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Title: Non Local Means based Speckle Filtering using Bayesian Framework
Page Link: Non Local Means based Speckle Filtering using Bayesian Framework -
Posted By: Black
Created at: Sunday 29th of August 2010 11:43:18 PM
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Myself BLACK,doing my Engineering final year in PSP college.For my final year project i am working Medical image processing field.Now i want ideas regarding the article Non local means speckle filtering of ultrasound images using Bayesian framework.I have attached the abstract of the project.

Abstract”In image processing, restoration is expected to improve
the qualitative inspection of the image and the performance
of quantitative image analysis techniques. In this paper, an adaptation
of the nonlocal (NL)-means filter is propos ....etc

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Title: Dynamic Security Risk Management Using Bayesian Attack Graphs
Page Link: Dynamic Security Risk Management Using Bayesian Attack Graphs -
Posted By: Projects9
Created at: Friday 20th of January 2012 08:27:47 PM
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Abstract—Security risk assessment and mitigation are two vital processes that need to be executed to maintain a productive IT infrastructure. On one hand, models such as attack graphs and attack trees have been proposed to assess the cause-consequence relationships between various network states, while on the other hand, different decision problems have been explored to identify the minimum-cost hardening measures. However, these risk models do not help reason about the causal dependencies between network states. Further, the optimization for ....etc

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Title: HybridScheduling of Dynamic Task Graphs with Selective Duplication for Multiprocessor
Page Link: HybridScheduling of Dynamic Task Graphs with Selective Duplication for Multiprocessor -
Posted By: project topics
Created at: Monday 02nd of May 2011 12:33:29 PM
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Hybrid Scheduling of Dynamic Task Graphs with Selective Duplication for Multiprocessors under Memory and Time Constraints
ABSTRACT

This paper presents a hybrid scheduling methodology for task graphs to multiprocessor embedded systems. The proposed methodology is designed for task graphs which are dynamic in nature due to the presence of conditional tasks as well as tasks whose execution times are unpredictable but bounded. We have presented the methodology as a three phase strategy in which task nodes are mapped to the processors in t ....etc

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Title: Sparse Bayesian Learning Of Filters For Efficient Image Expansion
Page Link: Sparse Bayesian Learning Of Filters For Efficient Image Expansion -
Posted By: project topics
Created at: Thursday 28th of April 2011 09:15:10 PM
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Sparse Bayesian Learning Of Filters For Efficient Image Expansion

– Image Processing- Dotnet

We propose a framework for expanding a given image using an interpolator that is trained in advance with training data, based on sparse Bayesian estimation for determining the optimal and compact support for efficient image expansion. Experiments on test data show that learned interpolators are compact yet superior to classical ones. ....etc

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Title: Online Scheduling of Dynamic Task Graphs with Communication and Contention for Multip
Page Link: Online Scheduling of Dynamic Task Graphs with Communication and Contention for Multip -
Posted By: Projects9
Created at: Monday 23rd of January 2012 07:33:00 PM
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Abstract—This paper presents an online scheduling methodology for task graphs with communication edges for multiprocessor embedded systems. The proposed methodology is designed for task graphs which are dynamic in nature either due to the presence of conditional paths or due to presence of tasks whose execution times vary. We have assumed homogeneous processors with broadcast and point-to-point communication models and have presented online algorithms for them. We show that this technique adapts better to variation in task graphs at runtime a ....etc

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Title: power point presentation on risk aware mitigation for manet routing attack
Page Link: power point presentation on risk aware mitigation for manet routing attack -
Posted By:
Created at: Monday 06th of August 2012 10:45:03 PM
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please help me to find out the ppt. regarding risk aware mitigation for MANET routing attacks ....etc

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Title: Bayesian Networks
Page Link: Bayesian Networks -
Posted By: seminar projects crazy
Created at: Saturday 13th of June 2009 05:27:41 PM
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Bayesian Networks are becoming an increasingly important area for research and application in the entire field of Artificial Intelligence. This paper explores the nature and implications for Bayesian Networks beginning with an n overview and comparison of inferential statistics and Bayesâ„¢ theorem. The nature, relevance and applicability for Bayesian Network theories for advanced computability form the core of the current discussion.

A number of current applications using Bayesian networks are examined. The paper concludes with a brief ....etc

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Title: Bayesian Networks
Page Link: Bayesian Networks -
Posted By: computer science crazy
Created at: Tuesday 24th of February 2009 03:50:53 AM
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Bayesian Networks are becoming an increasingly important area for research and application in the entire field of Artificial Intelligence. This paper explores the nature and implications for Bayesian Networks beginning with an n overview and comparison of inferential statistics and Bayesâ„¢ theorem. The nature, relevance and applicability for Bayesian Network theories for advanced computability form the core of the current discussion. A number of current applications using Bayesian networks are examined. The paper concludes with a brief des ....etc

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Title: CONNECTIVITY FOR DYNAMIC RANDOM GEOMETRIC GRAPHS
Page Link: CONNECTIVITY FOR DYNAMIC RANDOM GEOMETRIC GRAPHS -
Posted By: seminar addict
Created at: Tuesday 07th of February 2012 04:04:57 PM
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CONNECTIVITY FOR DYNAMIC RANDOM GEOMETRIC GRAPHS

ABSTRACT:

We provide the first rigorous analytical results for the connectivity of dynamic random geometric graphs a model for mobile wireless networks in which vertices move in random directions in the unit torus. We provide precise asymptotic results for the expected length of the connectivity and disconnectivity periods of the network. We believe that the formal tools developed in this work could be extended t ....etc

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Title: Fault-Tolerant and Bayesian Approaches to Self-Organizing Neural Networks
Page Link: Fault-Tolerant and Bayesian Approaches to Self-Organizing Neural Networks -
Posted By: seminar class
Created at: Monday 09th of May 2011 02:16:16 PM
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ABSTRACT :
Heterogeneous types of gene expressions may provide a better insight into the biological role of gene interaction with the environment, disease development and drug effect at the molecular level. In this paper for both exploring and prediction
purposes a Time Lagged Recurrent Neural Network with trajectory learning is proposed for identifying and classifying the gene functional patterns from the heterogeneous nonlinear time series microarray experiments. The pr ....etc

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