Partially supervised learning first IAPR TC3 workshop, PSL 2011, Ulm, Germany, September 15-16, 2011 : revised selected papers /
Annotation
| Corporate Authors: | PSL 2011 Ulm, Germany) |
|---|---|
| Other Authors: | PSL 2011, Schwenker, Friedhelm., Trentin, Edmondo., SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin ; New York :
Springer,
©2012.
Berlin ; New York : [2012] |
| Physical Description: |
1 online resource (x, 158 pages) : illustrations. |
| Series: |
Lecture notes in computer science ;
7081. Lecture notes in computer science. Lecture notes in artificial intelligence. LNCS sublibrary. Artificial intelligence. |
| Subjects: |
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| 245 | 1 | 0 | |a Partially supervised learning : |b first IAPR TC3 workshop, PSL 2011, Ulm, Germany, September 15-16, 2011 : revised selected papers / |c Friedhelm Schwenker, Edmondo Trentin (eds.). |
| 246 | 3 | 0 | |a PSL 2011. |
| 260 | |a Berlin ; |a New York : |b Springer, |c ©2012. | ||
| 264 | 1 | |a Berlin ; |a New York : |b Springer, |c [2012] | |
| 264 | 4 | |c ©2012. | |
| 300 | |a 1 online resource (x, 158 pages) : |b illustrations. | ||
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| 490 | 1 | |a Lecture notes in computer science, |x 0302-9743 ; |v 7081. |a Lecture notes in artificial intelligence. | |
| 490 | 1 | |a LNCS sublibrary. SL 7, Artificial intelligence. | |
| 504 | |a Includes bibliographical references and author index. | ||
| 505 | 0 | 0 | |t Unlabeled Data and Multiple Views -- |t Online Semi-supervised Ensemble Updates for fMRI Data -- |t Studying Self- and Active-Training Methods for Multi-feature Set Emotion Recognition -- |t Semi-supervised Linear Discriminant Analysis Using Moment Constraints -- |t Manifold-Regularized Minimax Probability Machine -- |t Supervised and Unsupervised Co-training of Adaptive Activation Functions in Neural Nets -- |t Semi-unsupervised Weighted Maximum-Likelihood Estimation of Joint Densities for the Co-training of Adaptive Activation Functions -- |t Semi-Supervised Kernel Clustering with Sample-to-Cluster Weights -- |t Homeokinetic Reinforcement Learning -- |t Iterative Refinement of HMM and HCRF for Sequence Classification -- |t On the Utility of Partially Labeled Data for Classification of Microarray Data -- |t Multi-instance Methods for Partially Supervised Image Segmentation -- |t Semi-supervised Training Set Adaption to Unknown Countries for Traffic Sign Classifiers -- |t Comparison of Combined Probabilistic Connectionist Models in a Forensic Application -- |t Classification of Emotional States in a Woz Scenario Exploiting Labeled and Unlabeled Bio-physiological Data -- |t Using Self Organizing Maps to Find Good Comparison Universities -- |t Sink Web Pages in Web Application. |
| 520 | 8 | |a Annotation |b This book constitutes thoroughly refereed revised selected papers from the First IAPR TC3 Workshop on Partially Supervised Learning, PSL 2011, held in Ulm, Germany, in September 2011. The 14 papers presented in this volume were carefully reviewed and selected for inclusion in the book, which also includes 3 invited talks. PSL 2011 dealt with methodological issues as well as real-world applications of PSL. The main methodological issues were: combination of supervised and unsupervised learning; diffusion learning; semi-supervised classification, regression, and clustering; learning with deep architectures; active learning; PSL with vague, fuzzy, or uncertain teaching signals; learning, or statistical pattern recognition; and PSL in cognitive systems. Applications of PSL included: image and signal processing; multi-modal information processing; sensor/information fusion; human computer interaction; data mining and Web mining; forensic anthropology; and bioinformatics. | |
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| 655 | 7 | |a Conference papers and proceedings. |2 lcgft. | |
| 700 | 1 | |a Schwenker, Friedhelm. | |
| 700 | 1 | |a Trentin, Edmondo. | |
| 710 | 2 | |a SpringerLink (Online service) | |
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