Now showing items 352-371 of 918

    • Hash Functions for GPU Rendering 

      Jarzynski, Mark; Olano, Marc
      In many graphics applications, a deterministic random hash provides the best source of random numbers. We evaluate a range of existing hash functions for random number quality using the TestU01 test suite, and GPU execution ...
    • Hash-Grams: Faster N-Gram Features for Classification and Malware Detection 

      Raff, Edward; Nicholas, Charles (Association for Computing Machinery (ACM), 2018)
      N-grams have long been used as features for classification problems, and their distribution often allows selection of the top-k occurring n-grams as a reliable first-pass to feature selection. However, this top-k selection ...
    • Hidden Trigger Backdoor Attacks 

      Saha, Aniruddha; Subramanya, Akshayvarun; Pirsiavash, Hamed (2019-12-21)
      With the success of deep learning algorithms in various domains, studying adversarial attacks to secure deep models in real world applications has become an important research topic. Backdoor attacks are a form of adversarial ...
    • High-Frequency Noise Peaks in Mo/Au Superconducting Transition-Edge Sensor Microcalorimeters 

      Wakeham, N. A.; Adams, J. S; Bandler, S. R.; Beaumont, S.; Chang, M. P.; Chervenak, J. A.; Datesman, A. M.; Eckart, M. E.; Finkbeiner, F. M.; Ha, J. Y.; Hummatov, R.; Kelley, R. L.; Kilbourne, C. A.; Miniussi, A. R.; Porter, F. S.; Sadleir, J. E.; Sakai, K.; Smith, S. J.; Wassell, E. J. (Springer, 2020-01-13)
      The measured noise in Mo/Au transition-edge sensor (TES) microcalorimeters produced at NASA has recently been shown to be well described by a two-body electrothermal model with a finite thermal conductance between the X-ray ...
    • History, State of the Art and Challenges for Agent Communication Languages 

      Labrou, Yannis K.; Finin, Tim (2000-01-01)
      Knowledge Query and Manipulation Language (KQML) is a language of typed messages, usually understood as speech-acts, encoded as ASCII strings (in a LISP-like syntax), that are transported over TCP/IP connections, and aimed ...
    • HLTCOE Approaches to Knowledge Base Population at TAC 2009 

      McNamee, Paul; Dredze, Mark; Gerber, Adam; Garera, Nikesh; Finin, Tim; Mayfield, James; Piatko, Christine; Rao, Delip; Yarowsky, David; Dreyer, Markus (National Institute of Standards and Technology, 2009-11-01)
      The HLTCOE participated in the entity linking and slot filling tasks at TAC 2009. A machine learning-based approach to entity linking, operating over a wide range of feature types, yielded good performance on the entity ...
    • HLTCOE Participation at TAC 2012: Entity Linking and Cold Start Knowledge Base Construction 

      McNamee, Paul; Stoyanov, Veselin; Mayfield, James; Oates, Tim; Finin, Tim; Xu, Tan; Oard, Douglas W.; Lawrie, Dawn (2012-11)
      Our team from the JHU HLTCOE participated in the Entity Linking and Cold Start Knowledge Base tasks in this year’s Text Analysis Conference Knowledge Base Population evaluation. We have previously participated in TAC-KBP ...
    • HLTCOE Participation at TAC 2013 

      McNamee, Paul; Finin, Tim; Lawrie, Dawn; Mayfield, James (2013)
      The JHU HLTCOE participated in the Entity Linking and Cold Start Knowledge Base tasks in this year’s Text Analysis Conference Knowledge Base Population evaluation. We have previously participated in TAC-KBP evaluations ...
    • HLTCOE Participation in TAC KBP 2015: Cold Start and TEDL 

      Satyapanich, Taneeya; Finin, Tim; McNamee, Paul; Mayfield, James; Oard, Doug; Peng, Nanyun; Gao, Ning; Lin, Yiu-Chang; MacKin, Joshi; Dowd, Tim (National Institute of Standards and Technology, 2015-11-16)
      The JHU HLTCOE participated in the Cold Start and the Trilingual Entity Linking and Discovery tasks of the 2015 Text Analysis Conference Knowledge Base Population evaluation. For our fourth year of participation in Cold ...
    • HLTCOE Participation in TAC KBP 2016: Cold Start and EDL 

      Finin, Tim; Lawrie, Dawn; Mayfield, James; McNamee, Paul; Laspesa, Jessa; Latman, Micheal (National Institute of Standards and Technology, 2016-11-14)
      The JHU HLTCOE participated in the Cold Start and the Entity Discovery and Linking tasks of the 2016 Text Analysis Conference Knowledge Base Population evaluation. For our fifth year of participation in Cold Start we ...
    • Homogenization procedure for a metamaterial and local violation of the second principle of thermodynamics 

      Mattiucci, Nadia; D’Aguanno, Giuseppe; Akozbek, Neset; Scalora, Michael; Bloemer, Mark J. (2008-08-07)
      Classical theory of crystals states that a medium to be considered homogeneous must satisfy the following requirements: a) the dimension of the elementary cell must be much smaller than the incident wavelength; b) the ...
    • Hot Stuff at Cold Start: HLTCOE participation at TAC 2014 

      Finin, Tim; Lawrie, Dawn; Mayfield, James; McNamee, Paul; Harman, Craig (National Institute of Standards and Technology, 2014-10-31)
      The JHU HLTCOE participated in the Cold Start task in this year’s Text Analysis Conference Knowledge Base Population evaluation. This is our third year of participation in the task, and we continued our research with the ...
    • How the Semantic Web is Being Used:An Analysis of FOAF Documents 

      Ding, Li; Zhou, Lina; Finin, Tim; Joshi, Anupam (2005-01-03)
      Semantic Web researchers have initially focused on the representation, development and use of ontologies but paid less attention to the social and structural relationships involved. The past year has seen a dramatic increase ...
    • How ‘Bambi’ paved the way for both ‘Fallout 4’ and ‘Angry Birds’ 

      Bargteil, Adam (The Conversation, 2017-08-07)
    • A Hybrid Approach to Unsupervised Relation Discovery Based on Linguistic Analysis and Semantic Typing 

      Syed, Zareen; Viegas, Evelyne (Association for Computational Linguistics, 2010-06-06)
      This paper describes a hybrid approach for unsupervised and unrestricted relation discovery between entities using output from linguistic analysis and semantic typing information from a knowledge base. We use Factz (encoded ...
    • A hybrid intelligent system for formulation of BCS Class II drugs in hard gelatin capsules 

      Kalra, Gunjan; Peng, Yun; Guo, Mintong; Augsburger, Larry L. (IEEE, 2002-11-18)
      In this paper, we describe a hybrid intelligent system for formulation of BCS Class II drugs in hard gelatin capsules. Several significant challenges are involved in drug-formulation: the active ingredients and the fillers ...
    • Hybrid Mortality Prediction Using Multiple Source Systems 

      Mativo, Isaac; Yesha, Yelena; Grasso, Michael; Oates, Tim; Zhu, Qian
      The use of artificial intelligence in clinical care to improve decision support systems is increasing. This is not surprising since by its very nature, the practice of medicine consists of making decisions based on ...
    • A hybrid quantum enabled RBM advantage: convolutional autoencoders for quantum image compression and generative learning 

      Sleeman, Jennifer; Dorband, John; Halem, Milton (SPIE, 2020-05-20)
      Understanding how the D-Wave quantum computer could be used for machine learning problems is of growing interest. Our work explores the feasibility of using the D-Wave as a sampler for a machine learning task. We describe ...
    • @I seek 'fb.me': Identifying Users across Multiple Online Social Networks 

      Jain, Paridhi; Kumaraguru, Ponnurangam; Joshi, Anupam (ACM, 2013-05-13)
      An online user joins multiple social networks in order to enjoy different services. On each joined social network, she creates an identity and constitutes its three major dimensions namely profile, content and connection ...
    • Identifying and characterizing user communities on Twitter during crisis events 

      Joshi, Anupam; Kumaraguru, Ponnurangam (ACM, 2012-10-29)
      Twitter is a prominent online social media which is used to share information and opinions. Previous research has shown that current real world news topics and events dominate the discussions on Twitter. In this paper, we ...