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ORCIDKaoru Hiramatsu
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2020 – today
- 2020
[j8]Chihiro Watanabe, Kaoru Hiramatsu, Kunio Kashino:
Knowledge Discovery from Layered Neural Networks Based on Non-negative Task Matrix Decomposition. IEICE Trans. Inf. Syst. 103-D(2): 390-397 (2020)
2010 – 2019
- 2019
- [j7]Chihiro Watanabe, Kaoru Hiramatsu, Kunio Kashino:
Understanding community structure in layered neural networks. Neurocomputing 367: 84-102 (2019) - [j6]Masaya Murata
, Kaoru Hiramatsu:
Non-Gaussian Filter for Continuous-Discrete Models. IEEE Trans. Autom. Control. 64(12): 5260-5264 (2019) - 2018
- [j5]Xiaomeng Wu, Kaoru Hiramatsu, Kunio Kashino:
Label Propagation with Ensemble of Pairwise Geometric Relations: Towards Robust Large-Scale Retrieval of Object Instances. Int. J. Comput. Vis. 126(7): 689-713 (2018) - [j4]Chihiro Watanabe, Kaoru Hiramatsu, Kunio Kashino:
Modular representation of layered neural networks. Neural Networks 97: 62-73 (2018) - [c33]Takuhiro Kaneko, Kaoru Hiramatsu, Kunio Kashino:
Generative Adversarial Image Synthesis With Decision Tree Latent Controller. CVPR 2018: 6606-6615 - [c32]Xiaomeng Wu, Go Irie, Kaoru Hiramatsu, Kunio Kashino:
Query Expansion with Diffusion On Mutual Rank Graphs. ICASSP 2018: 1653-1657 - [c31]Xiaomeng Wu, Go Irie, Kaoru Hiramatsu, Kunio Kashino:
Weighted Generalized Mean Pooling for Deep Image Retrieval. ICIP 2018: 495-499 - [i4]Chihiro Watanabe, Kaoru Hiramatsu, Kunio Kashino:
Understanding Community Structure in Layered Neural Networks. CoRR abs/1804.04778 (2018) - [i3]Chihiro Watanabe, Kaoru Hiramatsu, Kunio Kashino:
Knowledge Discovery from Layered Neural Networks based on Non-negative Task Decomposition. CoRR abs/1805.07137 (2018) - [i2]Takuhiro Kaneko, Kaoru Hiramatsu, Kunio Kashino:
Generative Adversarial Image Synthesis with Decision Tree Latent Controller. CoRR abs/1805.10603 (2018) - 2017
- [c30]Keisuke Oyamada, Hirokazu Kameoka, Takuhiro Kaneko, Hiroyasu Ando, Kaoru Hiramatsu, Kunio Kashino:
Non-native speech conversion with consistency-aware recursive network and generative adversarial network. APSIPA 2017: 182-188 - [c29]Masaru Tsuchida, Keiji Yano, Kaoru Hiramatsu, Kunio Kashino:
Visualizing Lost Designs in Degraded Early Modern Tapestry Using Infra-red Image. CCIW 2017: 144-149 - [c28]Takuhiro Kaneko, Kaoru Hiramatsu, Kunio Kashino:
Generative Attribute Controller with Conditional Filtered Generative Adversarial Networks. CVPR 2017: 7006-7015 - [c27]Chihiro Watanabe, Kaoru Hiramatsu, Kunio Kashino:
Recursive Extraction of Modular Structure from Layered Neural Networks Using Variational Bayes Method. DS 2017: 207-222 - [c26]Xinhao Liu, Takahito Kawanishi, Xiaomeng Wu, Kaoru Hiramatsu, Kunio Kashino:
Deep salience map guided arbitrary direction scene text recognition. ICASSP 2017: 1642-1646 - [c25]Xiaomeng Wu, Takahito Kawanishi, Minoru Mori, Kaoru Hiramatsu, Kunio Kashino:
Edited film alignment via selective Hough transform and accurate template matching. ICASSP 2017: 1707-1711 - [c24]Takuhiro Kaneko, Hirokazu Kameoka, Nobukatsu Hojo, Yusuke Ijima, Kaoru Hiramatsu, Kunio Kashino:
Generative adversarial network-based postfilter for statistical parametric speech synthesis. ICASSP 2017: 4910-4914 - [c23]Xiaomeng Wu, Xinhao Liu, Kaoru Hiramatsu, Kunio Kashino:
Contrast-accumulated histogram equalization for image enhancement. ICIP 2017: 3190-3194 - [c22]Takuhiro Kaneko, Hirokazu Kameoka, Kaoru Hiramatsu, Kunio Kashino:
Sequence-to-Sequence Voice Conversion with Similarity Metric Learned Using Generative Adversarial Networks. INTERSPEECH 2017: 1283-1287 - [c21]Masaya Murata, Kaoru Hiramatsu, Shin'ichi Satoh:
Information Retrieval Model using Generalized Pareto Distribution and Its Application to Instance Search. SIGIR 2017: 1117-1120 - [c20]Chihiro Watanabe, Kaoru Hiramatsu, Kunio Kashino:
Modular representation of autoencoder networks. SSCI 2017: 1-8 - [c19]Hidehisa Nagano, Xiaomeng Wu, Kaoru Hiramatsu, Kunio Kashino, Shin'ichi Satoh:
NTT Communication Science Laboratories and National Institute of Informatics at TRECVID 2017 Instance Search. TRECVID 2017 - [i1]Chihiro Watanabe, Kaoru Hiramatsu, Kunio Kashino:
Modular Representation of Layered Neural Networks. CoRR abs/1703.00168 (2017) - 2016
- [j3]Masaya Murata, Hidehisa Nagano, Kaoru Hiramatsu, Kunio Kashino, Shin'ichi Satoh:
Bayesian Exponential Inverse Document Frequency and Region-of-Interest Effect for Enhancing Instance Search Accuracy. IEICE Trans. Inf. Syst. 99-D(9): 2320-2331 (2016) - [c18]Masaya Murata, Hidehisa Nagano, Kaoru Hiramatsu, Kunio Kashino:
Filter design based on multiple model estimation. ACC 2016: 7061-7066 - [c17]Masaru Tsuchida, Kaoru Hiramatsu, Kunio Kashino:
Designing Spectral Power Distribution of Illumination with Color Chart to Enhance Color Saturation. CIC 2016: 278-282 - [c16]Takuhiro Kaneko, Kaoru Hiramatsu, Kunio Kashino:
Adaptive Visual Feedback Generation for Facial Expression Improvement with Multi-task Deep Neural Networks. ACM Multimedia 2016: 327-331 - 2015
- [c15]Xiaomeng Wu, Taiga Yoshida, Jun Shimamura, Hidehisa Nagano, Kunio Kashino, Takahito Kawanishi, Kaoru Hiramatsu, Takayuki Kurozumi, Tetsuya Kinebuchi:
NTT at TRECVID 2015: Instance Search. TRECVID 2015 - 2014
- [c14]Masaya Murata, Hidehisa Nagano, Kaoru Hiramatsu, Takahito Kawanishi, Kunio Kashino:
NTT Communication Science Laboratories at TRECVID 2014 Instance Search Task. TRECVID 2014 - 2010
- [j2]Kaoru Hiramatsu, Takashi Hattori, Tatsumi Yamada, Takeshi Okadome:
A simple probabilistic analysis of sensor data fluctuations in the real world. Int. J. Pervasive Comput. Commun. 6(2): 163-178 (2010) - [c13]Ryo Mukai, Takayuki Kurozumi, Kaoru Hiramatsu, Takahito Kawanishi, Hidehisa Nagano, Kunio Kashino:
NTT Communication Science Laboratories at TRECVID 2010 Content Based Copy Detection. TRECVID 2010
2000 – 2009
- 2006
- [c12]Kaoru Hiramatsu, Takashi Hattori, Tatsumi Yamada, Takeshi Okadome:
A Simple Probabilistic Analysis of Sensor Data Fluctuations in the Real World. AINA (1) 2006: 399-406 - [c11]Takashi Hattori, Kaoru Hiramatsu, Takeshi Okadome, Bijan Parsia, Evren Sirin:
Ichigen-San: An Ontology-Based Information Retrieval System. APWeb 2006: 1197-1200 - [c10]Takeshi Okadome, Takashi Hattori, Kaoru Hiramatsu, Yutaka Yanagisawa:
A Real-World Event Search System in Sensor Network Environments. MDM 2006: 62 - [c9]Naoki Matsushita, Takashi Yoshino, Takashi Hattori, Kaoru Hiramatsu, Takeshi Okadome:
Proposal of Visualization of Reasoning Processes in Sensor Network Environment. UIC 2006: 576-585 - 2005
- [c8]François Bry, Takashi Hattori, Kaoru Hiramatsu, Takeshi Okadome, Christoph Wieser, Tatsumi Yamada:
Context Modeling in OWL for Smart Building Services. Grundlagen von Datenbanken 2005: 38-42 - 2004
- [c7]Kaoru Hiramatsu, Jun-ichi Akahani, Tetsuji Satoh:
Querying Real World Services Through the Semantic Web. ISWC 2004: 741-751 - 2003
- [c6]Kaoru Hiramatsu, Jun-ichi Akahani, Tetsuji Satoh:
Two-phase Query Modification using Semantic Relations based on Ontologies. IIWeb 2003: 155-158 - 2001
- [j1]Satoshi Oyama, Kaoru Hiramatsu, Toru Ishida:
Cooperative Information Agents for Digital Cities. Int. J. Cooperative Inf. Syst. 10(1-2): 197-215 (2001) - [c5]Kaoru Hiramatsu:
Log Analysis of Map-Based Web Page Search on Digital City Kyoto. Digital Cities 2001: 233-245 - [c4]Jun-ichi Akahani, Kaoru Hiramatsu, Yoshikazu Furukawa, Kiyoshi Kogure:
Agent-Based Coordination of Regional Information Services. Digital Cities 2001: 283-291 - [c3]Kaoru Hiramatsu, Toru Ishida:
An Augmented Web Space for Digital Cities. SAINT 2001: 105-112
1990 – 1999
- 1999
- [c2]Toru Ishida, Jun-ichi Akahani, Kaoru Hiramatsu, Katherine Isbister, Stefan Lisowski, Hideyuki Nakanishi, Masayuki Okamoto, Yasuhiko Miyazaki, Ken Tsutsuguchi:
Digital City Kyoto: Towards a Social Information Infrastructure. CIA 1999: 34-46 - 1998
- [c1]Akira Mori, Kaoru Hiramatsu, Futoshi Naya, Nobuyasu Osato:
A Robot-Controlling Agent Description with Finite State Machines. DARS 1998: 225-234
Coauthor Index
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