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» Sensitivity Analysis of Markovian Models
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CVIU
2007
193views more  CVIU 2007»
13 years 9 months ago
Interpretation of complex scenes using dynamic tree-structure Bayesian networks
This paper addresses the problem of object detection and recognition in complex scenes, where objects are partially occluded. The approach presented herein is based on the hypothe...
Sinisa Todorovic, Michael C. Nechyba
IJCAI
2003
13 years 10 months ago
Gaussian Process Models of Spatial Aggregation Algorithms
Multi-level spatial aggregates are important for data mining in a variety of scientific and engineering applications, from analysis of weather data (aggregating temperature and p...
Naren Ramakrishnan, Christopher Bailey-Kellogg
ICPPW
2002
IEEE
14 years 2 months ago
A Structural Framework for Modeling Multi-Stage Network Attacks
Incidents such as Solar Sunrise and Nimda demonstrate the need to expressively model distributed and complex network attacks. To protect information systems, system administrators...
Kristopher Daley, Ryan Larson, Jerald Dawkins
BMCBI
2005
152views more  BMCBI 2005»
13 years 9 months ago
Improved profile HMM performance by assessment of critical algorithmic features in SAM and HMMER
Background: Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling ar...
Markus Wistrand, Erik L. L. Sonnhammer
ISSRE
2010
IEEE
13 years 7 months ago
A Large-Scale Industrial Case Study on Architecture-Based Software Reliability Analysis
—Architecture-based software reliability analysis methods shall help software architects to identify critical software components and to quantify their influence on the system r...
Heiko Koziolek, Bastian Schlich, Carlos G. Bilich