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Feature Selection: A literature Review

Vipin Kumar
2014 The Smart Computing Review  
knowing the information of each algorithm.  ...  We conclude this work with real world applications, challenges, and future research directions of feature selection.  ...  The evaluation criteria are used for getting an optimal feature subset.  ... 
doi:10.6029/smartcr.2014.03.007 fatcat:nczq7fx5tnfcpa3ekgiqpusv4a

A Novel Image Retrieval Method with Improved DCNN and Hash

Yan Zhou, Lili Pan, Rongyu Chen, Weizhi Shao
2020 Journal of Information Hiding and Privacy Protection  
Secondly, the information gain rate method is used to filter the extracted deep features to reduce the feature dimension and ensure the information loss is small.  ...  However, the deep feature dimensions obtained by Deep Convolutional Neural Network (DCNN) are too high and redundant, which leads to low retrieval efficiency.  ...  As thus, for image retrieval of similar objects, invariant local features with excellent anti-interference performance are usually selected, such as SIFT (Scale-Invariant Feature Transform) [4] .  ... 
doi:10.32604/jihpp.2020.010486 fatcat:qgja7jefynavfl4zhufhut6dym

Remote Sensing Cross-Modal Text-Image Retrieval Based on Global and Local Information

Zhiqiang Yuan, Wenkai Zhang, Changyuan Tian, Xuee Rong, Zhengyuan Zhang, Hongqi Wang, Kun Fu, Xian Sun
2022 IEEE Transactions on Geoscience and Remote Sensing  
DREA not only filters out redundant features with high similarity, but also obtains more powerful local features by enhancing the features of prominent objects.  ...  MIDF leverages local information to correct global information, utilizes global information to supplement local information, and uses the dynamic addition of the two to generate prominent visual representation  ...  DREA filters out redundant features with high similarity and enhances the features of salient targets, which can obtain more powerful local features and thus improving the retrieval efficiency.  ... 
doi:10.1109/tgrs.2022.3163706 fatcat:ykp6c4gp6rhtzo4ga7sxezndy4

AViTExt: Automatic Video Text Extraction; A new Approach for video content indexing Application

Baseem Bouaziz, Tarek Zlitni, Walid Mahdi
2008 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications  
The temporal redundancy is then used to filter these regions and forms an effective text region.  ...  In this paper, we propose a spatial temporal video-text detection technique which proceed in two principal steps: potential text region detection and a filtering process.  ...  For that we use two criteria: The first measures locally the contrast of an object with the background and the second evaluate the persistence of the objects in a temporal window. A.  ... 
doi:10.1109/ictta.2008.4530004 fatcat:qj7ngun5y5ahte5ewc7q4nompq

AViTExt: Automatic Video Text Extraction, A new Approach for video content indexing Application [article]

Baseem Bouaziz, Tarek Zlitni, Walid Mahdi
2013 arXiv   pre-print
The temporal redundancy is then used to filter these regions and forms an effective text region.  ...  In this paper, we propose a spatial temporal video-text detection technique which proceed in two principal steps:potential text region detection and a filtering process.  ...  For that we use two criteria: The first measures locally the contrast of an object with the background and the second evaluate the persistence of the objects in a temporal window. A.  ... 
arXiv:1301.2173v1 fatcat:oy2fmo4k4vhyzh7pgp3jnpvota

Optimization Algorithms to Solve Feature Selection Problem: A Review

Laith Abualigah
2019 International Journal of Science and Applied Information Technology  
The model that used the informative subset such that a classification model built only with this subset would get better predictive accuracy than the model that used a complete set of features.  ...  The goal is to provide a general presentation to variant optimization algorithms that can be applied to a wide array of machine learning problems. We converge on Filter, Wrapper and Embedded methods.  ...  retrieval, data analysis, and data mining applications. [3] Utilized impressive classification results with classifier alone; during the method does well for a dataset which does not have many features  ... 
doi:10.30534/ijsait/2019/098620198 fatcat:yhu7zyofljgelb3ocaxy2kcd2a

Progressive Local Filter Pruning for Image Retrieval Acceleration [article]

Xiaodong Wang, Zhedong Zheng, Yang He, Fei Yan, Zhiqiang Zeng, Yi Yang
2020 arXiv   pre-print
To solve the problem, we propose a new Progressive Local Filter Pruning (PLFP) method for image retrieval acceleration.  ...  The proposed method arrives with superior performance to the conventional pruning methods, suggesting the effectiveness of the proposed method for image retrieval.  ...  We intend to find redundant filters according to the mutual information.  ... 
arXiv:2001.08878v1 fatcat:52w2tkuxgzbfrckzdv4nshzp6a

Feature Selection And Its Use In Big Data: Challenges, Methods, and Trends

Miao Rong, Dunwei Gong, X.Z. Gao
2019 IEEE Access  
Feature selection has been an important research area in data mining, which chooses a subset of relevant features for use in the model building.  ...  First, it discusses the current challenges and difficulties faced when mining valuable information from big data.  ...  In contrast, for those unsupervised feature selection methods, the clustering validity criteria, information theoretical criteria, and feature similarity criteria are now widely seen [47] - [49] .  ... 
doi:10.1109/access.2019.2894366 fatcat:c7t47lki45bb3fs2btvnydcbaq

A Survey on Feature Selection Techniques and Classification Algorithms for Efficient Text Classification

2016 International Journal of Science and Research (IJSR)  
With the high availability of information from diverse sources, the task of automatic categorization of documents has become a vital method for managing, organizing vast amount of information and knowledge  ...  Feature selection (FS) is a strategy that aims at making text document classifiers more efficient and accurate.  ...  Mutual Information Information theoretic ranking criteria [ ] uses the measure of dependency between two variables.  ... 
doi:10.21275/v5i5.nov163675 fatcat:t3kxmb3kujgovoq4kh4os7oore

Addressing the biomedical informatics needs of a microarray laboratory in a clinical microbiology context

Guillermo Lopez-Campos, Victoria Lopez Alonso, Fernando Martin-Sanchez
2008 Studies in Health Technology and Informatics  
imposed by the routine clinical work of the National Centre of Microbiology, a reference laboratory for the Spanish Health System.  ...  In this communication we briefly present the state-of-the-art in the application of biomedical informatics to laboratories conducting microarray experiments and how our unit is coping with these requirements  ...  Specificity of the designed oligonucleotides has to be checked with BLAST (Basic Local Alignment Search Tool) [12] and smart filtering techniques, which are employed to avoid redundant computation while  ... 
pmid:18487706 fatcat:yn7i6yqyqnawvk3cspqghkyn3e

Multiple kernel active learning for image classification

Jingjing Yang, Yuanning Li, Yonghong Tian, Lingyu Duan, Wen Gao
2009 2009 IEEE International Conference on Multimedia and Expo  
LA-AL adopts a top-down (or global-local) strategy for locating and searching informative samples.  ...  In this paper, we propose a local adaptive active learning (LA-AL) method to reduce the labeling and computational cost by selecting the most informative training samples.  ...  For efficiency, compared with MKL using randomly sampling, the proposed method not only achieves higher performance, but also keeps comparable performance with less training samples and lower computation  ... 
doi:10.1109/icme.2009.5202555 dblp:conf/icmcs/YangLTDG09 fatcat:uosvk3z63fal3asz4dpmkzdulm

Hierarchical Geometry Verification via Maximum Entropy Saliency in Image Retrieval

Hongwei Zhao, Qingliang Li, Pingping Liu
2014 Entropy  
We propose a new geometric verification method in image retrieval-Hierarchical Geometry Verification via Maximum Entropy Saliency (HGV)-which aims at filtering the redundant matches and remaining the information  ...  The tags added to the feature descriptors are used to compute the saliency matching score, and the scores are regarded as the weight information in the geometry verification step.  ...  We also acknowledge Zhimeng Nong who validated the experiment results of all the retrieval methods.  ... 
doi:10.3390/e16073848 fatcat:7yctov6psjbrviu5ctzx3t6w7e

Survey on Feature Selection for Data Reduction

R. K.Bania
2014 International Journal of Computer Applications  
Based on the training data used for different applications of knowledge discovery, FS technique falls into supervised, unsupervised.  ...  Feature selection (FS) is one of the well known data reduction techniques, which deals with the reduction of attributes from the original data without affecting the main information content.  ...  The advantages of using this method are that it is faster and tries to output optimal results. Filter approaches are generally employed where redundancy/irrelevance removal is the aim.  ... 
doi:10.5120/16456-2390 fatcat:zarewxjcajbilnpyiupkoqiccy

Seed Based Method for Identifying Efficient Online Reviews using Micro-reviews

Jananee. M, Devi Selvam.
2016 International Journal of Advanced Research  
The main focus of our work is that the customer/users need not manually read all the large volume of redundant and non-informative reviews for identifying the required useful set of reviews.  ...  The bogus and the redundant reviews must be filtered before displaying it to the users. Epinions.com and Amazon.com are some of the examples of review website.  ...  It also proposes an efficient heuristic algorithm that approximates the optimal solution. 1 Principle of information retrieval: - A.  ... 
doi:10.21474/ijar01/769 fatcat:u3htvupjanhpfafr6cppciv5kq

Towards Practical and Robust DNA-based Data Archiving by Codec System Named 'Yin-Yang' [article]

Zhi Ping, Shihong Chen, Xiaoluo Huang, Sha Zhu, Chen Chai, Haoling Zhang, Henry H Lee, Guangyu Zhou, Tsan-Yu Chiu, Tai Chen, Huanming Yang, Xun Xu (+2 others)
2019 bioRxiv   pre-print
We demonstrate successful retrieval of 2.02 Megabits /3 files using this method. The original information was fully retrieved after sequencing and decoding.  ...  Motivation: DNA has been reported as a promising medium of data storage for its remarkable durability and space-efficient storage capacity.  ...  Furthermore, a procedure called 'validity-screening' helps to filter the DNA sequences which do not meet the criteria (Fig. 2B, Supplementary information Fig. S2 ).  ... 
doi:10.1101/829721 fatcat:jhphe44ncrh5bij43ulgoiq5na
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