K
Karl Ni
Researcher at In-Q-Tel
Publications - 52
Citations - 2722
Karl Ni is an academic researcher from In-Q-Tel. The author has contributed to research in topics: Support vector machine & Artificial neural network. The author has an hindex of 13, co-authored 52 publications receiving 2052 citations. Previous affiliations of Karl Ni include University of California, San Diego & Lawrence Livermore National Laboratory.
Papers
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YFCC100M: the new data in multimedia research
Bart Thomee,David A. Shamma,Gerald Friedland,Benjamin Elizalde,Karl Ni,Douglas N. Poland,Damian Borth,Li-Jia Li +7 more
TL;DR: This publicly available curated dataset of almost 100 million photos and videos is free and legal for all.
Journal ArticleDOI
YFCC100M: The New Data in Multimedia Research
Bart Thomee,David A. Shamma,Gerald Friedland,Benjamin Elizalde,Karl Ni,Douglas N. Poland,Damian Borth,Li-Jia Li +7 more
TL;DR: The Yahoo Flickr Creative Commons 100 Million Dataset (YFCC100M) as mentioned in this paper is a collection of 100 million media objects, of which approximately 99.2 million are photos and 0.8 million are videos, all of which carry a Creative Commons license.
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The New Data and New Challenges in Multimedia Research.
Bart Thomee,David A. Shamma,Gerald Friedland,Benjamin Elizalde,Karl Ni,Douglas N. Poland,Damian Borth,Li-Jia Li +7 more
TL;DR: The rationale behind the creation of the YFCC100M, the largest public multimedia collection that has ever been released, is explained, as well as the implications the dataset has for science, research, engineering, and development.
Journal ArticleDOI
Image Superresolution Using Support Vector Regression
Karl Ni,Truong Q. Nguyen +1 more
TL;DR: Investigation of the relevancy of SVR to superresolution proceeds with the possibility of using a single and general support vector regression for all image content, and the results are impressive for small training sets.
Posted Content
Voices Obscured in Complex Environmental Settings (VOICES) corpus
Colleen Richey,M. A. Barrios,Zeb Armstrong,Chris Bartels,Horacio Franco,Martin Graciarena,Aaron Lawson,Mahesh Kumar Nandwana,Allen R. Stauffer,Julien van Hout,Paul Gamble,J. Hetherly,Cory Stephenson,Karl Ni +13 more
TL;DR: Voices Obscured In Complex Environmental Settings (VOICES) as mentioned in this paper is a large-scale dataset of speech recorded by far-field microphones in noisy room conditions, where audio was recorded in furnished rooms with background noise played in conjunction with foreground speech selected from the LibriSpeech corpus.