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ORCIDGert R. G. Lanckriet
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- affiliation: University of California, San Diego, USA
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2010 – 2019
- 2018
[c63]Yonatan Vaizman, Katherine Ellis, Gert R. G. Lanckriet, Nadir Weibel:
ExtraSensory App: Data Collection In-the-Wild with Rich User Interface to Self-Report Behavior. CHI 2018: 554- 2017
- [j28]Yonatan Vaizman, Nadir Weibel, Gert R. G. Lanckriet:
Context Recognition In-the-Wild: Unified Model for Multi-Modal Sensors and Multi-Label Classification. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(4): 168:1-168:22 (2017) - [j27]Yonatan Vaizman, Katherine Ellis, Gert R. G. Lanckriet:
Recognizing Detailed Human Context in the Wild from Smartphones and Smartwatches. IEEE Pervasive Comput. 16(4): 62-74 (2017) - 2016
- [c62]Janani Kalyanam, Sumithra Velupillai
, Mike Conway, Gert R. G. Lanckriet:
From event detection to storytelling on microblogs. ASONAM 2016: 437-442 - [c61]Katherine Ellis, Moisés Goldszmidt, Gert R. G. Lanckriet, Nina Mishra, Omer Reingold:
Equality and Social Mobility in Twitter Discussion Groups. WSDM 2016: 523-532 - [i10]Yonatan Vaizman, Katherine Ellis, Gert R. G. Lanckriet:
Recognizing Detailed Human Context In-the-Wild from Smartphones and Smartwatches. CoRR abs/1609.06354 (2016) - 2015
- [j26]Adeel Mumtaz, Emanuele Coviello, Gert R. G. Lanckriet, Antoni B. Chan:
A Scalable and Accurate Descriptor for Dynamic Textures Using Bag of System Trees. IEEE Trans. Pattern Anal. Mach. Intell. 37(4): 697-712 (2015) - [c60]Ju-Chiang Wang, Hsin-Min Wang, Gert R. G. Lanckriet:
A histogram density modeling approach to music emotion recognition. ICASSP 2015: 698-702 - [c59]Janani Kalyanam, Amin Mantrach, Diego Sáez-Trumper, Hossein Vahabi, Gert R. G. Lanckriet:
Leveraging Social Context for Modeling Topic Evolution. KDD 2015: 517-526 - [c58]Daryl Lim, Julian J. McAuley, Gert R. G. Lanckriet:
Top-N Recommendation with Missing Implicit Feedback. RecSys 2015: 309-312 - [i9]Janani Kalyanam, Sumithra Velupillai, Son Doan, Mike Conway, Gert R. G. Lanckriet:
Facts and Fabrications about Ebola: A Twitter Based Study. CoRR abs/1508.02079 (2015) - [i8]Janani Kalyanam, Mauricio Quezada, Barbara Poblete, Gert R. G. Lanckriet:
Early prediction and characterization of high-impact world events using social media. CoRR abs/1511.01830 (2015) - 2014
- [j25]Carolina Galleguillos, Brian McFee, Gert R. G. Lanckriet:
Iterative Category Discovery via Multiple Kernel Metric Learning. Int. J. Comput. Vis. 108(1-2): 115-132 (2014) - [j24]Emanuele Coviello, Antoni B. Chan, Gert R. G. Lanckriet:
Clustering hidden Markov models with variational HEM. J. Mach. Learn. Res. 15(1): 697-747 (2014) - [j23]José Costa Pereira, Emanuele Coviello, Gabriel Doyle, Nikhil Rasiwasia, Gert R. G. Lanckriet, Roger Levy, Nuno Vasconcelos:
On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 36(3): 521-535 (2014) - [j22]Yonatan Vaizman, Brian McFee, Gert R. G. Lanckriet:
Codebook-Based Audio Feature Representation for Music Information Retrieval. IEEE ACM Trans. Audio Speech Lang. Process. 22(10): 1483-1493 (2014) - [c57]Katherine Ellis, Suneeta Godbole, Jacqueline Kerr, Gert R. G. Lanckriet:
Multi-sensor physical activity recognition in free-living. UbiComp Adjunct 2014: 431-440 - [c56]Daryl Lim, Gert R. G. Lanckriet:
Efficient Learning of Mahalanobis Metrics for Ranking. ICML 2014: 1980-1988 - [c55]Janani Kalyanam, Gert R. G. Lanckriet:
Learning from unstructured multimedia data. WWW (Companion Volume) 2014: 309-310 - 2013
- [j21]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) - [j20]Katherine Ellis, Emanuele Coviello, Antoni B. Chan, Gert R. G. Lanckriet:
A Bag of Systems Representation for Music Auto-Tagging. IEEE ACM Trans. Audio Speech Lang. Process. 21(12): 2554-2569 (2013) - [c54]Emanuele Coviello, Adeel Mumtaz, Antoni B. Chan, Gert R. G. Lanckriet:
That was fast! Speeding up NN search of high dimensional distributions. ICML (3) 2013: 468-476 - [c53]Daryl Lim, Gert R. G. Lanckriet, Brian McFee:
Robust Structural Metric Learning. ICML (1) 2013: 615-623 - [c52]Katherine Ellis, Suneeta Godbole, Jacqueline Chen, Simon J. Marshall, Gert R. G. Lanckriet, Jacqueline Kerr:
Physical activity recognition in free-living from body-worn sensors. SenseCam 2013: 88-89 - [r1]Albert Yu-Min Lin, Andrew Huynh, Luke Barrington, Gert R. G. Lanckriet:
Search and Discovery Through Human Computation. Handbook of Human Computation 2013: 171-186 - [i7]Yonatan Vaizman, Brian McFee, Gert R. G. Lanckriet:
Codebook based Audio Feature Representation for Music Information Retrieval. CoRR abs/1312.5457 (2013) - 2012
- [j19]Bharath K. Sriperumbudur, Gert R. G. Lanckriet:
A Proof of Convergence of the Concave-Convex Procedure Using Zangwill's Theory. Neural Comput. 24(6): 1391-1407 (2012) - [j18]Luke Barrington, Douglas Turnbull, Gert R. G. Lanckriet:
Game-powered machine learning. Proc. Natl. Acad. Sci. USA 109(17): 6411-6416 (2012) - [j17]Riccardo Miotto, Gert R. G. Lanckriet:
A Generative Context Model for Semantic Music Annotation and Retrieval. IEEE Trans. Speech Audio Process. 20(4): 1096-1108 (2012) - [j16]Brian McFee, Luke Barrington, Gert R. G. Lanckriet:
Learning Content Similarity for Music Recommendation. IEEE Trans. Speech Audio Process. 20(8): 2207-2218 (2012) - [c51]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 - [c50]Brian McFee, Gert R. G. Lanckriet:
Hypergraph Models of Playlist Dialects. ISMIR 2012: 343-348 - [c49]Emanuele Coviello, Yonatan Vaizman, Antoni B. Chan, Gert R. G. Lanckriet:
Multivariate Autoregressive Mixture Models for Music Auto-Tagging. ISMIR 2012: 547-552 - [c48]Emanuele Coviello, Antoni B. Chan, Gert R. G. Lanckriet:
The variational hierarchical EM algorithm for clustering hidden Markov models. NIPS 2012: 413-421 - [c47]Dor Kedem, Stephen Tyree, Kilian Q. Weinberger, Fei Sha, Gert R. G. Lanckriet:
Non-linear Metric Learning. NIPS 2012: 2582-2590 - [c46]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
- [j15]Brian McFee, Gert R. G. Lanckriet:
Learning Multi-modal Similarity. J. Mach. Learn. Res. 12: 491-523 (2011) - [j14]Bharath K. Sriperumbudur, Kenji Fukumizu, Gert R. G. Lanckriet:
Universality, Characteristic Kernels and RKHS Embedding of Measures. J. Mach. Learn. Res. 12: 2389-2410 (2011) - [j13]Bharath K. Sriperumbudur, David A. Torres, Gert R. G. Lanckriet:
A majorization-minimization approach to the sparse generalized eigenvalue problem. Mach. Learn. 85(1-2): 3-39 (2011) - [j12]Emanuele Coviello, Antoni B. Chan, Gert R. G. Lanckriet:
Time Series Models for Semantic Music Annotation. IEEE Trans. Speech Audio Process. 19(5): 1343-1359 (2011) - [j11]Brian McFee, Carolina Galleguillos, Gert R. G. Lanckriet:
Contextual Object Localization With Multiple Kernel Nearest Neighbor. IEEE Trans. Image Process. 20(2): 570-585 (2011) - [c45]Carolina Galleguillos, Brian McFee, Serge J. Belongie, Gert R. G. Lanckriet:
From region similarity to category discovery. CVPR 2011: 2665-2672 - [c44]Brian McFee, Gert R. G. Lanckriet:
Large-scale music similarity search with spatial trees. ISMIR 2011: 55-60 - [c43]Brian McFee, Gert R. G. Lanckriet:
The Natural Language of Playlists. ISMIR 2011: 537-542 - [c42]Emanuele Coviello, Riccardo Miotto, Gert R. G. Lanckriet:
Combining Content-Based Auto-Taggers with Decision-Fusion. ISMIR 2011: 705-710 - [c41]Katherine Ellis, Emanuele Coviello, Gert R. G. Lanckriet:
Semantic Annotation and Retrieval of Music using a Bag of Systems Representation. ISMIR 2011: 723-728 - [c40]Yonatan Vaizman, Roni Y. Granot, Gert R. G. Lanckriet:
Modeling Dynamic Patterns for Emotional Content in Music. ISMIR 2011: 747-752 - [c39]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
- [j10]Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Bernhard Schölkopf, Gert R. G. Lanckriet:
Hilbert Space Embeddings and Metrics on Probability Measures. J. Mach. Learn. Res. 11: 1517-1561 (2010) - [j9]Luke Barrington, Antoni B. Chan, Gert R. G. Lanckriet:
Modeling Music as a Dynamic Texture. IEEE Trans. Speech Audio Process. 18(3): 602-612 (2010) - [c38]Carolina Galleguillos, Brian McFee, Serge J. Belongie, Gert R. G. Lanckriet:
Multi-class object localization by combining local contextual interactions. CVPR 2010: 113-120 - [c37]Antoni B. Chan, Emanuele Coviello, Gert R. G. Lanckriet:
Clustering dynamic textures with the hierarchical EM algorithm. CVPR 2010: 2022-2029 - [c36]Brian McFee, Gert R. G. Lanckriet:
Metric Learning to Rank. ICML 2010: 775-782 - [c35]Bharath K. Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Bernhard Schölkopf, Gert R. G. Lanckriet:
Non-parametric estimation of integral probability metrics. ISIT 2010: 1428-1432 - [c34]Emanuele Coviello, Luke Barrington, Antoni B. Chan, Gert R. G. Lanckriet:
Automatic Music Tagging With Time Series Models. ISMIR 2010: 81-86 - [c33]Noam Koenigstein, Gert R. G. Lanckriet, Brian McFee, Yuval Shavitt:
Collaborative Filtering Based on P2P Networks. ISMIR 2010: 153-158 - [c32]Riccardo Miotto, Luke Barrington, Gert R. G. Lanckriet:
Improving Auto-tagging by Modeling Semantic Co-occurrences. ISMIR 2010: 297-302 - [c31]Brian McFee, Luke Barrington, Gert R. G. Lanckriet:
Learning Similarity from Collaborative Filters. ISMIR 2010: 345-350 - [c30]Brian McFee, Gert R. G. Lanckriet:
Learning similarity in heterogeneous data. Multimedia Information Retrieval 2010: 243-244 - [c29]Nikhil Rasiwasia, José 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 - [c28]Bharath K. Sriperumbudur, Kenji Fukumizu, Gert R. G. Lanckriet:
On the relation between universality, characteristic kernels and RKHS embedding of measures. AISTATS 2010: 773-780 - [i3]Brian McFee, Gert R. G. Lanckriet:
Learning Multi-modal Similarity. CoRR abs/1008.5163 (2010)
2000 – 2009
- 2009
- [c27]Luke Barrington, Antoni B. Chan, Gert R. G. Lanckriet:
Dynamic texture models of music. ICASSP 2009: 1589-1592 - [c26]Brian McFee, Gert R. G. Lanckriet:
Partial order embedding with multiple kernels. ICML 2009: 721-728 - [c25]Luke Barrington, Reid Oda, Gert R. G. Lanckriet:
Smarter than Genius? Human Evaluation of Music Recommender Systems. ISMIR 2009: 357-362 - [c24]Brian McFee, Gert R. G. Lanckriet:
Heterogeneous Embedding for Subjective Artist Similarity. ISMIR 2009: 513-518 - [c23]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 - [c22]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 - [c21]Bharath K. Sriperumbudur, Gert R. G. Lanckriet:
On the Convergence of the Concave-Convex Procedure. NIPS 2009: 1759-1767 - [c20]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 Trans. Speech Audio Process. 16(2): 467-476 (2008) - [c19]Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Gert R. G. Lanckriet, Bernhard Schölkopf:
Injective Hilbert Space Embeddings of Probability Measures. COLT 2008: 111-122 - [c18]Bharath K. Sriperumbudur, Omer A. Lang, Gert R. G. Lanckriet:
Metric embedding for kernel classification rules. ICML 2008: 1008-1015 - [c17]Douglas Turnbull, Luke Barrington, Gert R. G. Lanckriet:
Five Approaches to Collecting Tags for Music. ISMIR 2008: 225-230 - [c16]Luke Barrington, Mehrdad Yazdani, Douglas Turnbull, Gert R. G. Lanckriet:
Combining Feature Kernels for Semantic Music Retrieval. ISMIR 2008: 614-619 - 2007
- [j7]Alexandre d'Aspremont, Laurent El Ghaoui, Michael I. Jordan, Gert R. G. Lanckriet:
A Direct Formulation for Sparse PCA Using Semidefinite Programming. SIAM Rev. 49(3): 434-448 (2007) - [c15]Luke Barrington, Antoni B. Chan, Douglas Turnbull, Gert R. G. Lanckriet:
Audio Information Retrieval using Semantic Similarity. ICASSP (2) 2007: 725-728 - [c14]Antoni B. Chan, Nuno Vasconcelos, Gert R. G. Lanckriet:
Direct convex relaxations of sparse SVM. ICML 2007: 145-153 - [c13]Bharath K. Sriperumbudur, David A. Torres, Gert R. G. Lanckriet:
Sparse eigen methods by D.C. programming. ICML 2007: 831-838 - [c12]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 - [c11]David A. Torres, Douglas Turnbull, Luke Barrington, Gert R. G. Lanckriet:
Identifying Words that are Musically Meaningful. ISMIR 2007: 405-410 - [c10]Douglas Turnbull, Ruoran Liu, Luke Barrington, Gert R. G. Lanckriet:
A Game-Based Approach for Collecting Semantic Annotations of Music. ISMIR 2007: 535-538 - [c9]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 - [c8]Sameer Agarwal, Josh Wills, Lawrence Cayton, Gert R. G. Lanckriet, David J. Kriegman, Serge J. Belongie:
Generalized Non-metric Multidimensional Scaling. AISTATS 2007: 11-18 - 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. Bioinform. 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. J. Mach. Learn. Res. 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: 41-48 - [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. J. Mach. Learn. Res. 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 Comput. 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 Process. Lett. 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 Trans. 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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