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ACM Computing Surveys (CSUR), ISSN 0360-0300, 01/2018, Volume 50, Issue 6, pp. 1 - 45
Feature selection, as a data preprocessing strategy, has been proven to be effective and efficient in preparing data (especially high-dimensional data) for... 
Feature selection | SPARSITY | REGRESSION | DIMENSIONAL FEATURE-SELECTION | NETWORK | MUTUAL INFORMATION | THEORETIC FEATURE-SELECTION | BIG DATA | GROUP LASSO | CLASSIFICATION | COMPUTER SCIENCE, THEORY & METHODS | ONLINE FEATURE-SELECTION | Computer Science - Learning
Journal Article
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 04/2010, Volume 11, pp. 1491 - 1516
Identifying a subset of features that preserves classification accuracy is a problem of growing importance, because of the increasing size and dimensionality... 
High-dimensional data | Nyström method | Feature selection | Quadratic programming | Large data set | Nystrom method | RECOGNITION | high-dimensional data | large data set | quadratic programming | PROSTHESIS | feature selection | REAL-TIME CLASSIFICATION | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Electronics Letters, ISSN 0013-5194, 4/2016, Volume 52, Issue 9, pp. 677 - 677
Journal Article
IEEE Transactions on Circuits and Systems for Video Technology, ISSN 1051-8215, 04/2013, Volume 23, Issue 4, pp. 729 - 734
Keyframe selection has been crucial for effective and efficient video content analysis. While most of the existing approaches represent individual frames with... 
keyframe selection | local features | Visualization | Redundancy | Boats | Clustering algorithms | Interest point | keypoint | video representation | Computational efficiency | Noise measurement | video summarization | ENGINEERING, ELECTRICAL & ELECTRONIC | Cluster analysis | Signal processing | Usage | Image processing | Innovations | Matching | Frames | State of the art | Circuits | Criteria | Content analysis
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 05/2012, Volume 13, pp. 1393 - 1434
Journal Article
Pattern Recognition, ISSN 0031-3203, 05/2015, Volume 48, Issue 5, pp. 1827 - 1835
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2010, Volume 36, Issue 11, pp. 1 - 13
This article describes a R package Boruta, implementing a novel feature selection algorithm for finding all relevant variables. The algorithm is designed as a... 
Feature ranking | Feature selection | Random forest | feature ranking | STATISTICS & PROBABILITY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | random forest | feature selection
Journal Article
Pattern Recognition, ISSN 0031-3203, 02/2015, Volume 48, Issue 2, pp. 438 - 446
By removing the irrelevant and redundant features, feature selection aims to find a compact representation of the original feature with good generalization... 
Group sparsity | Sparse representation | Unsupervised feature selection | Self-representation | ALGORITHM | SIMILARITY | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Computer science | Analysis
Journal Article
Information Sciences, ISSN 0020-0255, 06/2019, Volume 485, pp. 42 - 54
In state-of-the-art big-data applications, the process of building machine learning models can be very challenging due to continuous changes in data structures... 
Intrinsic motivation learning | Data science | Curiosity loop | Feature selection | Big data | Reinforcement learning | EXPLORATION | COMPUTER SCIENCE, INFORMATION SYSTEMS | Algorithms | Analysis | Machine learning
Journal Article
IEEE Transactions on Circuits and Systems for Video Technology, ISSN 1051-8215, 02/2019, Volume 29, Issue 2, pp. 336 - 350
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 08/2004, Volume 5, pp. 845 - 889
Journal Article
Journal Article