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Takio Kurita

Showing results (1-10 of 18) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|September 10, 2015
Mixture of Subspaces Image Representation and Compact Coding for Large-Scale Image RetrievalTakashi Takahashi, Takio Kurita
Neural Networks : the Official Journal of the International Neural Network Society|June 7, 2005
A robust classifier combined with an auto-associative network for completing partly occluded imagesTakashi Takahashi, Takio Kurita
Bio Systems|January 5, 2010
An evolutionary approach for gene selection and classification of microarray data based on SVM error-bound theoriesRameswar Debnath, Takio Kurita
Plos One|March 8, 2012
Automatic analysis of composite physical signals using non-negative factorization and information criterionKenji Watanabe, Akinori Hidaka, Nobuyuki Otsu, et al.
Methods (San Diego, Calif.)|April 29, 2023
Convolutional autoencoder based on latent subspace projection for anomaly detectionQien Yu, Chen Li, Ye Zhu, et al.
Computers in Biology and Medicine|February 7, 2018
Critical texture pattern feature assessment for characterizing colonies of induced pluripotent stem cells through machine learning techniquesMuthu Subash Kavitha, Takio Kurita, Byeong-Cheol Ahn
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Multi-scale Feature Learning with CNN-RNN-Attention Framework for ECG-based Cancer Therapy-Related Cardiac Dysfunction DetectionNatsu Suyama, Akira Furui, Takio Kurita, et al.
Scientific Reports|February 16, 2020
Prediction of Sequential Organelles Localization under Imbalance using A Balanced Deep U-NetNovanto Yudistira, Muthusubash Kavitha, Takeshi Itabashi, et al.
BMC Medical Imaging|January 18, 2012
Diagnosis of osteoporosis from dental panoramic radiographs using the support vector machine method in a computer-aided systemM S Kavitha, Akira Asano, Akira Taguchi, et al.
Scientific Reports|May 10, 2020
Deep learning enables automated localization of the metastatic lymph node for thyroid cancer on <sup>131</sup>I post-ablation whole-body planar scansMuthuSubash Kavitha, Chang-Hee Lee, KattakkaliSubhashdas Shibudas, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 10, 2015
Mixture of Subspaces Image Representation and Compact Coding for Large-Scale Image RetrievalTakashi Takahashi, Takio Kurita
Neural Networks : the Official Journal of the International Neural Network Society|June 7, 2005
A robust classifier combined with an auto-associative network for completing partly occluded imagesTakashi Takahashi, Takio Kurita
Bio Systems|January 5, 2010
An evolutionary approach for gene selection and classification of microarray data based on SVM error-bound theoriesRameswar Debnath, Takio Kurita
Plos One|March 8, 2012
Automatic analysis of composite physical signals using non-negative factorization and information criterionKenji Watanabe, Akinori Hidaka, Nobuyuki Otsu, et al.
Methods (San Diego, Calif.)|April 29, 2023
Convolutional autoencoder based on latent subspace projection for anomaly detectionQien Yu, Chen Li, Ye Zhu, et al.
Computers in Biology and Medicine|February 7, 2018
Critical texture pattern feature assessment for characterizing colonies of induced pluripotent stem cells through machine learning techniquesMuthu Subash Kavitha, Takio Kurita, Byeong-Cheol Ahn
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Multi-scale Feature Learning with CNN-RNN-Attention Framework for ECG-based Cancer Therapy-Related Cardiac Dysfunction DetectionNatsu Suyama, Akira Furui, Takio Kurita, et al.
Scientific Reports|February 16, 2020
Prediction of Sequential Organelles Localization under Imbalance using A Balanced Deep U-NetNovanto Yudistira, Muthusubash Kavitha, Takeshi Itabashi, et al.
BMC Medical Imaging|January 18, 2012
Diagnosis of osteoporosis from dental panoramic radiographs using the support vector machine method in a computer-aided systemM S Kavitha, Akira Asano, Akira Taguchi, et al.
Scientific Reports|May 10, 2020
Deep learning enables automated localization of the metastatic lymph node for thyroid cancer on <sup>131</sup>I post-ablation whole-body planar scansMuthuSubash Kavitha, Chang-Hee Lee, KattakkaliSubhashdas Shibudas, et al.
Pageof 2