Lamphq.com

Lamphq.com has Server used 142.93.7.112 IP Address with Hostname in Canada. Below listing website ranking, Similar Webs, Backlinks. This domain was first 2018-04-19 (4 years, 117 days) and hosted in North York Canada, server ping response time 9 ms

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1 Lamp hq
2 Lamp shades
3 Lampshade
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Hosting Provider

Website: Lamphq.com
Hostname: 274174.cloudwaysapps.com
Country:
Region: ON
City: North York
Postal Code: M3B
Latitude: 43.744998931885
Longitude: -79.359001159668
Area Code: 0
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Lamphq.com   DA: 10 PA: 30 MOZ Rank: 40

  • First enter all parameters into the calculator to calculate the required number of spots
  • The beam angle and lumen specification can be taken from your choosen spots
  • The illuminance is the desired target value for the respective room
  • After clicking Calculate, the minimum number of recessed lights is calculated in order to achieve a consistent

Blog.lamphq.ai   DA: 14 PA: 8 MOZ Rank: 23

  • LampHQ is SaaS provider for edtech products
  • Archive of stories published by LampHQ

Link.springer.com   DA: 17 PA: 35 MOZ Rank: 54

  • In this paper, we propose a LAMP-HQ database to alleviate the issues mentioned above
  • The comparisons with existing other databases are summed up in Table 1.The main advantages of our new database lie in the following aspects: (1) Large-scale
  • LAMP-HQ contains 56,788 NIR and 16,828 VIS images of 573 subjects with 3 races (containing Asian, Caucasian …

Arxiv.org   DA: 9 PA: 15 MOZ Rank: 27

  • Near-infrared-visible (NIR-VIS) heterogeneous face recognition matches NIR to corresponding VIS face images
  • However, due to the sensing gap, NIR images often lose some identity information so that the recognition issue is more difficult than conventional VIS face recognition
  • Recently, NIR-VIS heterogeneous face recognition has attracted considerable …

Github.com   DA: 10 PA: 10 MOZ Rank: 24

  • 1 contribution in the last year
  • NEW! View your contributions in 3D, VR and IRL!

Deepai.org   DA: 10 PA: 50 MOZ Rank: 65

  • In this paper, we propose a new Large-Scale Multi-Pose High-Quality NIR-VIS database LAMP-HQ containing 56,788 NIR and 16,828 VIS images of 573 subjects with large diversities in pose, illumination, attribute, scene and accessory
  • We furnish a benchmark along with the protocol for NIR-VIS face recognition via generation on LAMP-HQ, including

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