A multi-task framework for metric learning with common subspace

No abstract is available for this paper.

• Publication year

  2012

• Venue

  Neural computing & applications (Print)

• Publication date

  2012-06-03

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1007/s00521-012-0956-8
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Generalized sparse metric learning with relative comparisons

  2011cited by this paper
• Multi-Task Low-Rank Metric Learning Based on Common Subspace

  2011cited by this paper
• Large Margin Multi-Task Metric Learning

  2010cited by this paper
• Probabilistic Multi-Task Feature Selection

  2010cited by this paper
• Convex multi-task feature learning

  2008cited by this paper
• Large Margin Component Analysis

  2006cited by this paper
• Information-theoretic metric learning

  2006cited by this paper
• Learning sparse metrics via linear programming

  2006cited by this paper
• Distance Metric Learning for Large Margin Nearest Neighbor Classification

  2005cited by this paper
• Regularized multi--task learning

  2004cited by this paper
• Neighbourhood Components Analysis

  2004cited by this paper
• Kernels for Multi--task Learning

  2004cited by this paper
• Distance Metric Learning with Application to Clustering with Side-Information

  2002cited by this paper
• Statistical Pattern Recognition

  2001influential reference
• Multitask Learning

  1997cited by this paper
• Spoken Letter Recognition

  1990cited by this paper

• Multi-task support vector machine with pinball loss

  2021cites this paper
• Weighted multi-view common subspace learning method

  2021cites this paper
• Semi-supervised Online Multi-Task Metric Learning for Visual Recognition and Retrieval

  2020cites this paper
• Cross-Media Semantic Matching based on Sparse Representation

  2019cites this paper
• Multitask possibilistic and fuzzy co-clustering algorithm for clustering data with multisource features

  2018cites this paper
• Graph regularized multiview marginal discriminant projection

  2018cites this paper
• A review on multitask metric learning

  2018cites this paper
• Learning Latent Features With Infinite Nonnegative Binary Matrix Trifactorization

  2018cites this paper
• Transfer metric learning: algorithms, applications and outlooks

  2018cites this paper
• Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression

  2018cites this paper
• A review on multi-task metric learning

  2018cites this paper
• CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval

  2016cites this paper
• Development of face analysis approximation methods by machine learning. (Développement de méthodes de rapprochement physionomique par apprentissage machine)

  2016influential citation
• Chi-Squared Distance Metric Learning for Histogram Data

  2015cites this paper
• Recent advances on supervised distance metric learning algorithms

  2014cites this paper
• Person Re-Identification Over Camera Networks Using Multi-Task Distance Metric Learning

  2014cites this paper
• A Kernel Classification Framework for Metric Learning

  2013cites this paper
• Geometry preserving multi-task metric learning

  2012influential citation