Marcus Comiter

Harvard University Press — United States

Engineering · Physical Sciences

6h-index147citations14works0.02yr avg
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Research Topics

Indoor and Outdoor Localization Technologies(3), Speech and Audio Processing(3), Face and Expression Recognition(2), Sparse and Compressive Sensing Techniques(2), Topic Modeling(1)

Publications14 total

StitchNet: Composing Neural Networks from Pre-Trained Fragments
2023
StitchNet: Composing Neural Networks from Pre-Trained Fragments
arXiv (Cornell University)·2023Open Access
exBERT: Extending Pre-trained Models with Domain-specific Vocabulary Under Constrained Training Resources
2020· 74 citedOpen Access
CheckNet: Secure Inference on Untrusted Devices
arXiv (Cornell University)·2019Open Access
Localization Convolutional Neural Networks Using Angle of Arrival Images
2018· 17 cited
Data Policy for Internet of Things Healthcare Devices
Cambridge University Press eBooks·2018· 1 cited
Millimeter-Wave Field Experiments with Many Antenna Configurations for Indoor Multipath Environments
2017· 7 citedOpen Access
A Data-Driven Approach to Localization for High Frequency Wireless Mobile Networks
2017· 19 cited
A Structured Deep Neural Network for Data Driven Localization in High Frequency Wireless Networks
International journal of Computer Networks & Communications·2017· 9 citedOpen Access
Nonlinear compressive sensing for distorted measurements and application to improving efficiency of power amplifiers
2017· 5 citedOpen Access
Lambda means clustering: Automatic parameter search and distributed computing implementation
2016· 7 cited
A Future of Abundant Sparsity: Novel Use and Analysis of Sparse Coding in Machine Learning Applications
Digital Access to Scholarship at Harvard (DASH) (Harvard University)·2015Open Access
Taming Wireless Fluctuations by Predictive Queuing Using a Sparse-Coding Link-State Model
2015· 4 cited
Sparse Coding Trees with application to emotion classification
2015· 4 cited

Frequent Co-authors

H. T. Kung(11), Michael B. Crouse(4), Surat Teerapittayanon(4), Bradley McDanel(3), Hsieh-Chung Chen(2), Wen Kai Tai(1), Xin Dong(1), Chang‐Fu Kuo(1), Jenn‐Hwan Tarng(1), Zuo‐Min Tsai(1), Wei‐Ting Wu(1), Ta-Sung Lee(1), Mau-Chung Frank Chang(1), Yen‐Cheng Kuan(1), Miriam Cha(1), Stephen J. Tarsa(1), Brad McDanel(1), H. T. Kung(1)