Proposing a new method of image classification based on the AdaBoost deep belief network hybrid method

TELKOMNIKA (Telecommunication Computing Electronics and Control) ◽

10.12928/telkomnika.v17i5.11797 ◽

2019 ◽

Vol 17 (5) ◽

pp. 2650

Author(s):

Jamshid Bagherzadeh ◽

Hasan Asil

Keyword(s):

Image Classification ◽

Hybrid Method ◽

Deep Belief Network ◽

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A new method of power quality disturbance classification based on deep belief network

Journal of Physics Conference Series ◽

10.1088/1742-6596/1827/1/012021 ◽

2021 ◽

Vol 1827 (1) ◽

pp. 012021

Author(s):

Kang Wang ◽

Yanhui Xi

Keyword(s):

Power Quality ◽

Deep Belief Network ◽

Belief Network ◽

Power Quality Disturbance

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Discriminant deep belief network for high-resolution SAR image classification

Pattern Recognition ◽

10.1016/j.patcog.2016.05.028 ◽

2017 ◽

Vol 61 ◽

pp. 686-701 ◽

Author(s):

Zhiqiang Zhao ◽

Licheng Jiao ◽

Jiaqi Zhao ◽

Jing Gu ◽

Jin Zhao

Keyword(s):

High Resolution ◽

Image Classification ◽

Deep Belief Network ◽

Sar Image ◽

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A new method for enhancer prediction based on deep belief network

BMC Bioinformatics ◽

10.1186/s12859-017-1828-0 ◽

2017 ◽

Vol 18 (S12) ◽

Author(s):

Hongda Bu ◽

Yanglan Gan ◽

Yang Wang ◽

Shuigeng Zhou ◽

Jihong Guan

Keyword(s):

Deep Belief Network ◽

Belief Network ◽

Enhancer Prediction

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Polarimetrie SAR image classification based on deep belief network and superpixel segmentation

2017 3rd International Conference on Frontiers of Signal Processing (ICFSP) ◽

10.1109/icfsp.2017.8097153 ◽

2017 ◽

Author(s):

Shaojia Ge ◽

Jianchun Lu ◽

Hong Gu ◽

Zeshi Yuan ◽

Weimin Su

Keyword(s):

Image Classification ◽

Deep Belief Network ◽

Sar Image ◽

Belief Network ◽

Superpixel Segmentation

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Aerial image classification based on sparse representation and deep belief network

2016 35th Chinese Control Conference (CCC) ◽

10.1109/chicc.2016.7553894 ◽

2016 ◽

Author(s):

Tao Shi ◽

Chunlei Zhang ◽

Hongge Ren ◽

Fujin Li ◽

Weiniin Liu

Keyword(s):

Sparse Representation ◽

Image Classification ◽

Deep Belief Network ◽

Aerial Image ◽

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Image classification algorithm based on multi — Feature fusion and deep belief network

2017 4th International Conference on Systems and Informatics (ICSAI) ◽

10.1109/icsai.2017.8248398 ◽

2017 ◽

Author(s):

Yanxue Dong

Keyword(s):

Image Classification ◽

Feature Fusion ◽

Classification Algorithm ◽

Deep Belief Network ◽

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Image Classification Based on Deep Belief Network and YELM

Intelligent Computing Theories and Application - Lecture Notes in Computer Science ◽

10.1007/978-3-030-60799-9_13 ◽

2020 ◽

pp. 150-159

Author(s):

ChengYong Zhang ◽

Zhengwei Li ◽

Ru Nie ◽

Lei Wang ◽

Huan Zhao

Keyword(s):

Image Classification ◽

Deep Belief Network ◽

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Application of alternating deep belief network in image classification

2016 Chinese Control and Decision Conference (CCDC) ◽

10.1109/ccdc.2016.7531284 ◽

2016 ◽

Author(s):

Tao Shi ◽

Chunlei Zhang ◽

Fujin Li ◽

Weimin Liu ◽

Meijie Huo

Keyword(s):

Image Classification ◽

Deep Belief Network ◽

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Multi feature fusion using deep belief network for automatic pap-smear cell image classification

2017 International Conference on Computer, Control, Informatics and its Applications (IC3INA) ◽

10.1109/ic3ina.2017.8251733 ◽

2017 ◽

Author(s):

Moh. Faturrahman ◽

Ito Wasito ◽

Ratna Mufidah ◽

Fakhirah Dianah Ghaisani

Keyword(s):

Image Classification ◽

Pap Smear ◽

Feature Fusion ◽

Deep Belief Network ◽

Belief Network ◽

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Efficient Deep Belief Network Based Hyperspectral Image Classification

Lecture Notes in Computer Science - Image and Graphics ◽

10.1007/978-3-319-71598-8_31 ◽

2017 ◽

pp. 347-357 ◽

Author(s):

Atif Mughees ◽

Linmi Tao

Keyword(s):

Image Classification ◽

Hyperspectral Image ◽

Deep Belief Network ◽

Hyperspectral Image Classification ◽

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