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Traffic Analysis of the HTTP Protocol Over TLS
White Paper A Hidden Markov Model is then presented that analyzes sequences of requests and finds the most plausible resources accessed. The paper analyzes attacks that take advantage of the data length information leaked by HTTP... [16 Sep 2009]
A Global Perspective on MAP Inference for Low-Level Vision
White Paper In recent years the Markov Random Field (MRF) has become the de facto probabilistic model for low-level vision applications. However, in a Maximum A Posteriori (MAP) framework, MRFs inherently encourage delta function... [16 Sep 2009]
Incorporating Site-Level Knowledge to Extract Structured Data From Web Forums
White Paper In contrast to most existing information extraction methods, which only lever-age the knowledge inside an individual page, the paper incorporates both page-level and site-level knowledge and employ Markov Logic Networks... [16 Sep 2009]
Piecewise Planar Stereo for Image-Based Rendering
White Paper Finally, a piecewise planar depth map is recovered for each image by solving a multi-label Markov Random Field (MRF) optimization problem using graph-cuts. This paper presents a novel multi-view stereo method designed... [16 Sep 2009]
Spam Filtering Using a Markov Random Field Model With Variable Weighting Schemas
White Paper This paper presents a Markov Random Field model based approach to filter spam. Their results demonstrate that unexpected side effects depending on the neighborhood window size may have larger accuracy impact than the... [01 Jul 2009]
Embedded Malware Detection Using Markov n-grams
White Paper To capture and leverage this correlation structure for embedded malware detection, they model the conditional distributions as Markov n-grams. Embedded malware is a recently discovered security threat that allows malcode... [20 Jun 2009]
A Malware Detector Placement Game for Intrusion Detection
White Paper Assuming rational and intelligent attackers, they present a two-person zero-sum non-cooperative Markov security game framework as a basis for modeling the interaction between the attackers who generate malware traffic on... [20 Jun 2009]
Demonstration of a POMDP Voice Dialer
White Paper This paper is a demonstration of a voice dialer, implemented as a Partially Observable Markov Decision Process (POMDP). A real-time graphical display shows the POMDP's probability distribution over different possible... [30 May 2009]
Applying POMDPs to Dialog Systems in the Troubleshooting Domain
White Paper This paper reports on progress applying Partially Observable Markov Decision Processes (POMDPs) to a commercial dialog domain: troubleshooting. In the troubleshooting domain, a spoken dialog system helps a user to fix a... [29 May 2009]
The Best of Both Worlds: Unifying Conventional Dialog Systems and POMDPs
White Paper Partially Observable Markov Decision Processes (POMDPs) and conventional design practices offer two very different but complementary approaches to building spoken dialog systems. Whereas conventional manual design... [29 May 2009]
Bayesian Modeling Using the MCMC Procedure
White Paper The procedure uses the Markov Chain Monte Carlo (MCMC) algorithm to draw samples from an arbitrary posterior distribution, which is defined by the prior distributions for the parameters and the likelihood function for... [29 May 2009]
Joint Optimization of Power Saving Mechanism in the IEEE 802.16e Mobile WiMAX
White Paper Prior work has shown that the proposed Markov Decision Process (MDP) approach can achieve the optimal performance in terms of energy consumption and packet delay through the optimal PSC selection. The IEEE 802.16e mobile... [23 Apr 2009]
Performance Analysis of Contention Based Medium Access Control Protocols
White Paper The method is based on a rigorous analysis of the Markov chain associated with the back-off process at the contending nodes. This paper studies the performance of contention based Medium Access Control (MAC) protocols. [01 Apr 2009]
Large Margin Hidden Markov Models for Automatic Speech Recognition
White Paper The paper studies the problem of parameter estimation in continuous density hidden Markov models (CD-HMMs) for Automatic Speech Recognition (ASR). Unlike earlier work on max-margin Markov networks, the... [13 Dec 2008]
Balancing Interruption Frequency and Buffering Penalties in VBR Video Streaming
White Paper The work discussed in this paper presents a novel analytical framework, which requires only a Markov Variable Bit Rate (VBR) channel model, to study the frequency of jitters under the constraint of initial playback... [22 Oct 2008]
