Gert R. G. Lanckriet

According to our database1, Gert R. G. Lanckriet authored at least 95 papers between 2001 and 2018.

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Bibliography

2018
ExtraSensory App: Data Collection In-the-Wild with Rich User Interface to Self-Report Behavior.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017
Recognizing Detailed Human Context in the Wild from Smartphones and Smartwatches.
IEEE Pervasive Comput., 2017

Context Recognition In-the-Wild: Unified Model for Multi-Modal Sensors and Multi-Label Classification.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

2016
Equality and Social Mobility in Twitter Discussion Groups.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

From event detection to storytelling on microblogs.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
A Scalable and Accurate Descriptor for Dynamic Textures Using Bag of System Trees.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Facts and Fabrications about Ebola: A Twitter Based Study.
CoRR, 2015

Early prediction and characterization of high-impact world events using social media.
CoRR, 2015

Top-N Recommendation with Missing Implicit Feedback.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Leveraging Social Context for Modeling Topic Evolution.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

A histogram density modeling approach to music emotion recognition.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Codebook-Based Audio Feature Representation for Music Information Retrieval.
IEEE ACM Trans. Audio Speech Lang. Process., 2014

On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Clustering hidden Markov models with variational HEM.
J. Mach. Learn. Res., 2014

Iterative Category Discovery via Multiple Kernel Metric Learning.
Int. J. Comput. Vis., 2014

Learning from unstructured multimedia data.
Proceedings of the 23rd International World Wide Web Conference, 2014

Efficient Learning of Mahalanobis Metrics for Ranking.
Proceedings of the 31th International Conference on Machine Learning, 2014

Multi-sensor physical activity recognition in free-living.
Proceedings of the 2014 ACM Conference on Ubiquitous Computing, 2014

2013
Search and Discovery Through Human Computation.
Proceedings of the Handbook of Human Computation, 2013

A Bag of Systems Representation for Music Auto-Tagging.
IEEE ACM Trans. Audio Speech Lang. Process., 2013

Clustering Dynamic Textures with the Hierarchical EM Algorithm for Modeling Video.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Physical activity recognition in free-living from body-worn sensors.
Proceedings of the International SenseCam & Pervasive Imaging Conference 2013, 2013

Robust Structural Metric Learning.
Proceedings of the 30th International Conference on Machine Learning, 2013

That was fast! Speeding up NN search of high dimensional distributions.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
A Generative Context Model for Semantic Music Annotation and Retrieval.
IEEE Trans. Speech Audio Process., 2012

Learning Content Similarity for Music Recommendation.
IEEE Trans. Speech Audio Process., 2012

Game-powered machine learning.
Proc. Natl. Acad. Sci. USA, 2012

A Proof of Convergence of the Concave-Convex Procedure Using Zangwill's Theory.
Neural Comput., 2012

The million song dataset challenge.
Proceedings of the 21st World Wide Web Conference, 2012

Non-linear Metric Learning.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

The variational hierarchical EM algorithm for clustering hidden Markov models.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Hypergraph Models of Playlist Dialects.
Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

Multivariate Autoregressive Mixture Models for Music Auto-Tagging.
Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

Growing a bag of systems tree for fast and accurate classification.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Contextual Object Localization With Multiple Kernel Nearest Neighbor.
IEEE Trans. Image Process., 2011

Time Series Models for Semantic Music Annotation.
IEEE Trans. Speech Audio Process., 2011

A majorization-minimization approach to the sparse generalized eigenvalue problem.
Mach. Learn., 2011

Universality, Characteristic Kernels and RKHS Embedding of Measures.
J. Mach. Learn. Res., 2011

Learning Multi-modal Similarity.
J. Mach. Learn. Res., 2011

Tech Report A Variational HEM Algorithm for Clustering Hidden Markov Models
CoRR, 2011

Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Modeling Dynamic Patterns for Emotional Content in Music.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

The Natural Language of Playlists.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

Large-scale music similarity search with spatial trees.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

Semantic Annotation and Retrieval of Music using a Bag of Systems Representation.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

Combining Content-Based Auto-Taggers with Decision-Fusion.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

From region similarity to category discovery.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Modeling Music as a Dynamic Texture.
IEEE Trans. Speech Audio Process., 2010

Hilbert Space Embeddings and Metrics on Probability Measures.
J. Mach. Learn. Res., 2010

On the relation between universality, characteristic kernels and RKHS embedding of measures.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

A new approach to cross-modal multimedia retrieval.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

Learning similarity in heterogeneous data.
Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010

Improving Auto-tagging by Modeling Semantic Co-occurrences.
Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

Learning Similarity from Collaborative Filters.
Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

Collaborative Filtering Based on P2P Networks.
Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

Automatic Music Tagging With Time Series Models.
Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

Non-parametric estimation of integral probability metrics.
Proceedings of the IEEE International Symposium on Information Theory, 2010

Metric Learning to Rank.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Multi-class object localization by combining local contextual interactions.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Clustering dynamic textures with the hierarchical EM algorithm.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
A note on integral probability metrics and $\phi$-divergences
CoRR, 2009

Combining audio content and social context for semantic music discovery.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

On the Convergence of the Concave-Convex Procedure.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

User-centered design of a social game to tag music.
Proceedings of the ACM SIGKDD Workshop on Human Computation, Paris, France, June 28, 2009, 2009

Heterogeneous Embedding for Subjective Artist Similarity.
Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009

Smarter than Genius? Human Evaluation of Music Recommender Systems.
Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009

Partial order embedding with multiple kernels.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Dynamic texture models of music.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Semantic Annotation and Retrieval of Music and Sound Effects.
IEEE Trans. Speech Audio Process., 2008

Five Approaches to Collecting Tags for Music.
Proceedings of the ISMIR 2008, 2008

Combining Feature Kernels for Semantic Music Retrieval.
Proceedings of the ISMIR 2008, 2008

Metric embedding for kernel classification rules.
Proceedings of the Machine Learning, 2008

Injective Hilbert Space Embeddings of Probability Measures.
Proceedings of the 21st Annual Conference on Learning Theory, 2008

2007
A Direct Formulation for Sparse PCA Using Semidefinite Programming.
SIAM Rev., 2007

Generalized Non-metric Multidimensional Scaling.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Towards musical query-by-semantic-description using the CAL500 data set.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

A Supervised Approach for Detecting Boundaries in Music Using Difference Features and Boosting.
Proceedings of the 8th International Conference on Music Information Retrieval, 2007

A Game-Based Approach for Collecting Semantic Annotations of Music.
Proceedings of the 8th International Conference on Music Information Retrieval, 2007

Identifying Words that are Musically Meaningful.
Proceedings of the 8th International Conference on Music Information Retrieval, 2007

Sparse eigen methods by D.C. programming.
Proceedings of the Machine Learning, 2007

Direct convex relaxations of sparse SVM.
Proceedings of the Machine Learning, 2007

Audio Information Retrieval using Semantic Similarity.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Modeling music and words using a multi-class naïve Bayes approach.
Proceedings of the ISMIR 2006, 2006

2004
Learning the Kernel Matrix with Semidefinite Programming.
J. Mach. Learn. Res., 2004

A statistical framework for genomic data fusion.
Bioinform., 2004

Kernel-Based Data Fusion and Its Application to Protein Function Prediction in Yeast.
Proceedings of the Biocomputing 2004, 2004

Multiple kernel learning, conic duality, and the SMO algorithm.
Proceedings of the Machine Learning, 2004

2002
Multiclass LS SVMs Moderated Outputs and Coding Decoding Schemes.
Neural Process. Lett., 2002

Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis.
Neural Comput., 2002

A Robust Minimax Approach to Classification.
J. Mach. Learn. Res., 2002

Robust Novelty Detection with Single-Class MPM.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Learning the Kernel Matrix with Semi-Definite Programming.
Proceedings of the Machine Learning, 2002

2001
Financial time series prediction using least squares support vector machines within the evidence framework.
IEEE Trans. Neural Networks, 2001

Minimax Probability Machine.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001


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