Publications
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New Candidate Biomarkers in the Female Genital Tract to Evaluate Microbicide Toxicity
Vaginal microbicides hold great promise for the prevention of viral diseases like HIV, but the failure of several microbicide candidates in clinical trials has raised important questions.
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Bipedal Hopping Pattern Generation for Passively Compliant Humanoids: Exploiting the Resonance
This paper describes a novel technique to analytically generate feasible hopping trajectories that can be applied to passively compliant bipedal humanoid robots.
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A Fuzzy Commitment Approach to Privacy Preserving Behavioral Targeting
This paper describes a privacy-preserving framework for delivering coupons to users that approximately satisfy a predefined behavioral profile.
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CCN-KRS: A Key Resolution Service for CCN
Abstract One key feature of the CCN design is the requirement for each content object to be individually secured by its producer. Thus, CCN should be, in principle, immune to…
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Randomized Support Vector Forest
We proposed a new supervised learning algorithm, Randomized Support Vector Forest (RSVF): Many partitions of the input space are constructed with partitioning regions amenable to the corresponding linear SVMs.
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The Semantics of Datalog for the Evidential Tool Bus
The Evidential Tool Bus (ETB) is a distributed framework for tool integration for the purpose of building and maintaining assurance cases. We outline the semantic characteristics of the variant of…
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Application of Convolutional Neural Networks to Speaker Recognition in Noisy Conditions
This paper applies a convolutional neural network (CNN) trained for automatic speech recognition (ASR) to the task of speaker identification (SID).
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A Deep Neural Network Speaker Verification System Targeting Microphone Speech
We recently proposed the use of deep neural networks (DNN) in place of Gaussian Mixture models (GMM) in the i-vector extraction process for speaker recognition.
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Concolic Fault Localization
Inspired by concolic testing, we propose a novel algorithm that integrates concrete execution and symbolic reasoning about the error trace to address these challenges.
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Precise Vision-Aided Aerial Navigation
This paper proposes a novel vision-aided navigation approach that continuously estimates precise 3D absolute pose for aerial vehicles, using only inertial measurements and monocular camera observations.
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The Versatile Synchronous Observer
The paper describes and illustrates these applications of synchronous observers.
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Virtual Insertion: Robust Bundle Adjustment Over Long Video Sequences
Our goal is to circumvent one of the roadblocks of using existing bundle adjustment algorithms for achieving satisfactory large-area structure from motion over long video sequences, namely, the need for…