Result for "Deep Learning",188

NTT Communication Science Laboratories Open House 2017

Exhibition Program 5 Stable deep learning for time-series data Preventing gradient explosions in gated

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/5/index_en.html

『NTT R&Dフォーラム 2018』開催報告　～デジタル技術が彩る未来へ～｜NTT R&D Website

シーの数値を近隣にいるタクシーの位置情報とともにマッピングしたつばめグループのカーナビ Deep Learningを短時間で低コストに行います（corevoを支える基盤技術：E15） 昨今、さま

https://www.rd.ntt/forum/forum2018.html

Dr.Naonori Ueda | NTT R&D Website

preparation) Mulia,I.E.,Ueda,N.,Miyoshi,T.,Iwamoto,T.& Heidarzadeh,M.A novel deep learning approach for

https://www.rd.ntt/e/organization/researcher/fellow/f_003.html

Secure Computation AI | NTT R&D Website

data. Advantages of this technology The world's first technology that enables standard deep learning

https://www.rd.ntt/e/research/SI0014.html

池内　光希

Supply with Deep Reinforcement Learning,” International Conference on Autonomous Agents and Multiagent

https://www.rd.ntt/ns/qos/person/ikeuchi/

PowerPoint Presentation

 Matrix Factorization  Random Walk  Deep Neural Networks The KDD’17 Tutorials  Learning Representations

https://www.rd.ntt/_assets/pdf/sic/event/2018/1/09_panel_jeffrey.pdf

Media Information Laboratory Past news | NTT Communication Science Laboratories | NTT R&D Website

event representation learning for semantic-level generation and editing of avatar motion” has been

https://www.rd.ntt/e/cs/team_project/media/past_news.html

NTT Communication Science Laboratories Open House 2015 Program

- Advances in distant speech recognition by deep learning - Measurement of fluorescence by 9-eye camera

https://www.rd.ntt/cs/event/openhouse/2015/program_en.html

poster.pdf

がります。 0005 Trajectory analysis and prediction using deep learning 1.セグメント分割 2.特徴抽出 3.移動手段判定移動手段推定技術移動軌跡* 時刻

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/5/poster.pdf

スライド 1

on Human Computation and Crowdsourcing （HCOMP2019）, 2019. Deep learning requires much labeled data

https://www.rd.ntt/cs/event/openhouse/2020/download/a_01_en.pdf

NTT Communication Science Laboratories Open House 2019

, thanks to recent AI developments especially in deep learning, computers are approaching?and surpassing in

https://www.rd.ntt/cs/event/openhouse/2019/director/index_en.html

2020_booklet_en.pdf

- Adaptive spotting for efficient object search 20. Deep learning without data aggregation from nodes

https://www.rd.ntt/cs/event/openhouse/2020/download/2020_booklet_en.pdf

F14_leaf_e.pdf

on deep learning using space information collected in the verification environment We confirmed and

https://www.rd.ntt/forum/2023/doc/F14_leaf_e.pdf

Wataru Matsuda | NTT Social Informatics Laboratories | NTT R&D Website

by Monitoring DLL Using Deep Learning, Journal of Information Processing 28, 1052-1064 W Matsuda, M

https://www.rd.ntt/e/sil/overview/evangelist/wataru_matsuda.html

NTT Communication Science Laboratories Open House 2014 Defeat reverberation: enemy of speech recognition - Advanced speech enhancement and recognition -

reduction and deep learning-based automatic speech recognition. Our proposed system greatly improves

https://www.rd.ntt/cs/event/openhouse/2014/exhibition/20/index_en.html

NTT コミュニケーション科学基礎研究所 オープンハウス2020

. Harada, G. Zhang, B. Kleijn, “Edge-consensus learning: deep learning on P2P networks with nonhomogeneous

https://www.rd.ntt/cs/event/openhouse/2020/exhibition20/

Recruit | NTT Software Innovation Center | NTT R&D Website

technologies, machine learning and deep learning algorithm, processing platform technologies for big data

https://www.rd.ntt/e/sic/recruit/

Recognition Research Group | NTT Communication Science Laboratories | NTT R&D Website

, Brian Kenji Iwana, and Seiichi Uchida, "Attention to warp: Deep metric learning for multivariate time

https://www.rd.ntt/e/cs/team_project/media/recognition/

poster_en_17.pdf

, called the composite Line Spectral Pair (LSP) representation, and a deep learning-based approach using

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/17/poster_en_17.pdf

NTT Communication Science Laboratories Open House 2016

and deep learning-based ASR technologies to address such issues, with which we won the CHiME-3

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/19/index_en.html