Information & computer science publications
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A Genome-Scale Metabolic Flux Model of Escherichia coli K-12 Derived from the EcoCyc Database
We present EcoCyc–18.0–GEM, a genome-scale model of the E. coli K–12 MG1655 metabolic network.
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Curation Accuracy of Model Organism Databases
We assessed the accuracy of EcoCyc and CGD by manually selecting curated assertions within randomly chosen EcoCyc and CGD gene pages and by then validating that the data found in…
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Efficiently Gap-Filling Reaction Networks
We present a computational technique, called FastGapFilling, that efficiently completes a reaction network by using only Linear Programming, not MILP.
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Constrained Optimal Selection for Multi-Sensor Robot Navigation Using Plug-and-Play Factor Graphs
This paper proposes a real-time navigation approach that is able to integrate many sensor types while fulfilling performance needs and system constraints.
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Emotion Detection in Speech Using Deep Networks
We propose a novel staged hybrid model for emotion detection in speech. Hybrid models exploit the strength of discriminative classifiers along with the representational power of generative models.
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Global Ethics and Virtual Worlds: Ensuring Functional Integrity in Transnational Research Studies
This paper examines a number of issues in this research context, with particular stress on the challenges posed by transnational experimental projects in virtual worlds and social networks.
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Neuroscience Meets Cryptography: Crypto Primitives Secure against Rubber Hose Attacks
We present a defense against coercion attacks using the concept of implicit learning from cognitive psychology. We use a carefully crafted computer game to plant a secret password in the participant’s brain…
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NV-CMOS HD Camera for Day/Night Imaging
SRI International (SRI) has developed a new multi-purpose day/night video camera with low-light imaging performance comparable to an image intensifier, while offering the size, weight, ruggedness, and cost advantages enabled…
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Medium-Duration Modulation Cepstral Feature for Robust Speech Recognition
In this paper, we present the Modulation of Medium Duration Speech Amplitude feature, which is a composite feature capturing subband speech modulations and a summary modulation.
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Computationally-Efficient Endpointing Features for Natural Spoken Interaction with Personal-Assistant Systems
We elicit personal-assistant speech using a recognizer with a dramatically increased endpoint threshold, and find frequent non-final pauses. Based on the new data, we develop low-cost acoustic features to discriminate…
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On the Feasibility of Deploying Cell Anomaly Detection in Operational Cellular Networks
In this paper, we build on our previous work and study the feasibility of an operational deployment of an adaptive ensemble-method framework for modeling cell behavior.
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Highly Accurate Phonetic Segmentation Using Boundary Correction Models and System Fusion
Accurate phone-level segmentation of speech remains an important task for many subfields of speech research. We investigate techniques for boosting the accuracy of automatic phonetic segmentation based on HMM acoustic-phonetic…