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Kameyama, Keisuke
98  results:
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1

LSTM-based Forecasting using Policy Stringency and Time-var..:

, In: 2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA),
Maniamfu, Pavodi ; Kameyama, Keisuke - p. 111-116 , 2023
Link: https://doi.org/10.1109/..
 
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2

Machine Learning Curriculums Generated by Classifier Ensemb..:

, In: 2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA),
Huang, Tzu-Jui ; Kameyama, Keisuke - p. 117-121 , 2023
Link: https://doi.org/10.1109/..
 
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3

CNN Model Compression by Merit-Based Distillation:

, In: 2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA),
Morikawa, Takumi ; Kameyama, Keisuke - p. 122-127 , 2023
Link: https://doi.org/10.1109/..
 
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4

Informative Band Subset Selection for Hyperspectral Image C..:

, In: 2022 IEEE Symposium Series on Computational Intelligence (SSCI),
Ali, U A Md Ehsan ; Kameyama, Keisuke - p. 573-580 , 2022
Link: https://doi.org/10.1109/..
 
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5

Multi-Stage Model Compression using Teacher Assistant and D..:

, In: 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops),
Morikawa, Takumi ; Kameyama, Keisuke - p. 484-490 , 2022
Link: https://doi.org/10.1109/..
 
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6

Adaptive Selection of Classifiers for Person Recognition by..:

, In: Neural Information Processing; Lecture Notes in Computer Science,
Ogawa, Keita ; Kameyama, Keisuke - p. 656-667 , 2021
Link: https://doi.org/10.1007/..
 
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7

Pre-Training Acquisition Functions by Deep Reinforcement Le..:

Taguchi, Yusuke ; Hino, Hideitsu ; Kameyama, Keisuke
Neural Processing Letters.  53 (2021)  3 - p. 1945-1962 , 2021
Link: https://doi.org/10.1007/..
 
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8

Cube-Based Encryption-then-Compression System for Video Seq..:

SHIMIZU, Kosuke ; SUZUKI, Taizo ; KAMEYAMA, Keisuke
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences.  E101.A (2018)  11 - p. 1815-1822 , 2018
Link: https://doi.org/10.1587/..
 
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9

Parallel Cooperative Ensemble Learning by Adaptive Data Wei..:

, In: Neural Information Processing; Lecture Notes in Computer Science,
Utsumi, Shota ; Kameyama, Keisuke - p. 673-683 , 2018
Link: https://doi.org/10.1007/..
 
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10

A novel shape descriptor based on salient keypoints detecti..:

Chatbri, Houssem ; Kameyama, Keisuke ; Kwan, Paul..
Multimedia Tools and Applications.  77 (2018)  21 - p. 28925-28948 , 2018
Link: https://doi.org/10.1007/..
 
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11

Educational video classification by using a transcript to i..:

, In: 2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA),
Chatbri, Houssem ; Oliveira, Marlon ; McGuinness, Kevin... - p. 1-6 , 2017
Link: https://doi.org/10.1109/..
 
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12

Automatic MOOC Video Classification using Transcript Featur..:

, In: Proceedings of the 2017 ACM Workshop on Multimedia-based Educational and Knowledge Technologies for Personalized and Social Online Training,
Chatbri, Houssem ; McGuinness, Kevin ; Little, Suzanne... - p. 21-26 , 2017
Link: https://dl.acm.org/doi/1..
 
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13

A comparative study using contours and skeletons as shape r..:

Chatbri, Houssem ; Kameyama, Keisuke ; Kwan, Paul
Pattern Recognition Letters.  76 (2016)  - p. 59-66 , 2016
Link: https://doi.org/10.1016/..
 
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14

Using scale space filtering to make thinning algorithms rob..:

Chatbri, Houssem ; Kameyama, Keisuke
Pattern Recognition Letters.  42 (2014)  - p. 1-10 , 2014
Link: https://doi.org/10.1016/..
 
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15

A Composite Illumination Invariant Color Feature and Its Ap..:

KOBAYASHI, Masaki ; KAMEYAMA, Keisuke
IEICE Transactions on Information and Systems.  E95.D (2012)  10 - p. 2522-2532 , 2012
Link: https://doi.org/10.1587/..
 
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