Generalized sparse metric learning with relative comparisons

No abstract is available for this paper.

• Publication year

  2011

• Venue

  Knowledge and Information Systems

• Publication date

  2011-07-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1007/s10115-010-0313-0
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Introductory Lectures on Convex Optimization - A Basic Course

  2014cited by this paper
• Learning with Kernels

  2011cited by this paper
• Accelerating sequence searching: dimensionality reduction method

  2009cited by this paper
• Short text similarity based on probabilistic topics

  2009cited by this paper
• Characterization and evaluation of similarity measures for pairs of clusterings

  2009cited by this paper
• Maxi–Min Margin Machine: Learning Large Margin Classifiers Locally and Globally

  2008cited by this paper
• Fast solvers and efficient implementations for distance metric learning

  2008influential reference
• Learning dissimilarities by ranking: from SDP to QP

  2008influential reference
• A new pairwise kernel for biological network inference with support vector machines

  2007influential reference
• Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis

  2007influential reference
• Colored Maximum Variance Unfolding

  2007influential reference
• Generalized Non-metric Multidimensional Scaling

  2007cited by this paper
• Feature Selection and Kernel Design via Linear Programming

  2007cited by this paper
• Learning sparse metrics via linear programming

  2006influential reference
• Information-theoretic metric learning

  2006cited by this paper
• Large Margin Component Analysis

  2006influential reference
• Distance Metric Learning for Large Margin Nearest Neighbor Classification

  2005influential reference
• Learning the Kernel Function via Regularization

  2005cited by this paper
• Smooth minimization of non-smooth functions

  2005cited by this paper
• Learning a Mahalanobis Metric from Equivalence Constraints

  2005influential reference
• Learning a similarity metric discriminatively, with application to face verification

  2005cited by this paper
• Learning classifiers from imbalanced data based on biased minimax probability machine

  2004cited by this paper
• BoostMap: A method for efficient approximate similarity rankings

  2004influential reference
• Neighbourhood Components Analysis

  2004cited by this paper
• The Minimum Error Minimax Probability Machine

  2004cited by this paper
• Learning a Distance Metric from Relative Comparisons

  2003cited by this paper
• The Elements of Statistical Learning

  2003cited by this paper
• Minimal Kernel Classifiers

  2002cited by this paper
• Principal Component Analysis

  2002cited by this paper
• Distance Metric Learning with Application to Clustering with Side-Information

  2002influential reference
• Constrained K-means Clustering with Background Knowledge

  2001cited by this paper
• Nonlinear dimensionality reduction by locally linear embedding.

  2000cited by this paper
• Nearest neighbor pattern classification

  1967cited by this paper

• The Power of Comparisons for Actively Learning Linear Classifiers

  2019cites this paper
• SLMOML: Online Metric Learning With Global Convergence

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

  2018cites this paper
• A review on multitask metric learning

  2018cites this paper
• Learning Colours from Textures by Sparse Manifold Embedding

  2018cites this paper
• Heterogeneous Multitask Metric Learning Across Multiple Domains

  2018cites this paper
• Active Classification with Comparison Queries

  2017cites this paper
• Comparing Clustering with Pairwise and Relative Constraints

  2016cites this paper
• Efficiently and Effectively Learning Models of Similarity from Human Feedback

  2016cites this paper
• Scalable large margin online metric learning

  2016cites this paper
• Metric learning with geometric mean for similarities measurement

  2015cites this paper
• Sparse Online Relative Similarity Learning

  2015cites this paper
• Active Perceptual Similarity Modeling with Auxiliary Information

  2015cites this paper
• Iterated Support Vector Machines for Distance Metric Learning

  2015cites this paper
• A Study of Distance Metric Learning by Considering the Distances between Category Centroids

  2015cites this paper
• Discriminative Clustering with Relative Constraints

  2014cites this paper
• Semantic preserving distance metric learning and applications

  2014cites this paper
• A novel classifier ensemble method with sparsity and diversity

  2014cites this paper
• Low Rank Metric Learning via Accelerated Gradient Optimization

  2014cites this paper
• Recent advances on supervised distance metric learning algorithms

  2014cites this paper
• Scalable sequential alternating proximal methods for sparse structural SVMs and CRFs

  2014cites this paper
• Bagging-like metric learning for support vector regression

  2014cites this paper
• Content-Based Image Retrieval Using Spatial Layout Information in Brain Tumor T1-Weighted Contrast-Enhanced MR Images

  2014cites this paper
• Pairwise ranking component analysis

  2013cites this paper
• A Survey on Metric Learning for Feature Vectors and Structured Data

  2013cites this paper
• Robust Structural Metric Learning

  2013cites this paper
• Robust sparsity-preserved learning with application to image visualization

  2013cites this paper
• Relative Comparison Kernel Learning with Auxiliary Kernels

  2013cites this paper
• A multi-task framework for metric learning with common subspace

  2012cites this paper
• Content-based retrieval of brain tumor in contrast-enhanced MRI images using tumor margin information and learned distance metric.

  2012cites this paper
• Machine Learning Methods for Property Prediction in Chemoinformatics: Quo Vadis?

  2012cites this paper
• Toward structural sparsity: an explicit \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\ell _{2}/\ell _0$$\end{docume

  2012cites this paper
• Geometry preserving multi-task metric learning

  2012cites this paper
• A survey of the state of the art in learning the kernels

  2012cites this paper
• A new integrative data mining framework for analyzing the cancer genome atlas data

  2012cites this paper
• Metric Learning from Relative Comparisons by Minimizing Squared Residual

  2012cites this paper
• Adaptively Learning the Crowd Kernel

  2011cites this paper
• Learning colours from textures by sparse manifold embedding

  2011cites this paper
• Sparse structures : statistical theory and practice , Bristol , June 2010 Abstracts

  2010cites this paper