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Neural computing for data recovery

2007 International Joint Conference on Neural Networks, 2007
This paper presents binary threshold networks to recover regularized LS estimates from degraded images. The binary networks consist of nonlinear processing elements configured to optimize the objective function. The optimization takes place at the bit-level on partitions of these networks. Update procedures and algorithms are outlined.
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Data recovery in Forensics

2017 International Conference on Computing and Communication Technologies for Smart Nation (IC3TSN), 2017
In today's world, Cyber Security and Forensics are in great demand in this data recovery plays an important role. In certain scenarios, the data storage devices could be destroyed or damaged by the convict and this is where data recovery comes in to play and recover data from these artifacts.
Shashank Tomer   +4 more
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On the Bayesian Analysis of Ring‐Recovery Data

Biometrics, 2000
Summary.Vounatsou and Smith (1995,Biometrics51, 687–708) describe the modern Bayesian analysis of ring‐recovery data. Here we discuss and extend their work. We draw different conclusions from two major data analyses. We emphasize the extreme sensitivity of certain parameter estimates to the choice of prior distribution and conclude that naive use of ...
S P, Brooks   +3 more
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Recovery of Data Dependencies

2005
Today, many companies have to deal with problems in maintaining legacy database applications, which were developed on old database technology. These applications are getting harder and harder to maintain. Reengineering is an important means to address the problems and to upgrade the applications to newer technology (Hainaut, Englebert, Henrard, Hick, J.
Hee Beng Kuan Tan, Yuan Zhao
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Self-taught recovery of depth data

2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2015
Depth data captured by Kinect provides inexpensive geometric information to higher level computer vision tasks such as object detection and recognition. However, there are missing values in the depth map at object boundaries and those beyond the working distance of Kinect due to the limitations of the hardware employed.
Pan Yang 0004   +3 more
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Integrated Recovery/Recapture Data Analysis

Biometrics, 1998
Summary: The integration of recovery and recapture data, providing information on the same individuals, is important for the stable fitting of a wide range of stochastic models, resulting in more realistic estimates of survival probabilities of wild animals than when either the recovery or recapture data are used separately.
Catchpole, E. A.   +3 more
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The Data Recovery Service in NoSQL

2022 IEEE International Conference on Big Data (Big Data), 2022
Chia-Ping Tsai   +2 more
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Data recovery in IBM Database 2

IBM Systems Journal, 1984
This paper presents the various forms of data recovery provided by IBM Database 2 (DB2). It describes the DB2 recovery log, introduces the notion of a unit of recovery, and discusses the two-phase commit protocol used by DB2. Furthermore, it describes what type of information is logged, the DB2 checkpoint process, what a compensation log record is, and
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Instant recovery for data center savings

ACM SIGMOD Record, 2015
Today's data centers routinely employ triple redundancy, i.e., each disk page of a database or of a key value store is stored three times (or even more, e.g., in database and file system backups). In contrast, writeahead logging can reduce the cost of database operations and of data centers, assuming suitable techniques for logging, log archiving ...
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Design recovery with data mining techniques

1998
In this paper, we discuss preliminary research and potential benefits of applying data mining techniques to the design recovery problem. This approach to design recovery derives from the observation that data mining can discover unsuspected non-trivial relationships among elements in large databases.
Carlos Montes de Oca, Doris L. Carver
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