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Travelled to:
1 × Austria
1 × Finland
1 × Spain
1 × Turkey
1 × United Kingdom
2 × Canada
5 × USA
Collaborated with:
C.S.Ong T.Zöller L.Hermes K.H.Brodersen K.E.Stephan C.D.Sigg T.Lange T.Fröhlinghaus T.Hofmann G.Krummenacher A.G.Busetto L.M.Busse P.Orbanz Z.Marx I.Dagan A.P.Streich M.Frank D.A.Basin A.K.Jain A.P.Topchy M.H.C.Law
Talks about:
cluster (7) data (3) distribut (2) structur (2) hierarch (2) expect (2) combin (2) learn (2) probabilist (1) determinist (1)

Person: Joachim M. Buhmann

DBLP DBLP: Buhmann:Joachim_M=

Contributed to:

ICML c2 20132013
ICPR 20102010
ICML 20092009
ICML 20082008
ICML 20072007
KDD 20052005
ICPR v1 20042004
ICPR v2 20022002
ICML 20012001
ICPR v2 20002000
ICPR 19961996
KDD 19961996

Wrote 15 papers:

ICML-c2-2013-KrummenacherOB #learning #multi
Ellipsoidal Multiple Instance Learning (GK, CSO, JMB), pp. 73–81.
ICPR-2010-BrodersenOSB
The Balanced Accuracy and Its Posterior Distribution (KHB, CSO, KES, JMB), pp. 3121–3124.
ICPR-2010-BrodersenOSB10a
The Binormal Assumption on Precision-Recall Curves (KHB, CSO, KES, JMB), pp. 4263–4266.
ICML-2009-BusettoOB
Optimized expected information gain for nonlinear dynamical systems (AGB, CSO, JMB), pp. 97–104.
ICML-2009-StreichFBB #clustering #multi
Multi-assignment clustering for Boolean data (APS, MF, DAB, JMB), pp. 969–976.
ICML-2008-SiggB
Expectation-maximization for sparse and non-negative PCA (CDS, JMB), pp. 960–967.
ICML-2007-BusseOB #analysis #clustering #rank
Cluster analysis of heterogeneous rank data (LMB, PO, JMB), pp. 113–120.
KDD-2005-LangeB #probability
Combining partitions by probabilistic label aggregation (TL, JMB), pp. 147–156.
ICPR-v1-2004-JainTLB #algorithm #clustering
Landscape of Clustering Algorithms (AKJ, APT, MHCL, JMB), pp. 260–263.
ICPR-v2-2002-ZollerHB #clustering #parametricity #segmentation
Combined Color And Texture Segmentation by Parametric Distributional Clustering (TZ, LH, JMB), pp. 627–630.
ICML-2001-MarxDB #clustering #detection
Coupled Clustering: a Method for Detecting Structural Correspondence (ZM, ID, JMB), pp. 353–360.
ICPR-v2-2000-BuhmannZ #clustering #learning
Active Learning for Hierarchical Pairwise Data Clustering (JMB, TZ), pp. 2186–2189.
ICPR-v2-2000-HermesB #feature model
Feature Selection for Support Vector Machines (LH, JMB), pp. 2712–2715.
ICPR-1996-FrohlinghausB
Regularizing phase-based stereo (TF, JMB), pp. 451–455.
KDD-1996-HofmannB #clustering
Inferring Hierarchical Clustering Structures by Deterministic Annealing (TH, JMB), pp. 363–366.

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