814 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Stanford UniversityUS70 papers
- University of California, BerkeleyUS57 papers
- Lawrence Berkeley National LaboratoryUS50 papers
- SLAC National Accelerator LaboratoryUS49 papers
- Fermi National Accelerator LaboratoryUS47 papers
- Kavli Institute for Particle Astrophysics and CosmologyUS42 papers
- University of Colorado DenverUS42 papers
- California Institute of TechnologyUS41 papers
- University of FloridaUS40 papers
- University of MinnesotaUS39 papers
- Texas A&M UniversityUS35 papers
- Queen's UniversityCA34 papers
21 papers · 1 filter
Modal Tracking Based on Group Theory
Michal Masek, Miloslav Capek, Lukas Jelinek +1
Issues in modal tracking in the presence of crossings and crossing avoidances between eigenvalue traces are solved via the theory of point groups. The von Neumann-Wigner theorem is…
HSCS: Hierarchical Sparsity Based Co-saliency Detection for RGBD Images
Runmin Cong, Jianjun Lei, Huazhu Fu +3
Co-saliency detection aims to discover common and salient objects in an image group containing more than two relevant images. Moreover, depth information has been demonstrated to b…
Training Neural Speech Recognition Systems with Synthetic Speech Augmentation
Jason Li, Ravi Gadde, Boris Ginsburg +1
Building an accurate automatic speech recognition (ASR) system requires a large dataset that contains many hours of labeled speech samples produced by a diverse set of speakers. Th…
An Approximation Algorithm for Active Friending in Online Social Networks
Guangmo Tong, Ruiqi Wang, Xiang Li +2
Guiding users to actively expanding their online social circles is one of the primary strategies for enhancing user participation and growing online social networks. In this paper,…
-Series and Quantum Spin Networks
Mohamed Elhamdadi, Mustafa Hajij, Jesse S F Levitt
The tail of a quantum spin network in the two-sphere is a -series associated to the network. We study the existence of the head and tail functions of quantum spin networks color…
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation
Deqing Sun, Xiaodong Yang, Ming-Yu Liu +1
We investigate two crucial and closely related aspects of CNNs for optical flow estimation: models and training. First, we design a compact but effective CNN model, called PWC-Net,…
Differentially Private Change-Point Detection
Rachel Cummings, Sara Krehbiel, Yajun Mei +2
The change-point detection problem seeks to identify distributional changes at an unknown change-point k* in a stream of data. This problem appears in many important practical sett…
To Cluster, or Not to Cluster: An Analysis of Clusterability Methods
A. Adolfsson, M. Ackerman, N. C. Brownstein
Clustering is an essential data mining tool that aims to discover inherent cluster structure in data. For most applications, applying clustering is only appropriate when cluster st…
Optimal Planar Electric Dipole Antenna
Miloslav Capek, Lukas Jelinek, Kurt Schab +4
Considerable time is often spent optimizing antennas to meet specific design metrics. Rarely, however, are the resulting antenna designs compared to rigorous physical bounds on tho…
Profiling and Improving the Duty-Cycling Performance of Linux-based IoT Devices
Immanuel Amirtharaj, Tai Groot, Behnam Dezfouli
Minimizing the energy consumption of Linux-based devices is an essential step towards their wide deployment in various IoT scenarios. Energy saving methods such as duty-cycling aim…
Search for Low-Mass Dark Matter with CDMSlite Using a Profile Likelihood Fit
SuperCDMS Collaboration, R. Agnese, T. Aralis +100
The Cryogenic Dark Matter Search low ionization threshold experiment (CDMSlite) searches for interactions between dark matter particles and germanium nuclei in cryogenic detectors.…
Self-learning how to swim at low Reynolds number
Alan Cheng Hou Tsang, Pun Wai Tong, Shreyes Nallan +1
Synthetic microswimmers show great promise in biomedical applications such as drug delivery and microsurgery. Their locomotion, however, is subject to stringent constraints due to…
Spatial Imaging of Charge Transport in Silicon at Low Temperature
R. A. Moffatt, N. A. Kurinsky, C. Stanford +10
We present direct imaging measurements of charge transport across a 1 cm 1 cm 4 mm crystal of high purity silicon (20 kcm) at temperatures between 500 mK a…
SLAC Microresonator Radio Frequency (SMuRF) Electronics for Read Out of Frequency-Division-Multiplexed Cryogenic Sensors
S. A. Kernasovskiy, S. E. Kuenstner, E. Karpel +20
Large arrays of cryogenic sensors for various imaging applications ranging across x-ray, gamma-ray, Cosmic Microwave Background (CMB), mm/sub-mm, as well as particle detection incr…
ProCal: A Low-Cost and Programmable Calibration Tool for IoT Devices
Chia-Chi Li, Behnam Dezfouli
Calibration is an important step towards building reliable IoT systems. For example, accurate sensor reading requires ADC calibration, and power monitoring chips must be calibrated…
Energy Loss Due to Defect Formation from Pb Recoils in SuperCDMS Germanium Detectors
Robert Agnese, Taylor Aralis, Tsuguo Aramaki +94
The Super Cryogenic Dark Matter Search experiment (SuperCDMS) at the Soudan Underground Laboratory studied energy loss associated with Frenkel defect formation in germanium crystal…
Collaborative Memory Network for Recommendation Systems
Travis Ebesu, Bin Shen, Yi Fang
Recommendation systems play a vital role to keep users engaged with personalized content in modern online platforms. Deep learning has revolutionized many research fields and there…
First Dark Matter Constraints from a SuperCDMS Single-Charge Sensitive Detector
SuperCDMS Collaboration, R. Agnese, T. Aralis +99
We present the first limits on inelastic electron-scattering dark matter and dark photon absorption using a prototype SuperCDMS detector having a charge resolution of 0.1 electron-…
EMPIOT: An Energy Measurement Platform for Wireless IoT Devices
Behnam Dezfouli, Immanuel Amirtharaj, Chia-Chi Li
Profiling and minimizing the energy consumption of resource-constrained devices is an essential step towards employing IoT in various application domains. Due to the large size and…
Differential Privacy for Growing Databases
Rachel Cummings, Sara Krehbiel, Kevin A. Lai +1
We study the design of differentially private algorithms for adaptive analysis of dynamically growing databases, where a database accumulates new data entries while the analysis is…
Trade-off Between Antenna Efficiency and Q-Factor
Mats Gustafsson, Miloslav Capek, Kurt Schab
The trade-off between radiation efficiency and antenna bandwidth, expressed in terms of Q-factor, for small antennas is formulated as a multi-objective optimization problem in curr…