Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Convex Optimization
Support vector machine learning for interdependent and structured output spaces
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Learning associative Markov networks
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Learning structured prediction models: a large margin approach
Learning structured prediction models: a large margin approach
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Kernelizing the output of tree-based methods
ICML '06 Proceedings of the 23rd international conference on Machine learning
ICML '06 Proceedings of the 23rd international conference on Machine learning
Evolutionary learning with kernels: a generic solution for large margin problems
Proceedings of the 8th annual conference on Genetic and evolutionary computation
A discriminative matching approach to word alignment
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
The Interplay of Optimization and Machine Learning Research
The Journal of Machine Learning Research
Structured Prediction, Dual Extragradient and Bregman Projections
The Journal of Machine Learning Research
Solving multiclass support vector machines with LaRank
Proceedings of the 24th international conference on Machine learning
Gradient boosting for kernelized output spaces
Proceedings of the 24th international conference on Machine learning
Controlling overfitting with multi-objective support vector machines
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Enhanced max margin learning on multimodal data mining in a multimedia database
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
A unified and discriminative model for query refinement
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Answering questions with authority
Proceedings of the 17th ACM conference on Information and knowledge management
Search-based structured prediction
Machine Learning
Unsupervised search-based structured prediction
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Multi-output regression on the output manifold
Pattern Recognition
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
On the local optimality of LambdaRank
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Discriminative methods for transliteration
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Online large-margin training of syntactic and structural translation features
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Cross-task knowledge-constrained self training
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Simulated Iterative Classification A New Learning Procedure for Graph Labeling
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Training parsers by inverse reinforcement learning
Machine Learning
Optimal Weights for Convex Functionals in Medical Image Segmentation
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Distributed asynchronous online learning for natural language processing
CoNLL '10 Proceedings of the Fourteenth Conference on Computational Natural Language Learning
Optimizing complex loss functions in structured prediction
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Every picture tells a story: generating sentences from images
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
The Stanford LittleDog: A learning and rapid replanning approach to quadruped locomotion
International Journal of Robotics Research
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Graph-based methods for the automatic annotation and retrieval of art prints
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Inverse Reinforcement Learning in Partially Observable Environments
The Journal of Machine Learning Research
Probabilistic-logical web data integration
RW'11 Proceedings of the 7th international conference on Reasoning web: semantic technologies for the web of data
Collective prediction with latent graphs
Proceedings of the 20th ACM international conference on Information and knowledge management
Predicting Metal-Binding Sites from Protein Sequence
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Fisher kernels for relational data
ECML'06 Proceedings of the 17th European conference on Machine Learning
Feature-rich language-independent syntax-based alignment for statistical machine translation
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Perceptron models for online structured prediction
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Implicitly intersecting weighted automata using dual decomposition
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
On learning higher-order consistency potentials for multi-class pixel labeling
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Morphological and syntactic case in statistical dependency parsing
Computational Linguistics
SEED: a framework for extracting social events from press news
Proceedings of the 22nd international conference on World Wide Web companion
Object and Action Classification with Latent Window Parameters
International Journal of Computer Vision
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We consider large margin estimation in a broad range of prediction models where inference involves solving combinatorial optimization problems, for example, weighted graph-cuts or matchings. Our goal is to learn parameters such that inference using the model reproduces correct answers on the training data. Our method relies on the expressive power of convex optimization problems to compactly capture inference or solution optimality in structured prediction models. Directly embedding this structure within the learning formulation produces concise convex problems for efficient estimation of very complex and diverse models. We describe experimental results on a matching task, disulfide connectivity prediction, showing significant improvements over state-of-the-art methods.