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Hisashi Aomori
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2010 – 2019
- 2016
- [c19]Masatoshi Sato, Hideharu Toda, Hisashi Aomori, Tsuyoshi Otake, Mamoru Tanaka:
Image Segmentation Using Graph Cuts Based on Maximum-Flow Neural Network. ICONIP (1) 2016: 403-412 - 2015
- [c18]Masatoshi Sato, Tsuyoshi Otake, Hisashi Aomori, Mamoru Tanaka:
New image denoising method using multiple-minimum cuts based on maximum-flow neural network. ECCTD 2015: 1-4 - 2014
- [c17]Masatoshi Sato, Hisashi Aomori, Mamoru Tanaka:
Node voltages in nonlinear resistive circuits enable new approach to the minimum cut problem. ISCAS 2014: 2788-2791 - 2012
- [c16]Keisuke Takizawa, Seiya Takenouchi, Hisashi Aomori, Tsuyoshi Otake, Mamoru Tanaka, Ichiro Matsuda, Susumu Itoh:
Lossless image coding by cellular neural networks with backward error propagation learning. IJCNN 2012: 1-6 - [c15]Sathit Prasomphan, Hisashi Aomori, Mamoru Tanaka:
Missing image interpolation using sigma-delta modulation type of DT-CNN. ISCAS 2012: 2661-2664 - [c14]Takahiro Shimizu, Hisashi Aomori, Ichiro Matsuda, Susumu Itoh:
An image approximation method using deformable continuous functions. ISSPA 2012: 377-382 - 2011
- [c13]Keisuke Takizawa, Seiya Takenouchi, Hisashi Aomori, Tsuyoshi Otake, Mamoru Tanaka, Ichiro Matsuda, Susumu Itoh:
Lossless image coding by cellular neural networks with minimum coding rate learning. ECCTD 2011: 33-36 - [c12]Ichiro Matsuda, Shunya Hashimoto, Hiroyuki Koike, Hisashi Aomori, Susumu Itoh:
Rate-distortion optimized image coding allowing lossless conversion to JPEG compliant bitstreams. EUSIPCO 2011: 574-578 - [c11]Sathit Prasomphan, Hisashi Aomori, Mamoru Tanaka:
Design of DT-CNN for Imputing Data at Unobserved Location of Geostatistics Image Dataset. FGIT-SIP 2011: 225-233 - 2010
- [c10]Ichiro Matsuda, Kyohei Unno, Hisashi Aomori, Susumu Itoh:
Block-based spatio-temporal prediction for video coding. EUSIPCO 2010: 2052-2056 - [c9]Seiya Takenouchi, Hisashi Aomori, Tsuyoshi Otake, Mamoru Tanaka, Ichiro Matsuda, Susumu Itoh:
Hierarchical Lossless Image Coding Using Cellular Neural Network. ICONIP (1) 2010: 679-686 - [c8]Hisashi Aomori, Tsuyoshi Otake, Nobuaki Takahashi, Ichiro Matsuda, Susumu Itoh, Mamoru Tanaka:
An oversampling 2D sigma-delta converter by cellular neural networks. ISCAS 2010: 2566-2569
2000 – 2009
- 2009
- [j3]Masatoshi Sato, Hisashi Aomori, Mamoru Tanaka:
Maximum-Flow Neural Network: A Novel Neural Network for the Maximum Flow Problem. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(4): 945-951 (2009) - [c7]Hisashi Aomori, Yuki Naito, Tsuyoshi Otake, Nobuaki Takahashi, Ichiro Matsuda, Susumu Itoh, Mamoru Tanaka:
Hardware-aware model of sigma-delta cellular neural network. ECCTD 2009: 311-314 - [c6]Masatoshi Sato, Hisashi Aomori, Mamoru Tanaka:
Nonlinear synaptic Neural Network for Maximum Flow problems. IJCNN 2009: 2812-2818 - 2008
- [j2]Hisashi Aomori, Tsuyoshi Otake, Nobuaki Takahashi, Mamoru Tanaka:
Sigma-delta cellular neural network for 2D modulation. Neural Networks 21(2-3): 349-357 (2008) - 2007
- [c5]Masatoshi Sato, Hisashi Aomori, Mamoru Tanaka:
A path searching method based on circuit analysis for nonlinear resistive networks. ECCTD 2007: 866-869 - [c4]Hisashi Aomori, Tsuyoshi Otake, Nobuaki Takahashi, Mamoru Tanaka:
A Spatial Domain Sigma-Delta Modulation via Discrete-Time Cellular Neural Networks. IJCNN 2007: 1836-1841 - 2006
- [c3]Hisashi Aomori, Tsuyoshi Otake, Nobuaki Takahashi, Mamoru Tanaka:
Lifting-based lossless parallel image coding on discrete-time cellular neural networks. ISCAS 2006 - 2005
- [j1]Hisashi Aomori, Kohei Kawakami, Tsuyoshi Otake, Nobuaki Takahashi, Masayuki Yamauchi, Mamoru Tanaka:
Separable 2D Lifting Using Discrete-Time Cellular Neural Networks for Lossless Image Coding. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 88-A(10): 2607-2614 (2005) - [c2]Hisashi Aomori, Tsuyoshi Otake, Nobuaki Takahashi, Mamoru Tanaka:
Hybrid lifting scheme using discrete-time cellular neural networks for lossless image coding. ECCTD 2005: 161-164 - 2004
- [c1]Hisashi Aomori, Tsuyoshi Otake, Nobuaki Takahashi, Mamoru Tanaka:
Lossless image coding based on lifting wavelet using discrete-time cellular neural network with multi-templates. ISCAS (3) 2004: 101-104
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