Publications
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Automated Image Analysis and Classification Tool Based on Computer Vision Deep Learning Technologies
We present a rapid underwater video and automated image analysis tool using computer vision deep learning technologies.
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Advances in Automated Stock Assessment Based on Computer Vision Deep Learning Technologies
We present a rapid fish assessment method leveraging computer vision deep learning technologies to provide both (1) rapid fish annotation and (2) fish classification with fish counting.
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BitNet: Bit-Regularized Deep Neural Networks
We present a novel optimization strategy for training neural networks which we call "BitNet". Our key idea is to limit the expressive power of the network by dynamically controlling the…
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Filament Extension Atomization of Polymer Melts: A Novel Approach for Generating Powders for Selective Laser Sintering
Leveraging on recent developments on PARCs Filament Extension Atomizer (FEA), we present a novel approach for generating micron-sized powders out of a wide range of thermoplastics, for use in selective…
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A Framework for Using Hypothesis-Driven Approaches to Support Data-Driven Learning Analytics in Measuring Computational Thinking in Block-Based Programming Environments
The goal of this research is to explore hypothesis-driven approaches that can be combined with data-driven ones to better interpret student actions and processes in log data captured from block-based…
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Leveraging Deep Neural Network Activation Entropy to Cope with Unseen Data in Speech Recognition
This work aims to estimate the propagation of such distortion in the form of network activation entropy, which is measured over a short-time running window on the activation from each…
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Improving Robustness of Speaker Recognition to New Conditions Using Unlabeled Data
We benchmark these approaches on several distinctly different databases, after we describe our SRICON-UAM team system submission for the NIST 2016 SRE.
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Inferring Stance from Prosody
Speech conveys many things beyond content, including aspects of stance and attitude that have not been much studied.
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Calibration Approaches for Language Detection
In this paper, we focus on situations in which either (1) the system-modeled languages are not observed during use or (2) the test data contains OOS languages that are unseen…
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Closing the Floodgate with Stateless Content-Centric Networking
Abstract Information-Centric Networking (ICN) is a recent paradigm that claims to mitigate some limitations of the current IP-based Internet architecture. The centerpiece of ICN is named and addressable content, rather…
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Plasticity-Related Gene Expression During Eszopiclone-Induced Sleep
We used the expression of plasticity-related genes to assess synaptic plasticity changes during drug-induced sleep.
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The connected wagon – a concept for the integration of vehicle side sensors and actors with cyber physical representation for condition based maintenance
This paper presents an approach for such a system including the power supply, intra-train communications, sensing, cloud-based analytics and value-add proposition.