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Institution

NEC

CompanyTokyo, Japan
About: NEC is a company organization based out in Tokyo, Japan. It is known for research contribution in the topics: Signal & Layer (electronics). The organization has 33269 authors who have published 57670 publications receiving 835952 citations. The organization is also known as: NEC Corporation & NEC Electronics Corporation.


Papers
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Proceedings ArticleDOI
29 Mar 2018
TL;DR: Attention statistics pooling for deep speaker embedding in text-independent speaker verification uses an attention mechanism to give different weights to different frames and generates not only weighted means but also weighted standard deviations, which can capture long-term variations in speaker characteristics more effectively.
Abstract: This paper proposes attentive statistics pooling for deep speaker embedding in text-independent speaker verification. In conventional speaker embedding, frame-level features are averaged over all the frames of a single utterance to form an utterance-level feature. Our method utilizes an attention mechanism to give different weights to different frames and generates not only weighted means but also weighted standard deviations. In this way, it can capture long-term variations in speaker characteristics more effectively. An evaluation on the NIST SRE 2012 and the VoxCeleb data sets shows that it reduces equal error rates (EERs) from the conventional method by 7.5% and 8.1%, respectively.

450 citations

Journal ArticleDOI
TL;DR: In this article, organic-derived nitroxide radicals, including their polymer derivative, poly(2,2,6, 6,6-tetramethylpiperidinyloxy methacrylate) (PTMA), were characterized as a new class of cathode-active materials for lithium batteries.

449 citations

Journal ArticleDOI
01 Feb 1994-Nature

434 citations

Journal ArticleDOI
TL;DR: A novel structure that shows complete ``turn around growth,'' involving pentagon-heptagon pairs, of the tubular assemblies is presented.
Abstract: Evidence is presented, through high-resolution electron microscopy images, for the open-end growth of carbon nanotubes Terminations of incomplete layers of carbon, seen on the tube surfaces and cone tips, suggest that the extension and thickening of the tubes occur by the island growth of graphite basal planes on existing tube surfaces The nucleation of positive (pentagons) and negative (heptagons) disclinations on open tube ends results in changes of growth directions, producing different morphologies A novel structure that shows complete ``turn around growth,'' involving pentagon-heptagon pairs, of the tubular assemblies is presented

434 citations

Patent
Masayuki Nakae1, Masaya Yamagata1
20 Aug 2003
TL;DR: In this paper, a firewall device and a decoy device are provided to defend against attacks from external networks even when a communication system uses a communication path encryption technique such as SSL, and an alert including the attack-source IP address is sent to the firewall device so as to reject subsequent packets from attack source.
Abstract: An attack defending system allows effective defense against attacks from external networks even when a communication system uses a communication path encryption technique such as SSL. A firewall device and a decoy device are provided. The firewall device refers to the header of an input IP packet and, when it is determined that the input IP packet is suspicious, it is guided into the decoy device. The decoy device monitors a process providing a service to detect the presence or absence of attacks. When an attack has been detected, an alert including the attack-source IP address is sent to the firewall device so as to reject subsequent packets from attack source.

430 citations


Authors

Showing all 33297 results

NameH-indexPapersCitations
Pulickel M. Ajayan1761223136241
Xiaodong Wang1351573117552
S. Shankar Sastry12285886155
Sumio Iijima106633101834
Thomas W. Ebbesen9930570789
Kishor S. Trivedi9569836816
Sharad Malik9561537258
Shigeo Ohno9130328104
Adrian Perrig8937453367
Jan M. Rabaey8152536523
C. Lee Giles8053625636
Edward A. Lee7846234620
Otto Zhou7432218968
Katsumi Kaneko7458128619
Guido Groeseneken73107426977
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20238
202220
2021234
2020518
2019952
20181,088