Amanote Research
Register
Sign In
Learning for Structured Prediction Using Approximate Subgradient Descent With Working Sets
doi 10.1109/cvpr.2013.259
Full Text
Open PDF
Abstract
Available in
full text
Date
June 1, 2013
Authors
Aurelien Lucchi
Yunpeng Li
Pascal Fua
Publisher
IEEE
Related search
Simultaneous Twin Kernel Learning Using Polynomial Transformations for Structured Prediction
Distributed Subgradient Algorithm for Multi-Agent Convex Optimization With Local Constraint Sets
Applied and Computational Mathematics
Approximate Rolle's Theorems for the Proximal Subgradient and the Generalized Gradient
Journal of Mathematical Analysis and Applications
Applied Mathematics
Analysis
Bandit Structured Prediction for Neural Sequence-To-Sequence Learning
Linear Convergence of Epsilon-Subgradient Descent Methods for a Class of Convex Functions
Mathematical Programming, Series B
Mathematics
Software
Parametric Dictionary Learning Using Steepest Descent
A New Simultaneous Subgradient Projection Algorithm for Solving a Multiple-Sets Split Feasibility Problem
Applications of Mathematics
Applied Mathematics
Learning Rhyming Constraints Using Structured Adversaries
Gradient Descent Learning for Utility Current Compensation Using Active Regenerative PWM Filter
Journal of Computer Science
Computer Networks
Software
Artificial Intelligence
Communications