Thomas Hofmann

2008
65	EE	Christoph H. Lampert, Matthew B. Blaschko, Thomas Hofmann: Beyond sliding windows: Object localization by efficient subwindow search. CVPR 2008
64	EE	Bhaskar Mehta, Thomas Hofmann: A Survey of Attack-Resistant Collaborative Filtering Algorithms. IEEE Data Eng. Bull. 31(2): 14-22 (2008)
2007
63	EE	Lijuan Cai, Thomas Hofmann: Exploiting Known Taxonomies in Learning Overlapping Concepts. IJCAI 2007: 714-719
62	EE	Bhaskar Mehta, Thomas Hofmann, Peter Fankhauser: Lies and propaganda: detecting spam users in collaborative filtering. IUI 2007: 14-21
61	EE	Bhaskar Mehta, Thomas Hofmann, Wolfgang Nejdl: Robust collaborative filtering. RecSys 2007: 49-56
60	EE	David Gondek, Thomas Hofmann: Non-redundant data clustering. Knowl. Inf. Syst. 12(1): 1-24 (2007)
2006
59	EE	Thomas Wolf, Benedikt Brors, Thomas Hofmann, Elisabeth Georgii: Global Biclustering of Microarray Data. ICDM Workshops 2006: 125-129
58	EE	Bhaskar Mehta, Thomas Hofmann: Cross System Personalization and Collaborative Filtering by Learning Manifold Alignments. KI 2006: 244-259
2005
57	EE	Thomas Hofmann: From bits and bytes to information and knowledge. CIKM 2005: 3
56	EE	Thomas Hofmann, Justin Basilico: Collaborative Machine Learning. From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments 2005: 173-182
55	EE	Thomas 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
54	EE	David Gondek, Thomas Hofmann: Non-redundant clustering with conditional ensembles. KDD 2005: 70-77
53	EE	Ioannis 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
52	EE	Lijuan Cai, Thomas Hofmann: Hierarchical document categorization with support vector machines. CIKM 2004: 78-87
51	EE	Ha Quang Minh, Thomas Hofmann: Learning Over Compact Metric Spaces. COLT 2004: 239-254
50	EE	David Gondek, Thomas Hofmann: Non-Redundant Data Clustering. ICDM 2004: 75-82
49	EE	Yasemin Altun, Thomas Hofmann, Alex J. Smola: Gaussian process classification for segmenting and annotating sequences. ICML 2004
48	EE	Ioannis Tsochantaridis, Thomas Hofmann, Thorsten Joachims, Yasemin Altun: Support vector machine learning for interdependent and structured output spaces. ICML 2004
47	EE	Justin Basilico, Thomas Hofmann: Unifying collaborative and content-based filtering. ICML 2004
46	EE	Dengyong Zhou, Bernhard Schölkopf, Thomas Hofmann: Semi-supervised Learning on Directed Graphs. NIPS 2004
45	EE	Justin Basilico, Thomas Hofmann: A joint framework for collaborative and content filtering. SIGIR 2004: 550-551
44	EE	Yasemin Altun, Alexander J. Smola, Thomas Hofmann: Exponential Families for Conditional Random Fields. UAI 2004: 2-9
43	EE	Thomas 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
40	EE	Stuart Andrews, Thomas Hofmann: Multiple-Instance Learning via Disjunctive Programming Boosting. NIPS 2003
39	EE	Lijuan Cai, Thomas Hofmann: Text categorization by boosting automatically extracted concepts. SIGIR 2003: 182-189
38	EE	Thomas Hofmann: Collaborative filtering via gaussian probabilistic latent semantic analysis. SIGIR 2003: 259-266
37	EE	James 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
35	EE	Ioannis Tsochantaridis, Thomas Hofmann: Support Vector Machines for Polycategorical Classification. ECML 2002: 456-467
34	EE	Stuart Andrews, Ioannis Tsochantaridis, Thomas Hofmann: Support Vector Machines for Multiple-Instance Learning. NIPS 2002: 561-568
33	EE	Yasemin 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
30	EE	Thomas 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
28	EE	Stéphane 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
25	EE	Thomas Hofmann: Learning probabilistic models of the Web. SIGIR 2000: 369-371
24	EE	Thomas Hofmann: ProbMap - A probabilistic approach for mapping large document collections. Intell. Data Anal. 4(2): 149-164 (2000)
23	EE	Jan Puzicha, Thomas Hofmann, Joachim M. Buhmann: A theory of proximity based clustering: structure detection by optimization. Pattern Recognition 33(4): 617-634 (2000)
1999
22	EE	Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann: Histogram Clustering for Unsupervised Image Segmentation. CVPR 1999: 2602-2608
21	EE	Thomas 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
18	EE	Thomas Hofmann: Learning the Similarity of Documents: An Information-Geometric Approach to Document Retrieval and Categorization. NIPS 1999: 914-920
17	EE	Thomas Hofmann: Probabilistic Latent Semantic Indexing. SIGIR 1999: 50-57
16	EE	Thomas Hofmann: Probabilistic Latent Semantic Analysis. UAI 1999: 289-296
15	EE	Jan 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
13	EE	Thomas Hofmann, Jan Puzicha, Michael I. Jordan: Learning from Dyadic Data. NIPS 1998: 466-472
12	EE	Thomas 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
11	EE	Jan 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
9	EE	Thomas 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
7	EE	Thomas Hofmann, Joachim M. Buhmann: Pairwise Data Clustering by Deterministic Annealing. IEEE Trans. Pattern Anal. Mach. Intell. 19(1): 1-14 (1997)
6	EE	Thomas 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
2	EE	Thomas Hofmann, Joachim M. Buhmann: Multidimensional Scaling and Data Clustering. NIPS 1994: 459-466
1993
1	EE	Joachim M. Buhmann, Thomas Hofmann: Central and Pairwise Data Clustering by Competitive Neural Networks. NIPS 1993: 104-111

Coauthor Index

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

Colors in the list of coauthors