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Coordination languages and their significance

David Gelernter, Nicholas Carriero
1992 Communications of the ACM  
ACkOOWledgeIUWS The authors thank Paolo Ciancarini, Mark Day, Suresh Jagan-"atha", Steven Lucco, Thomas Malone and Ross Overbeek for illuminating comments about the ideas in this article. q References  ...  Its database manipulation component is computationally expensive for large databases, and is now being parallelized.  ...  Consider two active research proj-ects in our group, one dealing with realtime data fusion (the trellis [12, 14] ), the other with expert databases (the FGP machine [13, 171) .  ... 
doi:10.1145/129630.129635 fatcat:uwn27zfh2bcvvd2k3jcgt2fuvy

An introduction to voice search

Ye-Yi Wang, Dong Yu, Yun-Cheng Ju, A. Acero
2008 IEEE Signal Processing Magazine  
speech applications in the 1980s are not considered as SDSs in this categorization).  ...  The information normally exists in a large database, and the query has to be compared with a field in the database to obtain the relevant information.  ...  In [18] , a uniform distribution over all plausible insertions was used instead for p(δ w |η w ) due to the lack of data. p(A|τ w ) in the decision rule can be obtained from the acoustic model with all  ... 
doi:10.1109/msp.2008.918411 fatcat:7h5rrhjytjcdliibeksnjpewpa

A Model for Structure-Based Comparison of Many Categories in Small-Multiple Displays

Johannes Kehrer, Harald Piringer, Wolfgang Berger, M. Eduard Groller
2013 IEEE Transactions on Visualization and Computer Graphics  
In this paper, we present a formal model for defining semantically meaningful comparisons between many categories in a small-multiple display.  ...  Index Terms-Comparative visualization, small-multiple displays, Trellis displays, categorical data. • J. Kehrer is with the VRVis  ...  Pobitzer for his help with respect to the formal description of our model. We are indebted to O.  ... 
doi:10.1109/tvcg.2013.122 pmid:24051795 fatcat:5c6cxporfzgizo6p3ltczi3uyu

Object-oriented databases: design and implementation

J.V. Joseph, S.M. Thatte, C.W. Thompson, D.L. Wells
1991 Proceedings of the IEEE  
These needy cannot be met with conventional database systems. which have been developed primarily for business and jnanciul applications.  ...  Object-oriented database systems aim at meeting the data modeling, performance, cooperative design, and version management requirements of nexi-generation applications, such as CAD, CAM.  ...  Many of the ideas presented in this paper came out of discussions with the Zeitgeist OODB project members, as well as feedback received from Zeitgeist users within Texas Instruments.  ... 
doi:10.1109/5.64382 fatcat:i25xxjqpyjfihemxkuimzkejjm

Overlook: Differentially Private Exploratory Visualization for Big Data [article]

Pratiksha Thaker and Mihai Budiu and Parikshit Gopalan and Udi Wieder and Matei Zaharia
2020 arXiv   pre-print
The key idea in Overlook is a virtual synopsis that can be evaluated incrementally, without extra space storage or expensive precomputation.  ...  However, existing systems using synopses are built for offline use cases, where a set of queries is known ahead of time and the system carefully optimizes a synopsis for it.  ...  This can be visually presented as a heat map as in Figure 3 , or for example a trellis plot of 1-dimensional histograms.  ... 
arXiv:2006.12018v1 fatcat:w6ebbdjuancvjcrwoikyrkvb7y

Advanced Sound Manipulation In Interactive Multimedia Environments

Yannis Deliyiannis, Andreas Floros, Christos Tsakostas
2007 Proceedings of the SMC Conferences  
"MORENA" is essentially an adaptation of the "Trellis" model [9] . Both utilize a Petrinet based structure.  ...  This tool is employed to design a library system via a database-oriented environment. Other models/frameworks include MOBI-D [25] .  ... 
doi:10.5281/zenodo.849381 fatcat:zve6dusqhbasbelad7wfc7eca4

Voice Conversion [chapter]

Jani Nurminen, Hanna Siln, Victor Popa, Elina Helander, Moncef Gabbouj
2012 Speech Enhancement, Modeling and Recognition- Algorithms and Applications  
To pool acoustically similar models and to provide a prediction mechanism for labels not seen in the training data, decision tree clustering using a set of binary questions and the minimum description  ...  Speech conveys a variety of information that can be categorized, for example, into linguistic and nonlinguistic information.  ...  Voice Conversion, Speech Enhancement, Modeling and Recognition-Algorithms and Applications, Dr.  ... 
doi:10.5772/37334 fatcat:2hgxvblj4rccvasfudopppuiau

PHY-Layer Authentication Using Duobinary Signaling for Spectrum Enforcement

Vireshwar Kumar, Jung-Min Jerry Park, Kaigui Bian
2016 IEEE Transactions on Information Forensics and Security  
In this paper, we extend the Precoded Duobinary Signaling (P-DS) technique to devise a new PHY-layer authentication scheme called P-DS for Authentication (P-DSA).  ...  In existing schemes, the authentication signal is added to the message signal in such a way that the authentication signal appears as noise to the message signal and vice versa.  ...  Recall that trellis decoding makes a decision on the path reaching a particular state only if there are two or more paths reaching it.  ... 
doi:10.1109/tifs.2016.2516904 fatcat:p44iyl4asvhptpffjnuf5wdg3m

Fast Exact Hyper-graph Matching with Dynamic Programming for Spatio-temporal Data

Oya Çeliktutan, Christian Wolf, Bülent Sankur, Eric Lombardi
2014 Journal of Mathematical Imaging and Vision  
In this paper, we deal with the spatiotemporal data, for a concrete example, human actions in video sequences.  ...  An exact minimization algorithm is derived for this structure and  ...  To make this assignment more robust, we add deformation costs on in-frame triangles, which requires taking the decision jointly for all nodes of each model frame.  ... 
doi:10.1007/s10851-014-0503-6 fatcat:xh7yy4ivfjhkjjhluj62lltahu

Category Definitions [chapter]

Dean F. Sittig
2017 Clinical Informatics Literacy  
death in return for payment of an upfront premium.  ...  , and supporting decision-making.  ...  in their specific subject area.  ... 
doi:10.1016/b978-0-12-803206-0.00001-8 fatcat:ts57p4xi2nflrpo4j5jthqov4u

Data-Intensive Text Processing with MapReduce

Jimmy Lin, Chris Dyer
2010 Synthesis Lectures on Human Language Technologies  
tuple, and the S n after s n denotes other attributes in the tuple (unimportant for the purposes of the join).  ...  Machine learning is often categorized as either supervised or unsupervised.  ...  Since EM algorithms are relatively computationally expensive, even for small amounts of data, this led us to consider how related supervised learning models (which typically have much less training data  ... 
doi:10.2200/s00274ed1v01y201006hlt007 fatcat:daso2mcdvrg6jev3vbospnsvpe

Classification and Analysis of Communication Protection Policy Anomalies

Fulvio Valenza, Cataldo Basile, Daniele Canavese, Antonio Lioy
2017 IEEE/ACM Transactions on Networking  
This formal model has manageable computational complexity and its implementation has shown excellent performance and good scalability.  ...  Furthermore, this paper introduces a formal model, based on first-order logic rules that analyses the network topology and the security controls at each node to identify the detected anomalies and suggest  ...  In theory (and in our model too), S can be arbitrarily defined with any field, however, in practice, the fields in S are usually the well-known five tuple consisting of a source IP address (ip src ) and  ... 
doi:10.1109/tnet.2017.2708096 fatcat:2q6oknnrlfg6vdn7tujayipoke

MAP Clustering under the Gaussian Mixture Model via Mixed Integer Nonlinear Optimization [article]

Patrick Flaherty, Pitchaya Wiratchotisatian, Ji Ah Lee, Zhou Tang, Andrew C. Trapp
2020 arXiv   pre-print
We present a global optimization approach for solving the maximum a-posteriori (MAP) clustering problem under the Gaussian mixture model.Our approach can accommodate side constraints and it preserves the  ...  Generative model A generative model for the Gaussian mixture density function is Z i iid ∼ Categorical(π) for i = 1, . . . , n, Y i |z i , θ ∼ Gaussian(µ zi , Σ zi ), (1) where µ = (µ 1 , . . . , µ K )  ...  To generate data from the Gaussian mixture model, first draw z i ∈ {1, . . . , K} from a categorical distribution with parameter π.  ... 
arXiv:1911.04285v2 fatcat:svl7kad6qnc2xgch3i6aipbyjq

Semantic Frame-Based Spoken Language Understanding [chapter]

Ye-Yi Wang, Li Deng, Alex Acero
2011 Spoken Language Understanding  
It has been used in many speech language processing tasks, in particular the transactional dialog systems, where various pieces of information need to be collected from users.  ...  Semantic frame based spoken language understanding (frame-based SLU) is one of the most commonly applied and well studied SLU technology for human-computer interaction.  ...  Miller et al. (1996) employed the decision trees for classification.Putting it in a broad picture, Eq. (1.61) can be embeded in the following decision rule for utterance understanding in context:M = arg  ... 
doi:10.1002/9781119992691.ch3 fatcat:3cwoww7tnjez3dhhpvnyfzpmry

Time Granularity [chapter]

Jérôme Euzenat, Angelo Montanari
2005 Foundations of Artificial Intelligence  
Languages, layers, operators The distinctive features of a formal system for time granularity depend on some basic decisions about the way in which one models the relationships between the representations  ...  In the last part of the chapter, we describe some applications exploiting time granularity, and we briefly discuss related work in the areas of formal methods, temporal databases, and data mining.  ...  An extended temporal model is a relational database in which each tuple is timestamped under some granularity.  ... 
doi:10.1016/s1574-6526(05)80005-7 fatcat:jgytu4xfljdfdoso56gucfk2ya
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