Nikolas Wolfe
Carnegie Mellon University
12 Papers
77 Citations
Nikolas Wolfe is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Renewable energy & Electrical grid. The author has an hindex of 4, co-authored 12 publications. Previous affiliations of Nikolas Wolfe include Disney Research & University of Florida.
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Papers
Informedia@TrecVID 2014: MED and MER
Shoou-I Yu,Lu Jiang,Zhongwen Xu,Zhenzhong Lan,Shicheng Xu,Xiaojun Chang,Xuanchong Li,Zexi Mao,Chuang Gan,Yajie Miao,Xingzhong Du,Yang Cai,Lara J. Martin,Nikolas Wolfe,Anurag Kumar,Huan Li,Ming Lin,Zhigang Ma,Yi Yang,Deyu Meng,Shiguang Shan,Pinar Duygulu Sahin,Susanne Burger,Florian Metze,Rita Singh,Bhiksha Raj,Teruko Mitamura,Richard A. Stern,Alexander G. Hauptmann +28 more
- 01 Jan 2014
TL;DR: On the MED task, the CMU team achieved leading performance in the Semantic Query, 000Ex, 010Ex and 100Ex settings, and the system utilizes a subset of features and detection results from the MED system from which the recounting is then generated.
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•Posted Content
The Incredible Shrinking Neural Network: New Perspectives on Learning Representations Through The Lens of Pruning
TL;DR: It is discovered that there is a straightforward way, however expensive, to serially prune 40-70\% of the neurons in a trained network with minimal effect on the learning representation and without any re-training.
•Proceedings Article
Rapid development of public health education systems in low-literacy multilingual environments: combating ebola through voice messaging.
Nikolas Wolfe,Juneki Hong,Agha Ali Raza,Bhiksha Raj,Roni Rosenfeld +4 more
- 01 Jan 2015
TL;DR: The development and initial deployment of a voice-based, multilingual mobile phone application to spread reliable public health information about Ebola via peer-to-peer sharing and the variety of strategies tried to encourage the spread of the application and data on uptake to date are discussed.
15
Patent
Classifying Segments of Speech Based on Acoustic Features and Context
Jill Fain Lehman,Nikolas Wolfe,André Pereira +2 more
- 02 Sep 2016
TL;DR: In this article, a system including a microphone configured to receive an input speech, an analog to digital (A/D) converter configured to convert the input speech to a digital form and generate a digitized speech including a plurality of segments having acoustic features, a memory storing an executable code, and a processor executing the executable code.
11
•Posted Content
An Open-Source Monitoring System for Remote Solar Power Applications.
TL;DR: This proof of concept is sufficient to show that solar remote monitoring is neither expensive nor particularly cumbersome to implement and thus warrants further investigation and development by the open source community.
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