6 Hits in 6.3 sec

Information-Theoretic Dictionary Learning for Image Classification

Qiang Qiu, Vishal M. Patel, Rama Chellappa
2014 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Experiments using real datasets demonstrate the effectiveness of our approach for image classification tasks.  ...  In the second stage, the selected dictionary atoms are updated for improved reconstructive and discriminative power using a simple gradient ascent algorithm on mutual information.  ...  In the late nineties, Etemand and Chellappa proposed a linear discriminant analysis (LDA) based basis selection and feature extraction algorithm for classification using wavelet packets [11] .  ... 
doi:10.1109/tpami.2014.2316824 pmid:26353059 fatcat:pvqesv7elzag7lu7d7p5tvdupu

Unit commitment considering multiple charging and discharging scenarios of plug-in electric vehicles

Zhile Yang, Kang Li, Qun Niu, Aoife Foley
2015 2015 International Joint Conference on Neural Networks (IJCNN)  
Toiviainen and Tapani Ristaniemi P401 Scalable Real-time Parking Lot Classification: An Evaluation of Image Features and Supervised Learning Algo- rithms [#15050] Marc Tschentscher, Christian Koch,  ...  Lianghua He P148 Group Feature Selection in Image Classification with Multiple Kernel Learning [#15518] Zheng Cao, Jose Principe and Bing Ouyang P149 Parallel Training of Convolutional Neural Networks  ... 
doi:10.1109/ijcnn.2015.7280446 dblp:conf/ijcnn/YangLNF15 fatcat:6xlakikcfzfyhhm2spooe2j7ra

2020 Index IEEE Transactions on Neural Networks and Learning Systems Vol. 31

2020 IEEE Transactions on Neural Networks and Learning Systems  
Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  ., +, TNNLS Feb. 2020 661-674 SRSC: Selective, Robust, and Supervised Constrained Feature Representation for Image Classification.  ... 
doi:10.1109/tnnls.2020.3045307 fatcat:34qoykdtarewhdscxqj5jvovqy

Sparse Representation Based Fisher Discrimination Dictionary Learning for Image Classification

Meng Yang, Lei Zhang, Xiangchu Feng, David Zhang
2014 International Journal of Computer Vision  
results in image classification tasks.  ...  The employed dictionary plays an important role in sparse representation or sparse coding based image reconstruction and classification, while learning dictionaries from the training data has led to state-of-the-art  ...  We adopted the experiment setting in supervised/unsupervised sparse coding (S-SC/U-SC) , misalignment-robust representation (MRR) (Yang et al. 2012) , and robust alignment and illumination by sparse representation  ... 
doi:10.1007/s11263-014-0722-8 fatcat:n75mmp5jdfajrg3obbaxmck7ci

17th Quadrennial Meeting of the World Society for Stereotactic and Functional Neurosurgery. Berlin, Germany, June 26-29, 2017: Abstracts

2017 Stereotactic and Functional Neurosurgery  
Methods: SRSC Lesions were traced on T1 scans in 30 OCD patients, and transformed to standard imaging space.  ...  The equation for steady currents was solved with electric conductivities estimated from tissue classification into grey matter, white matter and cerebrospinal fluid in T1-weighted preoperative images.  ...  This study highlights the role of unique structural changes in TN and structural brain imaging towards a more objective definition of neuropathic pain disorders.  ... 
doi:10.1159/000478281 pmid:28641280 fatcat:ivcbjloukfgiriry65t37fccm4

The geoattributed entity extraction technology for visual representation of objects spatial relations based on automated schematic map generation
Технология извлечения геоатрибутированных сущностей для визуального представления пространственной связности объектов на основе автоматизированной генерации картосхем

Alexander V. Vicentiy, Institute for Informatics and Mathematical Modeling Kola Science Centre of the Russian Academy of Sciences, Maxim G. Shishaev, Institute for Informatics and Mathematical Modeling Kola Science Centre of the Russian Academy of Sciences
2021 №4 (2018)  
These are the neural network approach, the rule-based approach and the approach based on the use of lexico-syntactic patterns for the analysis of natural language texts.  ...  For visualization we use the technology of automated generation of schematic maps as subject-oriented components of geographic information systems.  ...  Analysis of images, networks and texts. Models, algorithms and data analysis tools; results and capabilities for the analysis of images, networks and texts"].  ... 
doi:10.37614/2307-5252.2021.5.12.003 fatcat:eozujqhyefftpnk7hwpocnfema