.879-approximation algorithms for MAX CUT and MAX 2SAT
STOC '94 Proceedings of the twenty-sixth annual ACM symposium on Theory of computing
The Clarke and Michel-Penot Subdifferentials of the Eigenvalues of a Symmetric Matrix
Computational Optimization and Applications - Special issue on computational optimization—a tribute to Olvi Mangasarian, part II
Shock Graphs and Shape Matching
International Journal of Computer Vision
Optimal Hoffman-Type Estimates in Eigenvalue and Semidefinite Inequality Constraints
Journal of Global Optimization
Graph-theoretical methods in computer vision
Theoretical aspects of computer science
A Unified Framework for Indexing and Matching Hierarchical Shape Structures
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
Graph-Theoretical Methods in Computer Vision
Theoretical Aspects of Computer Science, Advanced Lectures [First Summer School on Theoretical Aspects of Computer Science, Tehran, Iran, July 2000]
Semidefinite programming for discrete optimization and matrix completion problems
Discrete Applied Mathematics
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
Distributed average consensus with least-mean-square deviation
Journal of Parallel and Distributed Computing
Learning Spectral Clustering, With Application To Speech Separation
The Journal of Machine Learning Research
Smoothing method for minimizing the sum of the r largest functions
Optimization Methods & Software
Supervised dimensionality reduction via sequential semidefinite programming
Pattern Recognition
A convex formulation for learning shared structures from multiple tasks
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Linear dimensionality reduction for multi-label classification
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
A convex programming approach to the trace quotient problem
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Minimizing the Condition Number of a Gram Matrix
SIAM Journal on Optimization
A Sequential Semismooth Newton Method for the Nearest Low-rank Correlation Matrix Problem
SIAM Journal on Optimization
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