]
53Jay M. Ponte [37]
54Kris Popat [31]
55John M. Prager [37]
56Hubert Preißl [55]
57Jan Puzicha [9] [10] [11] [12] [13] [14] [15] [19] [22] [23]
58Dragomir R. Radev [37]
59Philip Resnik [37]
60Stephen E. Robertson (Stephen Robertson) [37]
61Ronald Rosenfeld (Roni Rosenfeld) [37]
62Wolfgang Rosenstiel [55]
63Salim Roukos [37]
64Mark Sanderson [37]
65Frank E. Schneider [3]
66Bernhard Schölkopf [46] [55]
67Richard M. Schwartz [37]
68Amit Singhal [37]
69Alan F. Smeaton [37]
70Alexander J. Smola (Alex J. Smola) [44] [49]
71Jiannis Strikos [3]
72Michael Tangermann (Michael Schröder) [55]
73Sebastian Thrun [3]
74Kristina Toutanova [31]
75Ioannis Tsochantaridis [34] [35] [36] [42] [48] [53]
76Howard R. Turtle [37]
77Ellen M. Voorhees [37]
78Ralph M. Weischedel [37]
79Thomas Wolf [59]
80Jinxi Xu [37]
81Miao-Hui Joanne Yeh [32]
82ChengXiang Zhai (Chengxiang Zhai) [37]
83Dengyong Zhou [46]

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Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)