Mitsuru Ambai - researchr alias

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Viewing Publication 1 - 19 from 19

2024

Learning Non-uniform Step Sizes for Neural Network QuantizationShinya Gongyo, Jinrong Liang, Mitsuru Ambai, Rei Kawakami, Ikuro Sato. ACCV 2025: 55-73 [doi]

2021

Snapshot Multispectral Image Completion Via Self-Dictionary Transformed Tensor Nuclear Norm Minimization With Total VariationKeisuke Ozawa, Shinichi Sumiyoshi, Yusuke Sekikawa, Keisuke Uto, Yuichi Yoshida, Mitsuru Ambai. icip 2021: 364-368 [doi]

2018

Hadamard Coding for Supervised Discrete HashingGou Koutaki, Keiichiro Shirai, Mitsuru Ambai. TIP, 27(11):5378-5392, 2018. [doi]

2017

Binary-Decomposed DCNN for Accelerating Computation and Compressing Model Without RetrainingRyuji Kamiya, Takayoshi Yamashita, Mitsuru Ambai, Ikuro Sato, Yuji Yamauchi, Hironobu Fujiyoshi. iccvw 2017: 1095-1102 [doi]

Accelerating Computation of Exemplar-SVM by Binary Approximation based on Matrix DecompositionTakato Kurokawa, Yuji Yamauchi, Mitsuru Ambai, Takayoshi Yamashita, Hironobu Fujiyoshi. bmvc 2017: [doi]

2015

2014

2013

2011

CARD: Compact And Real-time DescriptorsMitsuru Ambai, Yuichi Yoshida. iccv 2011: 97-104 [doi]

Augmenting Training Samples with a Large Number of Rough Segmentation DatasetsMitsuru Ambai, Yuichi Yoshida. ieicet, 94-D(10):1880-1888, 2011. [doi]

Dimensionality Reduction for Histogram Features Based on Supervised Non-negative Matrix FactorizationMitsuru Ambai, Nugraha P. Utama, Yuichi Yoshida. ieicet, 94-D(10):1870-1879, 2011. [doi]

2009

Multiclass VisualRank: image ranking method in clustered subsets based on visual featuresMitsuru Ambai, Yuichi Yoshida. sigir 2009: 732-733 [doi]

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