Computational Optimization and Applications
Iterative Methods of Solving Stochastic Convex Feasibility Problems andApplications
Computational Optimization and Applications
The MIN PFS problem and piecewise linear model estimation
Discrete Applied Mathematics - Special issue: Third ALIO-EURO meeting on applied combinatorial optimization
General Convergence Results for Linear Discriminant Updates
Machine Learning
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces
Machine Learning
Logistic Regression, AdaBoost and Bregman Distances
Machine Learning
A class of optimized row projection methods for solving large nonsymmetric linear systems
Applied Numerical Mathematics
Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Euro-Par '99 Proceedings of the 5th International Euro-Par Conference on Parallel Processing
Summed squared distance error reduction by simultaneous multiprojections and applications
Applied Mathematics and Computation
Numerical solution of special linear and quadratic programs via a parallel interior-point method
Parallel Computing - Special issue: Parallel computing in numerical optimization
An introduction to boosting and leveraging
Advanced lectures on machine learning
On the algorithmic implementation of multiclass kernel-based vector machines
The Journal of Machine Learning Research
Projection Support Vector Machine Generators
Machine Learning
Journal of Approximation Theory
Tree consistency and bounds on the performance of the max-product algorithm and its generalizations
Statistics and Computing
Journal of Parallel and Distributed Computing
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Large margin hierarchical classification
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Online and batch learning of pseudo-metrics
ICML '04 Proceedings of the twenty-first international conference on Machine learning
A needle in a haystack: local one-class optimization
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Kaczmarz extended algorithm for tomographic image reconstruction from limited-data
Mathematics and Computers in Simulation
Encyclopedia of Computer Science
An efficient subcircuit recognition using the nonlinear graph matching
SBCCI '05 Proceedings of the 18th annual symposium on Integrated circuits and system design
A distributed learning framework for heterogeneous data sources
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Model-based overlapping clustering
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Algorithms for the quasiconvex feasibility problem
Journal of Computational and Applied Mathematics
Multispectral image data fusion using POCS and super-resolution
Computer Vision and Image Understanding
Clustering with Bregman Divergences
The Journal of Machine Learning Research
Online large-margin training of dependency parsers
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Flexible text segmentation with structured multilabel classification
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Parallel image restoration using surrogate constraint methods
Journal of Parallel and Distributed Computing
Boundedness Theorems for the Relaxation Method
Mathematics of Operations Research
Efficient Learning of Label Ranking by Soft Projections onto Polyhedra
The Journal of Machine Learning Research
Information-theoretic metric learning
Proceedings of the 24th international conference on Machine learning
Pegasos: Primal Estimated sub-GrAdient SOlver for SVM
Proceedings of the 24th international conference on Machine learning
Canonicalization of database records using adaptive similarity measures
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
EURASIP Journal on Applied Signal Processing
Improving solver success in reaching feasibility for sets of nonlinear constraints
Computers and Operations Research
A primal-dual perspective of online learning algorithms
Machine Learning
Clustering for metric and non-metric distance measures
Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms
How good are projection methods for convex feasibility problems?
Computational Optimization and Applications
A rate-distortion one-class model and its applications to clustering
Proceedings of the 25th international conference on Machine learning
Proceedings of the 25th international conference on Machine learning
Relational learning via collective matrix factorization
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Adapting the Ranging Algorithm to the Positioning Technique in UWB Sensor Networks
Wireless Personal Communications: An International Journal
On Sparsity Maximization in Tomographic Particle Image Reconstruction
Proceedings of the 30th DAGM symposium on Pattern Recognition
A Unified View of Matrix Factorization Models
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Online Learning of Complex Prediction Problems Using Simultaneous Projections
The Journal of Machine Learning Research
The rate of convergence for the cyclic projections algorithm III: Regularity of convex sets
Journal of Approximation Theory
Coresets and approximate clustering for Bregman divergences
SODA '09 Proceedings of the twentieth Annual ACM-SIAM Symposium on Discrete Algorithms
The uniform hardcore lemma via approximate Bregman projections
SODA '09 Proceedings of the twentieth Annual ACM-SIAM Symposium on Discrete Algorithms
Graphical Models, Exponential Families, and Variational Inference
Foundations and Trends® in Machine Learning
A Deep Monotone Approximation Operator Based on the Best Quadratic Lower Bound of Convex Functions
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Self-organized Parallel Cooperation for Solving Optimization Problems
ARCS '09 Proceedings of the 22nd International Conference on Architecture of Computing Systems
Cutting-set methods for robust convex optimization with pessimizing oracles
Optimization Methods & Software
Grid-Enabled Optimization with GAMS
INFORMS Journal on Computing
The l1 solution of linear inequalities
Computational Statistics & Data Analysis
Multispectral image data fusion using POCS and super-resolution
Computer Vision and Image Understanding
Normalized incremental subgradient algorithm and its application
IEEE Transactions on Signal Processing
Distributed in-network channel decoding
IEEE Transactions on Signal Processing
Necessary and sufficient convergence conditions for algebraic image reconstruction algorithms
IEEE Transactions on Image Processing
Probabilistic coherence and proper scoring rules
IEEE Transactions on Information Theory
A collaborative training algorithm for distributed learning
IEEE Transactions on Information Theory
Sided and symmetrized Bregman centroids
IEEE Transactions on Information Theory
An error-driven word-character hybrid model for joint Chinese word segmentation and POS tagging
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Dynamic search initialisation strategies for multi-objective optimisation in peer-to-peer networks
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Linear Programming Boosting by Column and Row Generation
DS '09 Proceedings of the 12th International Conference on Discovery Science
Multi-class confidence weighted algorithms
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Performance bounds on compressed sensing with Poisson noise
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 1
Algorithms for the quasiconvex feasibility problem
Journal of Computational and Applied Mathematics
Robust reduced-rank adaptive algorithm based on parallel subgradient projection and Krylov subspace
IEEE Transactions on Signal Processing
Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes
The Journal of Machine Learning Research
Approximation algorithms for tensor clustering
ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
Clustering for metric and nonmetric distance measures
ACM Transactions on Algorithms (TALG)
A hybrid Kaczmarz-Conjugate Gradient algorithm for image reconstruction
Mathematics and Computers in Simulation
Compressed sensing performance bounds under Poisson noise
IEEE Transactions on Signal Processing
International Journal of High Performance Computing Applications
A Parallel Splitting Method for Coupled Monotone Inclusions
SIAM Journal on Control and Optimization
Operator Splittings, Bregman Methods and Frame Shrinkage in Image Processing
International Journal of Computer Vision
Self-organized invasive parallel optimization
Proceedings of the 3rd workshop on Biologically inspired algorithms for distributed systems
Information, Divergence and Risk for Binary Experiments
The Journal of Machine Learning Research
One shot similarity metric learning for action recognition
SIMBAD'11 Proceedings of the First international conference on Similarity-based pattern recognition
Efficient large scale linear programming support vector machines
ECML'06 Proceedings of the 17th European conference on Machine Learning
Online tracking of linear subspaces
COLT'06 Proceedings of the 19th annual conference on Learning Theory
A parallel collaborative algorithm based on partial duality in interconnected power grids
GCC'05 Proceedings of the 4th international conference on Grid and Cooperative Computing
Algorithms for the Split Variational Inequality Problem
Numerical Algorithms
Randomized relaxation methods for the maximum feasible subsystem problem
IPCO'05 Proceedings of the 11th international conference on Integer Programming and Combinatorial Optimization
An online algorithm for hierarchical phoneme classification
MLMI'04 Proceedings of the First international conference on Machine Learning for Multimodal Interaction
Loss bounds for online category ranking
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Entire relaxation path for maximum entropy problems
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Trace equivalence characterization through reinforcement learning
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Foundations and Trends® in Machine Learning
Computational Optimization and Applications
The application of an oblique-projected Landweber method to a model of supervised learning
Mathematical and Computer Modelling: An International Journal
The Latent Maximum Entropy Principle
ACM Transactions on Knowledge Discovery from Data (TKDD)
Convex feasibility modeling and projection methods for sparse signal recovery
Journal of Computational and Applied Mathematics
Exploiting chunk-level features to improve phrase chunking
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Mirror descent for metric learning: a unified approach
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Convergence and perturbation resilience of dynamic string-averaging projection methods
Computational Optimization and Applications
Distributed Intelligence for Constructing Economic Models
International Journal of Organizational and Collective Intelligence
Improved constraint consensus methods for seeking feasibility in nonlinear programs
Computational Optimization and Applications
Adaptive regularization of weight vectors
Machine Learning
Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
Column Generation for the Minimum Hyperplanes Clustering Problem
INFORMS Journal on Computing
Journal of Approximation Theory
Hartigan's K-means versus Lloyd's K-means: is it time for a change?
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Efficient latent structural perceptron with hybrid trees for semantic parsing
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Differential evolution with multi-constraint consensus methods for constrained optimization
Journal of Global Optimization
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