f11Stat946presentation: Difference between revisions

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|Just an example || Ali Ghodsi||How to Build a Bird House: The Right Way||[http://www.the-scoop-on-wild-birds-and-feeders.com/howtobuildabirdhouse.html]
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|Nov 15 (Presentation 1)|| Azin Ashkan || A Dynamic Bayesian Network Click Model for Web Search Ranking || [http://olivier.chapelle.cc/pub/DBN_www2009.pdf]||[[A Dynamic Bayesian Network Click Model for Web Search Ranking|Summary]]
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|Nov 15 (Presentation 1)||  || ||
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|Nov 15 (Presentation 2)|| Keyvan Golestan || Decentralised Data Fusion: A Graphical Model Approach || [http://isif.org/fusion/proceedings/fusion09CD/data/papers/0280.pdf]||[[Decentralised Data Fusion: A Graphical Model Approach (Summary)|Summary]]
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|Nov 15 (Presentation 2)||  || ||
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|Nov 17 (Presentation 1)|| Venkata Manem || Quantifying cancer progression with conjunctive Bayesian networks.|| [http://bioinformatics.oxfordjournals.org/content/25/21/2809.full.pdf] || [[Quantifying cancer progression with conjunctive Bayesian networks.|Summary]]
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|Nov 17 (Presentation 1)||  || ||
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|Nov 17 (Presentation 2)||  Mohammad Rostami ||Compressed Sensing Reconstruction via Belief Propagation ||[http://dsp.rice.edu/sites/dsp.rice.edu/files/cs/csbpTR07142006.pdf]|| [[Compressed Sensing Reconstruction via Belief Propagation|Summary]]
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|Nov 17 (Presentation 2)||  || ||
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|Nov 22 (Presentation 1)|| Mazen A. Melibari ||An HDP-HMM for Systems with State Persistence|| [http://www.cs.brown.edu/~sudderth/papers/icml08.pdf]
|| [[An HDP-HMM for Systems with State Persistence|Summary]]
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|Nov 22 (Presentation 1)||Areej Alhothali  || ||
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|Nov 22 (Presentation 2)||Tameem Adel|| Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Sub-cellular Location Patterns || [http://jmlr.csail.mit.edu/papers/volume9/chen08a/chen08a.pdf] || [[Graphical models for structured classification, with an application to interpreting images of protein subcellular location patterns|Summary]]
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|Nov 22 (Presentation 2)||Tameem Adel||  || ||
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|Nov 24 (Presentation 1)|| Pouria Fewzee || Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis || [http://mi.eng.cam.ac.uk/~ky219/papers/yu-is10.pdf] || [[Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis|Summary]]
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|Nov 24 (Presentation 1)|| Pouria Fewzee ||  ||
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|Nov 24 (Presentation 2)|| Ali-Akbar Samadani ||Incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains || [http://ijr.sagepub.com/content/27/7/761.abstract]||[[Incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary)|Summary]]
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|Nov 24 (Presentation 2)|| Ali-Akbar Samadani || ||
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|Nov 29 (Presentation 1)||Hojatollah Yeganeh ||Markov Random Fields for Super-Resolution ||[http://www.merl.com/reports/docs/TR2000-08.pdf]||[[Markov Random Fields for Super-Resolution|Summary]]
|Nov 29 (Presentation 1)||Mehrdad Gangeh|| ||
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|Nov 29 (Presentation 2)||Noha Elprince || ||
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|Nov 29 (Presentation 2)||Areej Alhothali || Video-based face recognition using adaptive hidden markov models||[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1211373]||[[Video-based face recognition using Adaptive HMM|Summary]]
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Latest revision as of 08:45, 30 August 2017

Sign up for your presentation in the following table. Chose a date between Nov 15 and Dec 1 (inclusive). You just need to sign up your name at the moment. When you chose the paper that you would like to present, add its title and a link to the paper.


Date Speaker Title Link Summary
Nov 15 (Presentation 1) Azin Ashkan A Dynamic Bayesian Network Click Model for Web Search Ranking [1] Summary
Nov 15 (Presentation 2) Keyvan Golestan Decentralised Data Fusion: A Graphical Model Approach [2] Summary
Nov 17 (Presentation 1) Venkata Manem Quantifying cancer progression with conjunctive Bayesian networks. [3] Summary
Nov 17 (Presentation 2) Mohammad Rostami Compressed Sensing Reconstruction via Belief Propagation [4] Summary
Nov 22 (Presentation 1) Mazen A. Melibari An HDP-HMM for Systems with State Persistence [5] Summary
Nov 22 (Presentation 2) Tameem Adel Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Sub-cellular Location Patterns [6] Summary
Nov 24 (Presentation 1) Pouria Fewzee Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis [7] Summary
Nov 24 (Presentation 2) Ali-Akbar Samadani Incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains [8] Summary
Nov 29 (Presentation 1) Hojatollah Yeganeh Markov Random Fields for Super-Resolution [9] Summary
Nov 29 (Presentation 2) Areej Alhothali Video-based face recognition using adaptive hidden markov models [10] Summary
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