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ORCIDPattern Recognition Letters, Volume 37
Volume 37, February 2014
- Friedhelm Schwenker, Edmondo Trentin:
Partially supervised learning for pattern recognition. 1-3
- Friedhelm Schwenker, Edmondo Trentin:
Pattern classification and clustering: A review of partially supervised learning approaches. 4-14
- Ludwig Lausser, Florian Schmid, Matthias Schmid
, Hans A. Kestler:
Unlabeling data can improve classification accuracy. 15-23 - Marco Loog:
Semi-supervised linear discriminant analysis through moment-constraint parameter estimation. 24-31 - Jixu Chen, Xiaoming Liu:
Transfer learning with one-class data. 32-40 - Zehra Cataltepe, Abdullah Sonmez, Baris Senliol:
Feature enrichment and selection for transductive classification on networked data. 41-53 - Timothy J. Zeyl, Tom Chau:
A case study of linear classifiers adapted using imperfect labels derived from human event-related potentials. 54-62 - Jafar Tanha, Maarten van Someren, Hamideh Afsarmanesh:
Boosting for multiclass semi-supervised learning. 63-77
- Stefan Faußer, Friedhelm Schwenker:
Semi-supervised clustering of large data sets with kernel methods. 78-84 - Yingwei Yu, Ricardo Gutierrez-Osuna, Yoonsuck Choe:
Context-sensitive intra-class clustering. 85-93 - Hien Phuong Lai, Muriel Visani, Alain Boucher, Jean-Marc Ogier:
A new interactive semi-supervised clustering model for large image database indexing. 94-106 - Yuanli Pei, Xiaoli Z. Fern:
Constrained instance clustering in multi-instance multi-label learning. 107-114 - Steven R. Young, Andrew S. Davis, Aaron Mishtal, Itamar Arel:
Hierarchical spatiotemporal feature extraction using recurrent online clustering. 115-123
- Jesús González-Rubio, Francisco Casacuberta:
Cost-sensitive active learning for computer-assisted translation. 124-134 - Nicolás Serrano, Jorge Civera, Alberto Sanchís, Alfons Juan:
Effective balancing error and user effort in interactive handwriting recognition. 135-142
- Gaole Jin, Raviv Raich:
Hinge loss bound approach for surrogate supervision multi-view learning. 143-150 - Luca Didaci, Gian Luca Marcialis, Fabio Roli:
Analysis of unsupervised template update in biometric recognition systems. 151-160 - Yann Soullard, Martin Saveski, Thierry Artières:
Joint semi-supervised learning of Hidden Conditional Random Fields and Hidden Markov Models. 161-171 - Catrin Oliver Plumpton:
Semi-supervised ensemble update strategies for on-line classification of fMRI data. 172-177
- Ilaria Castelli, Edmondo Trentin:
Combination of supervised and unsupervised learning for training the activation functions of neural networks. 178-191 - Kazuki Yoshiyama, Akito Sakurai:
Laplacian minimax probability machine. 192-200 - Fantine Mordelet, Jean-Philippe Vert:
A bagging SVM to learn from positive and unlabeled examples. 201-209 - Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella:
Unlabeled patterns to tighten Rademacher complexity error bounds for kernel classifiers. 210-219
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