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data mining Clustering classification machine learning Classification Security security clustering simulation neural networks Data mining Neural networks XML Ontology Data Mining

Year Published

 

1900 2011

Country

( see all 166)

  • United States 68551 (%)
  • Germany 38154 (%)
  • United Kingdom 26937 (%)
  • China 24914 (%)
  • France 22826 (%)

Institution

( see all 168856)

  • University of California 2827 (%)
  • Carnegie Mellon University 1912 (%)
  • Tsinghua University 1433 (%)
  • Chinese Academy of Sciences 1427 (%)
  • Stanford University 1380 (%)

Author

( see all 331320)

  • MacDonald, Matthew 539 (%)
  • Troelsen, Andrew 205 (%)
  • Yung, Moti 199 (%)
  • Gilmore, W. Jason 194 (%)
  • Wang, Wei 192 (%)

Publication

( see all 6285)

  • Computer Science and Communications Dictionary 21377 (%)
  • Encyclopedia of Database Systems 3068 (%)
  • Scientometrics 2951 (%)
  • Knowledge-Based Intelligent Information and Engineering Systems 2892 (%)
  • Automata, Languages and Programming 2459 (%)

Publication Type


  • Book 337871 (%)
  • Journal 51097 (%)

Publisher


  • Springer 388968 (%)

Subject

( see all 344)

  • Computer Science [x] 388968 (%)
  • Artificial Intelligence (incl. Robotics) 139232 (%)
  • Computer Communication Networks 113913 (%)
  • Information Systems Applications (incl.Internet) 85373 (%)
  • Algorithm Analysis and Problem Complexity 71590 (%)

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  • 388968 Articles
  • 331320 Authors
  • 168856 Institutions
  • 6285 Publications

Showing 1 to 10 of 388968 matching Articles Results per page:


Probabilistic Model Checking of Biological Systems with Uncertain Kinetic Rates

Reachability Problems (2009) 5797: 64-78, January 01, 2009

By  Barbuti, Roberto; Levi, Francesca; Milazzo, Paolo; Scatena, Guido Show all (4)

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We present an abstraction of the probabilistic semantics of Multiset Rewriting to formally express systems of reactions with uncertain kinetic rates. This allows biological systems modelling when the exact rates are not known, but are supposed to lie in some intervals. On these (abstract) models we perform probabilistic model checking obtaining lower and upper bounds for the probabilities of reaching states satisfying given properties. These bounds are under- and over-approximations, respectively, of the probabilities one would obtain by verifying the models with exact kinetic rates belonging to the intervals.

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Back Matter - Classification and Learning Using Genetic Algorithms

Classification and Learning Using Genetic Algorithms (2007), January 01, 2007

By  Bandyopadhyay, Sanghamitra; Pal, Sankar K.


No abstract available

Email Security Awareness — a Practical Assessment of Employee Behaviour

Fifth World Conference on Information Security Education (2007) 237: 33-40, January 01, 2007

By  Kruger, Hennie; Drevin, Lynette; Steyn, Tjaart

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Email communication is growing as a main method for individuals and organizations to communicate. Sadly, this is also an emerging means of conducting crime in the cyber world, e.g. identity theft, virus attacks etc. The need for improving awareness to these threats amongst employees is evident in media reports. Information security is as much a people issue as a technology one. This paper presents a description and results of an email awareness experiment that was performed amongst staff from a South African university. It is shown how management can use these results to focus and improve ICT awareness.

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A HMM-Based Approach to Recognize Ultra Low Resolution Anti-Aliased Words

Pattern Recognition and Machine Intelligence (2007) 4815: 511-518, January 01, 2007

By  Einsele, Farshideh; Ingold, Rolf; Hennebert, Jean

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In this paper, we present a HMM based system that is used to recognize ultra low resolution text such as those frequently embedded in images available on the web. We propose a system that takes specifically the challenges of recognizing text in ultra low resolution images into account. In addition to this, we show in this paper that word models can be advantageously built connecting together sub-HMM-character models and inter-character state. Finally we report on the promising performance of the system using HMM topologies which have been improved to take into account the presupposed minimum length of each character.

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Front Matter - Intelligent Decision-making Support Systems

Intelligent Decision-making Support Systems (2006), January 01, 2006

By  Gupta, Jatinder N. D.; Forgionne, Guisseppi A.; Mora T., Manuel


No abstract available

Temporal Integrity Constraints

Encyclopedia of Database Systems (2009): 2976-2982, January 01, 2009

By  Wijsen, Jef

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No abstract available

Enforcing Regional DRM for Multimedia Broadcasts With and Without Trusted Computing

Digital Rights Management. Technologies, Issues, Challenges and Systems (2006) 3919: 332-340, January 01, 2006

By  Greveler, Ulrich

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We present the problem of enforcing a Digital Rights Management (DRM) system that needs to consider location-dependent licensing policies and operates on top of existing conditional access standards. A major application for location-dependent DRM is Pay-TV broadcasting as rightsholders require different business models in different regions. A global provider’s enduser equipment needs to validate the user location in some way in order to enforce DRM in this scenario. We will depict several solutions to the problem and compare their security qualities. The main result is that trusted computing hardware may not be the most appropriate solution given reasonable conditions.

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Digital Watermarking under a Filtering and Additive Noise Attack Condition

Computer Network Security (2003) 2776: 371-382, January 01, 2003

By  Korzhik, Valery; Morales-Luna, Guillermo; Marakova, Irina; Patiño-Ruvalcaba, Carlos Show all (4)

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We consider a private zero-bit watermark (WM) system in which an unauthorized removal of the WM is restricted by a linear filtering of the watermarked message combined with additive noise attack. It is assumed that a WM detector knows both the original cover message (CM) and the pulse (or frequency) response of the attack filter. The formulas to calculate the WM-missing and WM-false alarm probabilities are developed and proved. We conclude that whenever some filtering of the watermarked message is yet acceptable with respect to CM quality then there results in a degradation of the WM system even if the designer of the WM uses an optimal signal. This fact is different than most that can be found at current WM literature. The main properties of a WM system under a filtering and additive noise attack condition are confirmed by simulations of the watermarked images.

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Efficient Fixed-Size Systolic Arrays for the Modular Multiplication

Computing and Combinatorics (1999) 1627: 442-451, January 01, 1999

By  Lee, Sung-Woo; Kim, Hyun-Sung; Kim, Jung-Joon; Kim, Tae-Geun; Yoo, Kee-Young Show all (5)

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In this paper, we present an efficient fixed-size systolic array for Montgomery's modular multiplication. The array is designed by the LPGS (Locally Parallel Globally Sequential) partition method [14] and can perform efficiently modular multiplication for the input data with arbitrary bits. Also, we address a computation pipelining technique, which improves the throughput and minimizes the buffer size used. With the analysis of VHDL simulation, we discuss a gap between a theoretical optimal number of partition and an empirical one.

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Dynamic Scene Reconstruction for 3D Virtual Guidance

Knowledge-Based Intelligent Information and Engineering Systems (2006) 4252: 179-186, January 01, 2006

By  Calbi, Alessandro; Marcenaro, Lucio; Regazzoni, Carlo S.

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In this paper a system is presented able to reproduce the actions of multiple moving objects into a 3D model. A multi-camera system is used for automatically detect, track and classify the objects. Data fusion from multiple sensors allows to get a more precise estimation of the position of detected moving objects and to solve occlusions problem. These data are then used to automatically place and animate objects avatars in a 3D virtual model of the scene, thus allowing users connected to this system to receive a 3D guide into the monitored environment.

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