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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IBISML, IPSJ-CVIM 2024-03-04
15:30
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
Development of a Method of Growth Diagnosis for Mini-tomatoes Using a Color Stereo Camera
Hiroki Egawa (Wakayama Univ.), Toshiya Tanaka, Hiromi Hanada (Warm Place Gardening Center), Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2023-74
(To be available after the conference date) [more] PRMU2023-74
pp.134-139
PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI 2023-11-17
14:40
Tottori
(Primary: On-site, Secondary: Online)
A context-dependent character sequence recognition based on ambiguous recognition expression
Shu Kimoto, Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2023-37
Classification is usually regarded as a task of determining the class to which a given input belongs, however, the class... [more] PRMU2023-37
pp.119-124
PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI 2023-11-17
14:40
Tottori
(Primary: On-site, Secondary: Online)
An image based barcode reading using Hough transform and 1-D super resolution
Hiroki Egawa, Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2023-38
There is a demand for automatic reading of shelf tag barcodes captured by mobile robots to assist shelf allocation. In t... [more] PRMU2023-38
pp.125-130
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
09:40
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Pruning for Producing Efficient DNNs: Neuron Selection and Reconstruction based on Final Layer Error
Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2022-66 IBISML2022-73
Deep Neural Networks (DNNs) are dominant in the field of machine learning. However, because DNN models have large comput... [more] PRMU2022-66 IBISML2022-73
pp.42-47
PRMU 2022-12-15
10:45
Toyama Toyama International Conference Center
(Primary: On-site, Secondary: Online)
DN4C -- An Interactive Image Segmentation System Combining Deep Neural Network and Nearest Neighbor Classifier --
Toshikazu Wada, Koji Kamma (Wakayama University) PRMU2022-35
Color/texture based image segmentation can be widely applied to the images for product and/or medical inspection, remote... [more] PRMU2022-35
pp.19-24
PRMU 2022-12-15
14:25
Toyama Toyama International Conference Center
(Primary: On-site, Secondary: Online)
A DNN compression method based on output error of activation functions
Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2022-38
Deep Neural Networks (DNNs) are dominant in the field of machine learning. However, because DNN models have large comput... [more] PRMU2022-38
pp.34-39
PRMU 2022-09-14
16:00
Kanagawa
(Primary: On-site, Secondary: Online)
Convolutional Skip Connection for Compressing DNNs with Branched Architectures
Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2022-16
Although Deep Neural Network (DNN) is a core technology in Computer Vision, it is difficult to implement DNN models beca... [more] PRMU2022-16
pp.37-42
PRMU, IPSJ-CVIM 2020-05-14
13:15
Online Online Biorthogonal System Based Channel Selection Algorithm for Neural Network Pruning
Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2020-2
 [more] PRMU2020-2
pp.7-12
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-20
10:10
Fukuoka   Structural Learning of Neural Network based on Outputs of Neurons
Koji Kamma, Yuki Isoda, Toshikazu Wada (Wakayama Univ.) PRMU2018-40 IBISML2018-17
This paper presents a method of compaction on DNNs. Our method includes two steps, 1) Neuro-Coding: feature the neuron b... [more] PRMU2018-40 IBISML2018-17
pp.31-36
 Results 1 - 9 of 9  /   
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