discriminant information Latest Research Papers

Consensus kernel subspace clustering based on coefficient discriminant information

Applied Soft Computing ◽

10.1016/j.asoc.2021.107987 ◽

2021 ◽

pp. 107987

Author(s):

Zhongyuan Wang ◽

Jinglei Liu

Keyword(s):

Subspace Clustering ◽

Discriminant Information

A new deep auto-encoder method with fusing discriminant information for bearing fault diagnosis

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2020.107233 ◽

2021 ◽

Vol 150 ◽

pp. 107233

Author(s):

Wentao Mao ◽

Wushi Feng ◽

Yamin Liu ◽

Di Zhang ◽

Xihui Liang

Keyword(s):

Fault Diagnosis ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Discriminant Information

A Discriminant Information Approach to Deep Neural Network Pruning

2020 25th International Conference on Pattern Recognition (ICPR) ◽

10.1109/icpr48806.2021.9412693 ◽

2021 ◽

Author(s):

Zejiang Hou ◽

Sun-Yuan Kung

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Information Approach ◽

Network Pruning ◽

Discriminant Information

Joint Dynamic Manifold and Discriminant Information Learning for Feature Extraction

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2021.3107912 ◽

2021 ◽

pp. 1-14

Author(s):

Xiaowei Zhao ◽

Feiping Nie ◽

Rong Wang ◽

Xuelong Li

Keyword(s):

Feature Extraction ◽

Discriminant Information

Robust principal component analysis based on discriminant information.

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2021.3093447 ◽

2021 ◽

pp. 1-1

Author(s):

Yunlong Gao ◽

Tingting Lin ◽

Yisong Zhang ◽

Sizhe Luo ◽

Feiping Nie

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Robust Principal Component Analysis ◽

Discriminant Information

A novel intuitionistic Renyi’s–Tsallis discriminant information measure and its applications in decision-making

Granular Computing ◽

10.1007/s41066-020-00237-z ◽

2020 ◽

Author(s):

Ratika Kadian ◽

Satish Kumar

Keyword(s):

Decision Making ◽

Information Measure ◽

Discriminant Information

Large‐Sample Properties of Minimum Discriminant Information Adjustment Estimates Under Complex Sampling Designs

ETS Research Report Series ◽

10.1002/ets2.12297 ◽

2020 ◽

Vol 2020 (1) ◽

pp. 1-20

Author(s):

Lili Yao ◽

Shelby Haberman ◽

Daniel F. McCaffrey ◽

J. R. Lockwood

Keyword(s):

Large Sample ◽

Complex Sampling ◽

Complex Sampling Designs ◽

Discriminant Information

Scalable Kernel Learning Via the Discriminant Information

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp40776.2020.9053142 ◽

2020 ◽

Author(s):

Mert Al ◽

Zejiang Hou ◽

Sun-Yuan Kung

Keyword(s):

Kernel Learning ◽

Discriminant Information

A Kernel Discriminant Information Approach to Non-linear Feature Selection

2019 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2019.8852186 ◽

2019 ◽

Author(s):

Zejiang Hou ◽

S. Y. Kung

Keyword(s):

Feature Selection ◽

Information Approach ◽

Linear Feature ◽

Non Linear ◽

Discriminant Information

Use of Adjustment by Minimum Discriminant Information in Linking Constructed‐Response Test Scores in the Absence of Common Items

Journal of Educational Measurement ◽

10.1111/jedm.12216 ◽

2019 ◽

Vol 56 (2) ◽

pp. 452-472 ◽

Cited By ~ 3

Author(s):

Yi‐Hsuan Lee ◽

Shelby J. Haberman ◽

Neil J. Dorans

Keyword(s):

Test Scores ◽

Constructed Response ◽

Response Test ◽

Common Items ◽

Discriminant Information

discriminant information
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

Consensus kernel subspace clustering based on coefficient discriminant information

A new deep auto-encoder method with fusing discriminant information for bearing fault diagnosis

A Discriminant Information Approach to Deep Neural Network Pruning

Joint Dynamic Manifold and Discriminant Information Learning for Feature Extraction

Robust principal component analysis based on discriminant information.

A novel intuitionistic Renyi’s–Tsallis discriminant information measure and its applications in decision-making

Large‐Sample Properties of Minimum Discriminant Information Adjustment Estimates Under Complex Sampling Designs

Scalable Kernel Learning Via the Discriminant Information

A Kernel Discriminant Information Approach to Non-linear Feature Selection

Use of Adjustment by Minimum Discriminant Information in Linking Constructed‐Response Test Scores in the Absence of Common Items

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discriminant informationRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

Consensus kernel subspace clustering based on coefficient discriminant information

A new deep auto-encoder method with fusing discriminant information for bearing fault diagnosis

A Discriminant Information Approach to Deep Neural Network Pruning

Joint Dynamic Manifold and Discriminant Information Learning for Feature Extraction

Robust principal component analysis based on discriminant information.

A novel intuitionistic Renyi’s–Tsallis discriminant information measure and its applications in decision-making

Large‐Sample Properties of Minimum Discriminant Information Adjustment Estimates Under Complex Sampling Designs

Scalable Kernel Learning Via the Discriminant Information

A Kernel Discriminant Information Approach to Non-linear Feature Selection

Use of Adjustment by Minimum Discriminant Information in Linking Constructed‐Response Test Scores in the Absence of Common Items

discriminant information
Recently Published Documents