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Kazuo Aoyama
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2020 – today
- 2021
- [j7]Kazuo Aoyama
, Kazumi Saito, Tetsuo Ikeda:
CPI-model-based analysis of sparse k-means clustering algorithms. Int. J. Data Sci. Anal. 12(3): 229-248 (2021) - [c12]Kazuo Aoyama, Hiroshi Sawada:
Acceleration Method for Learning Fine-Layered Optical Neural Networks. ICCAD 2021: 1-9 - [i3]Kazuo Aoyama, Kazumi Saito:
Structured Inverted-File k-Means Clustering for High-Dimensional Sparse Data. CoRR abs/2103.16141 (2021) - [i2]Kazuo Aoyama, Hiroshi Sawada:
Acceleration Method for Learning Fine-Layered Optical Neural Networks. CoRR abs/2109.01731 (2021) - 2020
- [i1]Kazuo Aoyama, Kazumi Saito, Tetsuo Ikeda:
Inverted-File k-Means Clustering: Performance Analysis. CoRR abs/2002.09094 (2020)
2010 – 2019
- 2019
- [c11]Hiroshi Sawada, Kazuo Aoyama:
Similarity Search-based Blind Source Separation. ICASSP 2019: 7888-7892 - 2018
- [j6]Yuki Yamagishi
Pivot Generation Algorithm with a Complete Binary Tree for Efficient Exact Similarity Search. IEICE Trans. Inf. Syst. 101-D(1): 142-151 (2018) - [j5]Kazuo Aoyama, Kazumi Saito, Tetsuo Ikeda:
Accelerating a Lloyd-Type k-Means Clustering Algorithm with Summable Lower Bounds in a Lower-Dimensional Space. IEICE Trans. Inf. Syst. 101-D(11): 2773-2783 (2018) - 2017
- [j4]Yuki Yamagishi
Efficient Similarity Search with a Pivot-Based Complete Binary Tree. IEICE Trans. Inf. Syst. 100-D(10): 2526-2536 (2017) - [j3]Takeshi Inomata
Archaeological Application of Airborne LiDAR with Object-Based Vegetation Classification and Visualization Techniques at the Lowland Maya Site of Ceibal, Guatemala. Remote. Sens. 9(6): 563 (2017) - 2016
- [c10]Takashi Hattori, Kazuo Aoyama, Kazumi Saito, Tetsuo Ikeda, Eri Kobayashi:
Pivot-based k-means Algorithm for Numerous-class Data Sets. SDM 2016: 333-341 - 2015
- [c9]Kazuo Aoyama, Atsunori Ogawa, Takashi Hattori, Takaaki Hori:
Double-layer neighborhood graph based similarity search for fast query-by-example spoken term detection. ICASSP 2015: 5216-5220 - 2014
- [j2]Tomohiro Warashina, Kazuo Aoyama, Hiroshi Sawada, Takashi Hattori:
Efficient K-Nearest Neighbor Graph Construction Using MapReduce for Large-Scale Data Sets. IEICE Trans. Inf. Syst. 97-D(12): 3142-3154 (2014) - [c8]Kazuo Aoyama, Atsunori Ogawa, Takashi Hattori, Takaaki Hori, Atsushi Nakamura:
Zero-resource spoken term detection using hierarchical graph-based similarity search. ICASSP 2014: 7093-7097 - 2013
- [c7]Kazuo Aoyama, Atsunori Ogawa, Takashi Hattori, Takaaki Hori, Atsushi Nakamura:
Graph index based query-by-example search on a large speech data set. ICASSP 2013: 8520-8524 - 2011
- [c6]Kazuo Aoyama, Kazumi Saito, Hiroshi Sawada, Naonori Ueda:
Fast approximate similarity search based on degree-reduced neighborhood graphs. KDD 2011: 1055-1063 - 2010
- [c5]Kazuo Aoyama, Shinji Watanabe
Fast similarity search on a large speech data set with neighborhood graph indexing. ICASSP 2010: 5358-5361
2000 – 2009
- 2009
- [c4]Kazuo Aoyama, Kazumi Saito, Takeshi Yamada, Naonori Ueda:
Fast Similarity Search in Small-World Networks. CompleNet 2009: 185-196 - 2007
- [j1]Kazuo Aoyama:
Design Methods for Symmetric Function Generators Based on Threshold Elements. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 26(11): 1934-1946 (2007) - 2002
- [c3]Kazuo Aoyama, Hiroshi Sawada:
Threshold Element-Based Symmetric Function Generators and Their Functional Extension. FPL 2002: 1092-1096 - [c2]Kazuo Aoyama:
A reconfigurable logic circuit based on threshold elements with a controlled floating gate. ISCAS (5) 2002: 381-384 - 2000
- [c1]Kazuo Aoyama, Hiroshi Sawada, Akira Nagoya, Kazuo Nakajima:
A Threshold Logic-Based Reconfigurable Logic Element with a New Programming Technology. FPL 2000: 665-674
1990 – 1999
- 1993
- [p1]Hiroyuki Makimoto, Tadashi Ojiro, Mai Shiraishi, Takeshi Hoh, Kazuo Aoyama:
Development of a Screw Tightening Machine for Elastic Parts on Clean Room Environment. Robotics, Mechatronics and Manufacturing Systems 1993: 521-527
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