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Gert R. G. Lanckriet
2010 – today
- 2013
[j20]Adeel Mumtaz, Emanuele Coviello, Gert R. G. Lanckriet, Antoni B. Chan: Clustering Dynamic Textures with the Hierarchical EM Algorithm for Modeling Video. IEEE Trans. Pattern Anal. Mach. Intell. 35(7): 1606-1621 (2013)- 2012
- [j19]Bharath K. Sriperumbudur, Gert R. G. Lanckriet: A Proof of Convergence of the Concave-Convex Procedure Using Zangwill's Theory. Neural Computation 24(6): 1391-1407 (2012)
- [j18]Riccardo Miotto, Gert R. G. Lanckriet: A Generative Context Model for Semantic Music Annotation and Retrieval. IEEE Transactions on Audio, Speech & Language Processing 20(4): 1096-1108 (2012)
- [j17]Brian McFee, Luke Barrington, Gert R. G. Lanckriet: Learning Content Similarity for Music Recommendation. IEEE Transactions on Audio, Speech & Language Processing 20(8): 2207-2218 (2012)
- [c48]Emanuele Coviello, Adeel Mumtaz, Antoni B. Chan, Gert R. G. Lanckriet: Growing a bag of systems tree for fast and accurate classification. CVPR 2012: 1979-1986
- [c47]
- [c46]Emanuele Coviello, Yonatan Vaizman, Antoni B. Chan, Gert R. G. Lanckriet: Multivariate Autoregressive Mixture Models for Music Auto-Tagging. ISMIR 2012: 547-552
- [c45]Emanuele Coviello, Antoni B. Chan, Gert R. G. Lanckriet: The variational hierarchical EM algorithm for clustering hidden Markov models. NIPS 2012: 413-421
- [c44]Dor Kedem, Stephen Tyree, Kilian Q. Weinberger, Fei Sha, Gert R. G. Lanckriet: Non-linear Metric Learning. NIPS 2012: 2582-2590
- [c43]Brian McFee, Thierry Bertin-Mahieux, Daniel P. W. Ellis, Gert R. G. Lanckriet: The million song dataset challenge. WWW (Companion Volume) 2012: 909-916
- [i6]Emanuele Coviello, Antoni B. Chan, Gert R. G. Lanckriet: Clustering hidden Markov models with variational HEM. CoRR abs/1210.6707 (2012)
- 2011
- [j16]Brian McFee, Gert R. G. Lanckriet: Learning Multi-modal Similarity. Journal of Machine Learning Research 12: 491-523 (2011)
- [j15]Bharath K. Sriperumbudur, Kenji Fukumizu, Gert R. G. Lanckriet: Universality, Characteristic Kernels and RKHS Embedding of Measures. Journal of Machine Learning Research 12: 2389-2410 (2011)
- [j14]Bharath K. Sriperumbudur, David A. Torres, Gert R. G. Lanckriet: A majorization-minimization approach to the sparse generalized eigenvalue problem. Machine Learning 85(1-2): 3-39 (2011)
- [j13]Emanuele Coviello, Antoni B. Chan, Gert R. G. Lanckriet: Time Series Models for Semantic Music Annotation. IEEE Transactions on Audio, Speech & Language Processing 19(5): 1343-1359 (2011)
- [j12]Brian McFee, Carolina Galleguillos, Gert R. G. Lanckriet: Contextual Object Localization With Multiple Kernel Nearest Neighbor. IEEE Transactions on Image Processing 20(2): 570-585 (2011)
- [c42]Carolina Galleguillos, Brian McFee, Serge Belongie, Gert R. G. Lanckriet: From region similarity to category discovery. CVPR 2011: 2665-2672
- [c41]Brian McFee, Gert R. G. Lanckriet: Large-scale music similarity search with spatial trees. ISMIR 2011: 55-60
- [c40]
- [c39]Emanuele Coviello, Riccardo Miotto, Gert R. G. Lanckriet: Combining Content-Based Auto-Taggers with Decision-Fusion. ISMIR 2011: 705-710
- [c38]Katherine Ellis, Emanuele Coviello, Gert R. G. Lanckriet: Semantic Annotation and Retrieval of Music using a Bag of Systems Representation. ISMIR 2011: 723-728
- [c37]Yonatan Vaizman, Roni Y. Granot, Gert R. G. Lanckriet: Modeling Dynamic Patterns for Emotional Content in Music. ISMIR 2011: 747-752
- [c36]Bharath K. Sriperumbudur, Kenji Fukumizu, Gert R. G. Lanckriet: Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint. NIPS 2011: 1773-1781
- [i5]Brian McFee, Luke Barrington, Gert R. G. Lanckriet: Learning content similarity for music recommendation. CoRR abs/1105.2344 (2011)
- [i4]Emanuele Coviello, Antoni B. Chan, Gert R. G. Lanckriet: Tech Report A Variational HEM Algorithm for Clustering Hidden Markov Models. CoRR abs/1109.1032 (2011)
- 2010
- [j11]Bharath K. Sriperumbudur, Kenji Fukumizu, Gert R. G. Lanckriet: On the relation between universality, characteristic kernels and RKHS embedding of measures. Journal of Machine Learning Research - Proceedings Track 9: 773-780 (2010)
- [j10]Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Bernhard Schölkopf, Gert R. G. Lanckriet: Hilbert Space Embeddings and Metrics on Probability Measures. Journal of Machine Learning Research 11: 1517-1561 (2010)
- [j9]Luke Barrington, Antoni B. Chan, Gert R. G. Lanckriet: Modeling Music as a Dynamic Texture. IEEE Transactions on Audio, Speech & Language Processing 18(3): 602-612 (2010)
- [c35]Carolina Galleguillos, Brian McFee, Serge J. Belongie, Gert R. G. Lanckriet: Multi-class object localization by combining local contextual interactions. CVPR 2010: 113-120
- [c34]Antoni B. Chan, Emanuele Coviello, Gert R. G. Lanckriet: Clustering dynamic textures with the hierarchical EM algorithm. CVPR 2010: 2022-2029
- [c33]
- [c32]Bharath K. Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Bernhard Schölkopf, Gert R. G. Lanckriet: Non-parametric estimation of integral probability metrics. ISIT 2010: 1428-1432
- [c31]Emanuele Coviello, Luke Barrington, Antoni B. Chan, Gert R. G. Lanckriet: Automatic Music Tagging With Time Series Models. ISMIR 2010: 81-86
- [c30]Noam Koenigstein, Gert R. G. Lanckriet, Brian McFee, Yuval Shavitt: Collaborative Filtering Based on P2P Networks. ISMIR 2010: 153-158
- [c29]Riccardo Miotto, Luke Barrington, Gert R. G. Lanckriet: Improving Auto-tagging by Modeling Semantic Co-occurrences. ISMIR 2010: 297-302
- [c28]Brian McFee, Luke Barrington, Gert R. G. Lanckriet: Learning Similarity from Collaborative Filters. ISMIR 2010: 345-350
- [c27]Brian McFee, Gert R. G. Lanckriet: Learning similarity in heterogeneous data. Multimedia Information Retrieval 2010: 243-244
- [c26]Nikhil Rasiwasia, Jose Costa Pereira, Emanuele Coviello, Gabriel Doyle, Gert R. G. Lanckriet, Roger Levy, Nuno Vasconcelos: A new approach to cross-modal multimedia retrieval. ACM Multimedia 2010: 251-260
- [i3]
2000 – 2009
- 2009
- [c25]Luke Barrington, Antoni B. Chan, Gert R. G. Lanckriet: Dynamic texture models of music. ICASSP 2009: 1589-1592
- [c24]
- [c23]Luke Barrington, Reid Oda, Gert R. G. Lanckriet: Smarter than Genius? Human Evaluation of Music Recommender Systems. ISMIR 2009: 357-362
- [c22]Brian McFee, Gert R. G. Lanckriet: Heterogeneous Embedding for Subjective Artist Similarity. ISMIR 2009: 513-518
- [c21]Luke Barrington, Damien O'Malley, Douglas Turnbull, Gert R. G. Lanckriet: User-centered design of a social game to tag music. KDD Workshop on Human Computation 2009: 7-10
- [c20]Bharath K. Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Gert R. G. Lanckriet, Bernhard Schölkopf: Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions. NIPS 2009: 1750-1758
- [c19]Bharath K. Sriperumbudur, Gert R. G. Lanckriet: On the Convergence of the Concave-Convex Procedure. NIPS 2009: 1759-1767
- [c18]Douglas Turnbull, Luke Barrington, Gert R. G. Lanckriet, Mehrdad Yazdani: Combining audio content and social context for semantic music discovery. SIGIR 2009: 387-394
- [i2]Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Gert R. G. Lanckriet, Bernhard Schölkopf: A note on integral probability metrics and $\phi$-divergences. CoRR abs/0901.2698 (2009)
- 2008
- [j8]Douglas Turnbull, Luke Barrington, David A. Torres, Gert R. G. Lanckriet: Semantic Annotation and Retrieval of Music and Sound Effects. IEEE Transactions on Audio, Speech & Language Processing 16(2): 467-476 (2008)
- [c17]Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Gert R. G. Lanckriet, Bernhard Schölkopf: Injective Hilbert Space Embeddings of Probability Measures. COLT 2008: 111-122
- [c16]Bharath K. Sriperumbudur, Omer A. Lang, Gert R. G. Lanckriet: Metric embedding for kernel classification rules. ICML 2008: 1008-1015
- [c15]Douglas Turnbull, Luke Barrington, Gert R. G. Lanckriet: Five Approaches to Collecting Tags for Music. ISMIR 2008: 225-230
- [c14]Luke Barrington, Mehrdad Yazdani, Douglas Turnbull, Gert R. G. Lanckriet: Combining Feature Kernels for Semantic Music Retrieval. ISMIR 2008: 614-619
- 2007
- [j7]Sameer Agarwal, Josh Wills, Lawrence Cayton, Gert R. G. Lanckriet, David J. Kriegman, Serge Belongie: Generalized Non-metric Multidimensional Scaling. Journal of Machine Learning Research - Proceedings Track 2: 11-18 (2007)
- [c13]Antoni B. Chan, Nuno Vasconcelos, Gert R. G. Lanckriet: Direct convex relaxations of sparse SVM. ICML 2007: 145-153
- [c12]Bharath K. Sriperumbudur, David A. Torres, Gert R. G. Lanckriet: Sparse eigen methods by D.C. programming. ICML 2007: 831-838
- [c11]Douglas Turnbull, Gert R. G. Lanckriet, Elias Pampalk, Masataka Goto: A Supervised Approach for Detecting Boundaries in Music Using Difference Features and Boosting. ISMIR 2007: 51-54
- [c10]David A. Torres, Douglas Turnbull, Luke Barrington, Gert R. G. Lanckriet: Identifying Words that are Musically Meaningful. ISMIR 2007: 405-410
- [c9]Douglas Turnbull, Ruoran Liu, Luke Barrington, Gert R. G. Lanckriet: A Game-Based Approach for Collecting Semantic Annotations of Music. ISMIR 2007: 535-538
- [c8]Douglas Turnbull, Luke Barrington, David A. Torres, Gert R. G. Lanckriet: Towards musical query-by-semantic-description using the CAL500 data set. SIGIR 2007: 439-446
- 2006
- [c7]Douglas Turnbull, Luke Barrington, Gert R. G. Lanckriet: Modeling music and words using a multi-class naïve Bayes approach. ISMIR 2006: 254-259
- 2004
- [j6]Gert R. G. Lanckriet, Tijl De Bie, Nello Cristianini, Michael I. Jordan, William Stafford Noble: A statistical framework for genomic data fusion. Bioinformatics 20(16): 2626-2635 (2004)
- [j5]Gert R. G. Lanckriet, Nello Cristianini, Peter L. Bartlett, Laurent El Ghaoui, Michael I. Jordan: Learning the Kernel Matrix with Semidefinite Programming. Journal of Machine Learning Research 5: 27-72 (2004)
- [c6]Francis R. Bach, Gert R. G. Lanckriet, Michael I. Jordan: Multiple kernel learning, conic duality, and the SMO algorithm. ICML 2004
- [c5]Alexandre d'Aspremont, Laurent El Ghaoui, Michael I. Jordan, Gert R. G. Lanckriet: A Direct Formulation for Sparse PCA Using Semidefinite Programming. NIPS 2004
- [c4]Gert R. G. Lanckriet, Minghua Deng, Nello Cristianini, Michael I. Jordan, William Stafford Noble: Kernel-Based Data Fusion and Its Application to Protein Function Prediction in Yeast. Pacific Symposium on Biocomputing 2004: 300-311
- [i1]Alexandre d'Aspremont, Laurent El Ghaoui, Michael I. Jordan, Gert R. G. Lanckriet: A direct formulation for sparse PCA using semidefinite programming. CoRR cs.CE/0406021 (2004)
- 2002
- [j4]Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya, Michael I. Jordan: A Robust Minimax Approach to Classification. Journal of Machine Learning Research 3: 555-582 (2002)
- [j3]Tony Van Gestel, Johan A. K. Suykens, Gert R. G. Lanckriet, Annemie Lambrechts, Bart De Moor, Joos Vandewalle: Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis. Neural Computation 14(5): 1115-1147 (2002)
- [j2]Tony Van Gestel, Johan A. K. Suykens, Gert R. G. Lanckriet, Annemie Lambrechts, Bart De Moor, Joos Vandewalle: Multiclass LS SVMs Moderated Outputs and Coding Decoding Schemes. Neural Processing Letters 15(1): 45-58 (2002)
- [c3]Gert R. G. Lanckriet, Nello Cristianini, Peter L. Bartlett, Laurent El Ghaoui, Michael I. Jordan: Learning the Kernel Matrix with Semi-Definite Programming. ICML 2002: 323-330
- [c2]Gert R. G. Lanckriet, Laurent El Ghaoui, Michael I. Jordan: Robust Novelty Detection with Single-Class MPM. NIPS 2002: 905-912
- 2001
- [j1]Tony Van Gestel, Johan A. K. Suykens, Dirk-Emma Baestaens, Annemie Lambrechts, Gert R. G. Lanckriet, Bruno Vandaele, Bart De Moor, Joos Vandewalle: Financial time series prediction using least squares support vector machines within the evidence framework. IEEE Transactions on Neural Networks 12(4): 809-821 (2001)
- [c1]Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya, Michael I. Jordan: Minimax Probability Machine. NIPS 2001: 801-807
Coauthor Index
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last updated on 2013-05-23 22:15 CEST by the dblp team