Now showing items 61-80 of 918

    • Band Subset Selection for Hyperspectral Image Classification 

      Yu, Chunyan; Song, Meiping; Chang, Chein-I (MDPI, 2018)
      This paper develops a new approach to band subset selection (BSS) for hyperspectral image classification (HSIC) which selects multiple bands simultaneously as a band subset, referred to as simultaneous multiple band selection ...
    • Basis enrichment and solid-fluid coupling for model-reduced fluid simulation 

      Gerszewski, Dan; Kavan, Ladislav; Sloan, Peter-Pike; Bargteil, Adam W. (ACM, 2015-03)
      We present several enhancements to model-reduced fluid simulation that allow improved simulation bases and two way solid-fluid coupling. Specifically, we present a basis enrichment scheme that allows us to combine data ...
    • A Bayesian Approach to Uncertainty Modeling in OWL Ontology 

      Ding, Zhongli; Peng, Yun; Pan, Rong (2004-11-15)
      Dealing with uncertainty is crucial in ontology engineering tasks such as domain modeling, ontology reasoning, and concept mapping between ontologies. This paper presents our on-going research on modeling uncertainty in ...
    • A Bayesian Data Analytics Approach to Buildings’ Thermal Parameter Estimation 

      Pathak, Nilavra; Foulds, James; Roy, Nirmalya; Banerjee, Nilanjan; Robucci, Ryan (Association for Computing Machinery, 2019-06-28)
      Modeling buildings’ heat dynamics is a complex process which depends on various factors including weather, building thermal capacity, insulation preservation, and residents’ behavior. Gray-box models offer an explanation ...
    • A Bayesian Methodology towards Automatic Ontology Mapping 

      Ding, Zhongli; Peng, Yun; Pan, Rong; Yu, Yang (AAAI, 2005-07-09)
      This paper presents our ongoing effort on developing a principled methodology for automatic ontology mapping based on BayesOWL, a probabilistic framework we developed for modeling uncertainty in semantic web. The pro-posed ...
    • A Bayesian network based framework for multi-criteria decision making 

      Watthayu, Wiboonsak; Peng, Yun (2004-08-06)
      Multi-Criteria Decision Making (MCDM) involves the selection of the best actions from a set of alternatives, each of which is evaluated against multiple, and often conflicting, criteria. Most of the existing MCDM methods ...
    • Belief Update in Bayesian Networks Using Uncertain Evidence 

      Pan, Rong; Peng, Yun; Ding, Zhongli (IEEE, 2006-11-13)
      This paper reports our investigation on the problem of belief update in Bayesian networks (BN) using uncertain evidence. We focus on two types of uncertain evidences, virtual evidence (represented as likelihood ratios) and ...
    • Beyond Distributed AI, Agent Teamwork in Ubiquitous Computing 

      Chen, Harry; Finin, Tim (2002-07-16)
      Agent teamwork has been widely studied in the fields of Distributed AI. Much success has been achieved in defining agent teamwork theory to explain how agents should act together as a team and in developing programming ...
    • Bi-level Modelling of False Data Injection Attacks on Security Constrained Optimal Power Flow 

      Khanna, Kush; Joshi, Anupam; Panigrahi, Bijaya Ketan (IET, 2017-06-12)
      Conventional power system was originally designed to provide efficient and reliable power. With the integration of information technology and advanced metering infrastructure, the power grid has become smart. The smart ...
    • Bid Modification Attack in Smart Grid for Monetary Benefits 

      Khanna, Kush; Joshi, Anupam; Panigrahi, Bijaya Ketan (IEEE, 2016-12-19)
      In the quest for reliability and automation, the entire smart grid operation and control depends on the communication infrastructure. This reliance on the information and communication technologies has also opened up ...
    • Bilinear classifiers for visual recognition 

      Pirsiavash, Hamed; Ramanan, Deva; Fowlkes, Charless C. (2009)
      We describe an algorithm for learning bilinear SVMs. Bilinear classifiers are a discriminative variant of bilinear models, which capture the dependence of data on multiple factors. Such models are particularly appropriate ...
    • A Bio-toolkit for Multi-Cardiac Abnormality Diagnosis using ECG Signal and Deep Learning 

      Kirodiwal, Akash; Srivastava, Apoorva; Dash, Ashutosh; Saha, Ayantika; Penaganti, Gopi Vamsi; Pratiher, Sawon; Alam, Sazedul; Patra, Amit; Ghosh, Nirmalya; Banerjee, Nilanjan
      Automated cardiac abnormality detection from an everexpanding number of electrocardiogram (ECG) records has been widely used to assist physicians in the clinical diagnosis of a variety of cardiovascular diseases. Over the ...
    • Birefringence in one-dimensional finite photonic bandgap structures 

      Mandatori, Antonio; Sibilia, Concita; Centini, Marco; D'Aguanno, Giuseppe; Bertolotti, Mario; Scalora, Michael; Bloemer, Mark J.; Bowden, Charles M. (SPIE, 2003-07-09)
      The spectral and dispersive behavior of anisotropic layered structures forming a one dimensional "polarization dependent" photonic band gap are discussed. The finite dimension of the structure has been taken into account. ...
    • Bloch Vector Analysis in Nonlinear, Finite, Dissipative Systems: An Experimental Study 

      D’Aguanno, G.; Larciprete, M. C.; Mattiucci, N.; Belardini, A.; Bloemer, M. J.; Fazio, E.; Buganov, O.; Centini, M.; Sibilia, C. (OSA Publishing, 2010)
      We have investigated and experimentally demonstrated the applicability of the Bloch vector for one-dimensional, nonlinear, finite, dissipative systems. The case studied is the second harmonic generation from metallo-dielectric ...
    • Blockchains for Government: Use Cases and Challenges 

      Clavin, James; Duan, Sisi; Zhang, Haibin; Janeja, Vandana P.; Joshi, Karuna P.; Yesha, Yelena; Erickson, Lucy C.; Li, Justin D.
      Blockchain is the technology used by developers of cryptocurrencies, like Bitcoin, to enable exchange of financial “coins” between participants in the absence of a trusted third party to ensure the transaction, such as is ...
    • Blog Track Open Task: Spam Blog Classification 

      Kolari, Pranam; Java, Akshay; Finin, Tim; Mayfield, James; Joshi, Anupam; Martineau, Justin (2006-11-14)
      Spam blogs or Splogs are blogs created for the sole purpose of hosting ads, promoting affiliate sites and getting new content indexed, with auto-generated or plagiarized content from other sources. Spammers equipped with ...
    • BlogVox: Learning Sentiment Classifiers 

      Martineau, Justin; Java, Akshay; Kolari, Pranam; Joshi, Anupam; Finin, Tim; Mayfield, James (AAAI, 2007-07-22)
      Performing sentiment analysis upon a topic, specified by key words, without prior knowledge about the key words is a difficult task. With the growth of the blogosphere researchers, corporations, and politicians, among ...
    • BlogVox: Separating Blog Wheat from Blog Chaff 

      Java, Akshay; Kolari, Pranam; Finin, Tim; Mayfield, James; Joshi, Anupam; Martineau, Justin (2007-01-07)
      Blog posts are often informally written, poorly structured, rife with spelling and grammatical errors, and feature non-traditional content. These characteristics make them difficult to process with standard language analysis ...
    • Blue and green light emission: new directions and perspectives of applications of one-dimensional photonic band gap structures 

      Bertolotti, Mario; Bloemer, Mark J.; Bowden, Charles M.; Centini, Marco; D'Aguanno, Giuseppe; Scalora, Michael; Sibilia, Concita (SPIE, 2000-07-14)
      Nonlinear quadratic interactions near the band edge of a finite length photonic band gap structure are studied. A strong enhancement of the nonlinear response is found due to the essential role played by the electromagnetic ...
    • Boosting optical nonlinearities in ε -near-zero plasmonic channels 

      Argyropoulos, Christos; Chen, Pai-Yen; D’Aguanno, Giuseppe; Engheta, Nader; Alù, Andrea (American Physical Society, 2012-01-27)
      The anomalous transmission properties of zero-permittivity ultranarrow channels are used to boost Kerr nonlinearities and achieve switching and bistable response for moderate optical intensities. Strong field enhancement, ...