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Semi-Supervised Maximum Margin Clustering with Pairwise Constraints

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Adjustment Learning and Relevant Component Analysis
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OHSUMED: An Interactive Retrieval Evaluation and New Large Test Collection for Research
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Improving Classification with Pairwise Constraints: A Margin-Based Approach
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Convex Optimization
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Learning Distance Metrics with Contextual Constraints for Image Retrieval
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Constrained spectral clustering through affinity propagation
inferredcites →https://doi.org/10.1109/icdm.2008.65openalex-snapshot
Maximum Margin Clustering with Pairwise Constraints
inferredcites →https://doi.org/10.1109/tkde.2007.190715openalex-snapshot
Semisupervised Clustering with Metric Learning using Relative Comparisons
inferredcites →https://doi.org/10.1109/tnn.2008.2010620openalex-snapshot
Maximum Margin Clustering Made Practical
inferredcites →https://doi.org/10.1109/tpami.2006.65openalex-snapshot
A discriminative learning framework with pairwise constraints for video object classification
inferredcites →https://doi.org/10.1137/1.9781611972757.77openalex-snapshot
Model-based Clustering With Probabilistic Constraints
inferredcites →https://doi.org/10.1137/1.9781611972764.22openalex-snapshot
Joint Cluster Analysis of Attribute Data and Relationship Data: the Connected k -Center Problem
inferredcites →https://doi.org/10.1145/1014052.1014062openalex-snapshot
A probabilistic framework for semi-supervised clustering
inferredcites →https://doi.org/10.1145/1015330.1015360openalex-snapshot
Integrating constraints and metric learning in semi-supervised clustering
inferredcites →https://doi.org/10.1145/1102351.1102409openalex-snapshot
Semi-supervised graph clustering
inferredcites →https://doi.org/10.1145/1150402.1150429openalex-snapshot
Training linear SVMs in linear time
inferredcites →https://doi.org/10.1145/1273496.1273542openalex-snapshot
Learning nonparametric kernel matrices from pairwise constraints
inferredcites →https://doi.org/10.1145/1273496.1273598openalex-snapshot
Pegasos
inferredcites →https://doi.org/10.1145/1273496.1273637openalex-snapshot
Maximum margin clustering made practical
inferredcites →https://doi.org/10.1145/1273496.1273645openalex-snapshot
Transductive support vector machines for structured variables
inferredcites →https://doi.org/10.1145/1390156.1390213openalex-snapshot
Large scale manifold transduction
inferredcites →https://doi.org/10.1145/1390156.1390313openalex-snapshot
Efficient multiclass maximum margin clustering
inferredcites →https://doi.org/10.1162/08997660360581958openalex-snapshot
The Concave-Convex Procedure
inferredcites →https://doi.org/10.1162/153244303321897735openalex-snapshot
10.1162/153244303321897735
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On the algorithmic implementation of multiclass kernel-based vector machines
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0182openalex-snapshot
Generalized Maximum Margin Clustering and Unsupervised Kernel Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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