Now showing items 444-463 of 918

    • Large enhancement of interface second-harmonic generation near the zero- ¯ n gap of a negative-index Bragg grating 

      D’Aguanno, Giuseppe; Mattiucci, Nadia; Bloemer, Mark J.; Scalora, Michael (American Physical Society (APS), 2006-03-06)
      We predict a large enhancement of interface second-harmonic generation near the zero- ¯n gap of a Bragg grating made of alternating layers of negative- and positive-index materials. Field localization and coherent ...
    • Large Scale Taxonomy Classification using BiLSTM with Self-Attention 

      Gao, Hang; Oates, Tim (ACM, 2018-07)
      In this paper we present a deep learning model for the task of large scale taxonomy classification, where the model is expected to predict the corresponding category ID path given a product title. The proposed approach ...
    • Large Third-Order Nonlinearities in Atomic Layer Deposition Grown Nitrogen-Enriched TiO₂ Nanoscale Films 

      Kuis, Robinson; Gougousi, Theodosia; Basaldua, Isaac; Burkins, Paul; Kropp, Jaron A.; Johnson, Anthony M. (IEEE, 2020-08)
      Nonlinear refractive index, n₂, values as high as 1±.1x10⁻⁹ cm² /W were measured in atomic layer deposition (ALD) grown TiO₂ nanoscale films, using femtosecond thermally managed Z-scan. The several order of magnitude ...
    • LASCA: Learning Assisted Side Channel Delay Analysis for Hardware Trojan Detection 

      Vakil, Ashkan; Behnia, Farnaz; Mirzaeian, Ali; Homayoun, Houman; Karimi, Naghmeh; Sasan, Avesta (2020-01-17)
      In this paper, we introduce a Learning Assisted Side Channel delay Analysis (LASCA) methodology for Hardware Trojan detection. Our proposed solution, unlike the prior art, does not require a Golden IC. Instead, it trains ...
    • A Layered Approach to Semantic Similarity Analysis of XML Schemas 

      Kim, Jaewook; Peng, Yun; Kulvatunyou, Serm; Ivezic, Nenad; Jones, Albert (IEEE, 2008-08-05)
      One of the most critical steps to integrating heterogeneous e-Business applications using different XML schemas is schema mapping, which is known to be costly and error-prone. Past research on schema mapping has not fully ...
    • Learning Aligned Cross-Modal Representations from Weakly Aligned Data 

      Castrejón, Lluís; Aytar, Yusuf; Vondrick, Carl; Pirsiavash, Hamed; Torralba, Antonio (IEEE, 2016-06-30)
      People can recognize scenes across many different modalities beyond natural images. In this paper, we investigate how to learn cross-modal scene representations that transfer across modalities. To study this problem, we ...
    • Learning Co-reference Relations for FOAF Instances 

      Sleeman, Jennifer; Finin, Tim (CEUR, 2010-11-09)
      FOAF is widely used on the Web to describe people, groups and organizations and their properties. Since FOAF does not require unique IDs, it is often unclear when two FOAF instances are co-referent, i.e., denote the same ...
    • Learning from Observations Using a Single Video Demonstration and Human Feedback 

      Gandhi, Sunil; Oates, Tim; Mohsenin, Tinoosh; Waytowich, Nicholas (2019-09-29)
      In this paper, we present a method for learning from video demonstrations by using human feedback to construct a mapping between the standard representation of the agent and the visual representation of the demonstration. ...
    • Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions 

      Matuszek, Cynthia; Bo, Liefeng; Zettlemoyer, Luke; Fox, Dieter (Association for the Advancement of Artificial Intelligence (AAAI)., 2014-07)
      As robots become more ubiquitous, it is increasingly important for untrained users to be able to interact with them intuitively. In this work, we investigate how people refer to objects in the world during relatively ...
    • Learning to Parse Natural Language Commands to a Robot Control System 

      Matuszek, Cynthia; Herbst, Evan; Zettlemoyer, Luke; Fox, Dieter (Springer Nature Switzerland AG., 2012-06)
      As robots become more ubiquitous and capable of performing complex tasks, the importance of enabling untrained users to interact with them has increased. In response, unconstrained natural-language interaction with robots ...
    • Learning to regularize with a variational autoencoder for hydrologic inverse analysis 

      O’Malley, Daniel; Golden, John K.; Vesselinov, Velimir V. (2019-06-06)
      Inverse problems often involve matching observational data using a physical model that takes a large number of parameters as input. These problems tend to be under-constrained and require regularization to impose additional ...
    • Learning to Shadow Hand-Drawn Sketches 

      Zheng, Qingyuan; Li, Zhuoru; Bargteil, Adam (IEEE, 2020-08-05)
      We present a fully automatic method to generate detailed and accurate artistic shadows from pairs of line drawing sketches and lighting directions. We also contribute a new dataset of one thousand examples of pairs of line ...
    • Learning visual biases from human imagination 

      Vondrick, Carl; Pirsiavash, Hamed; Oliva, Aude; Torralba, Antonio (2015)
      Although the human visual system can recognize many concepts under challengingconditions, it still has some biases. In this paper, we investigate whether wecan extract these biases and transfer them into a machine recognition ...
    • A Level-set Method for Skinning Animated Particle Data 

      Bhattacharya, Haimasree; Gao, Yue; Bargteil, Adam W. (IEEE, 2014-10-09)
      In this paper, we present a straightforward, easy to implement method for particle skinning—generating surfaces from animated particle data. We cast the problem in terms of constrained optimization and solve the ...
    • A Level-set Method for Skinning Animated Particle Data 

      Bhatacharya, Haimasree; Gao, Yue; Bargteil, Adam (ACM, 2011-08-07)
      In this paper, we present a straightforward, easy to implement method for particle skinning—generating surfaces from animated particle data. We cast the problem in terms of constrained optimization and solve the ...
    • Linear and Nonlinear Optical Properties of Quasi-Periodic One-Dimensional Structures 

      Sibilia, Concita; Bertolotti, Mario; Centini, Marco; D’Aguanno, Giuseppe; Scalora, Michael; Bloemer, Mark J.; Bowden, Charles M. (Springer, Berlin, Heidelberg, 2002-01-22)
      The optical properties of self-similar optical multilayer structures are first discussed for low input intensities, thus allowing the neglect of nonlinear effects. The structures under consideration are obtained by alternating ...
    • Locality Preserving Loss to Align Vector Spaces 

      Ganesan, Ashwinkumar; Ferraro, Frank; Oates, Tim (2020-04-07)
      We present a locality preserving loss (LPL)that improves the alignment between vector space representations (i.e., word or sentence embeddings) while separating (increasing distance between) uncorrelated representations ...
    • Long range plasmon assisted all-optical switching at telecommunication wavelengths 

      Mattiucci, Nadia; D’Aguanno, Giuseppe; Bloemer, Mark J.
      We exploit the properties of ultranarrow, Fano-like resonances generated by the coupling of long range surface plasmons with ultrathin (∼10 nm), metallic, subwavelength gratings embedded in a nonlinear, cubic material to ...
    • Longitudinal Energy Waste Detection with Visualization 

      Lachut, David; Pathak, Nilavra; Banerjee, Nilanjan; Roy, Nirmalya; Robucci, Ryan (ACM, 2017-11-08)
      Leaky windows and doors, open refrigerators, unattended appliances, left-on lights, and other sources subtly leak energy accounting for a large portion of waste. Formal energy audits are expensive and time consuming and ...
    • Low Temperature Flux Growth of 2H-SiC and β-Gallium Oxide 

      Singh, N. B.; Choa, Fow-Sen; Su, Ching-Hua; Arnold, Bradley; Kelly, Lisa
      We present brief overview of our study on the low temperature flux growth of two very important novel wide bandgap materials 2H-SiC and β-gallium oxide (β-Ga₂O₃). We have synthesized and grown 5mm to 1cm size single crystals ...