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  • Quantization of prior probabilities for collaborative distributed hypothesis testing 

    Rhim, Joong Bum; Varshney, Lav R.; Goyal, Vivek K. (Institute of Electrical and Electronics Engineers (IEEE), 2012-09)
    This paper studies the quantization of prior probabilities, drawn from an ensemble, in distributed detection with data fusion by combination of binary local decisions. Design and performance equivalences between a team of ...
  • Conversations in early childhood classrooms: review of literature, preliminary findings from a professional development intervention, and policy suggestions 

    Curenton-Jolly, Stephanie; Rochester, Shana; Syed, Yusra; Gardner, Shari (American Education Research Association, 2018)
    This chapter focuses on classroom conversations during the early childhood years, before formal schooling. We argue that encouraging high-quality conversations between teachers and young children is consistent with empirical ...
  • Conducting research with individuals at risk for suicide: protocol for assessment and risk management 

    Ward‐Ciesielski, Erin F.; Wilks, Chelsey R. (Wiley, 2020-04)
    OBJECTIVE: Suicide prediction, prevention, and intervention are urgent research areas. One barrier for research with high‐risk populations is limited resources to manage risk in a research setting. We describe using the ...
  • Distributed functional scalar quantization simplified 

    Sun, John Z.; Misra, Vinith; Goyal, Vivek K. (Institute of Electrical and Electronics Engineers (IEEE), 2013-07)
    Distributed functional scalar quantization (DFSQ) theory provides optimality conditions and predicts performance of data acquisition systems in which a computation on acquired data is desired. We address two limitations ...
  • Time-stampless adaptive nonuniform sampling for stochastic signals 

    Feizi, Soheil; Goyal, Vivek K.; Medard, Muriel (Institute of Electrical and Electronics Engineers (IEEE), 2012-10)
    In this paper, we introduce a time-stampless adaptive nonuniform sampling (TANS) framework, in which time increments between samples are determined by a function of the m most recent increments and sample values. Since ...
  • Computational nanosensing from defocus in single particle interferometric reflectance microscopy 

    Yurdakul, Celalettin; Ünlü, M. Selim (2020-12-01)
    Single particle interferometric reflectance (SPIR) microscopy has been studied as a powerful imaging platform for label-free and highly sensitive biological nanoparticle detection and characterization. SPIR's interferometric ...
  • The Pan-Amazon Synod 

    Maia, Filipe (2020)
    The Pan-Amazon Synod concluded on October 27, 2019 with a call for a renewed Roman Catholic presence in Amazonia, the recognition of the need for an “integral ecological conversion,” the importance of developing indigenous ...
  • Distributed scalar quantization for computing: high-resolution analysis and extensions 

    Misra, Vinith; Goyal, Vivek K.; Varshney, Lav R. (Institute of Electrical and Electronics Engineers (IEEE), 2011-08)
    Communication of quantized information is frequently followed by a computation. We consider situations of distributed functional scalar quantization: distributed scalar quantization of (possibly correlated) sources followed ...
  • Ranked sparse signal support detection 

    Fletcher, A.K.; Rangan, S.; Goyal, V.K. (Institute of Electrical and Electronics Engineers (IEEE), 2012-11)
    This paper considers the problem of detecting the support (sparsity pattern) of a sparse vector from random noisy measurements. Conditional power of a component of the sparse vector is defined as the energy conditioned on ...
  • Intersensor collaboration in distributed quantization networks 

    Sun, John Z.; Goyal, Vivek K. (Institute of Electrical and Electronics Engineers (IEEE), 2013-09)
    Several key results in distributed source coding offer the intuition that little improvement in compression can be gained from intersensor communication when the information is coded in long blocks. However, when sensors ...

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