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Sign up for your presentation in the following table. Put your name and a link to the paper that you are going to present. Chose a date between Nov 15 and Dec 1 (inclusive).
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.  




{| class="wikitable"
{| class="wikitable"


{| border="1" cellpadding="3"
{| border="1" cellpadding="5"
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|width="100pt"|Date
|width="200pt"|Date
|width="200pt"|Presentation (1)
|width="200pt"|Speaker
|width="200pt"|Presentation (2)
|width="700pt"|Title
|width="50pt"|Link
|width="50pt"|Summary
|-
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|Nov 16|| Sepideh Seifzadeh [http://www.cs.berkeley.edu/~jordan/papers/lacoste-sha-jordan-nips08.pdf] [[DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification|Summary]] || Manda Winlaw [http://www-stat.stanford.edu/~tibs/Correlate/pmd.pdf], [[A Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis|Summary]]
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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 18||Rahul [http://dsp.rice.edu/files/cs/baraniukCSlecture07.pdf][[Compressive Sensing| Summary]]||Fatemeh Dorri [http://www.cs.berkeley.edu/~jordan/papers/daspremont-siam-review.pdf],[[A Direct Formulation For Sparse PCA Using Semidefinite Programming|Summary]]
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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 23 || Pouria Fewzee ||Lisha Yu[http://books.nips.cc/papers/files/nips21/NIPS2008_0197.pdf][[Deflation_Methods_for_Sparse_PCA|Summary]]
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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 25 ||Laleh Ghoraie [http://arxiv.org/abs/0903.3131][[Matrix_Completion_with_Noise| Summary]] || Mehrdad Gangeh [http://pami.uwaterloo.ca/~mgangeh/SupervisedDictionaryLearning.pdf][[Supervised Dictionary Learning|Summary]]
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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 30 || Greg D'Cunha [http://www.stanford.edu/~hllee/icml07-selftaughtlearning.pdf] [[Self-Taught Learning| Summary]]|| Mohammad Derakhshani [http://faculty.washington.edu/mfazel/nucnorm_acc_final.pdf],
[[A Rank Minimization Heuristic with Application to Minimum Order System Approximation|Summary]]
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|Dec 2 || Yongpeng Sun [http://www.google.ca/url?sa=t&source=web&cd=1&ved=0CBUQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.76.5871%26rep%3Drep1%26type%3Dpdf&rct=j&q=%22Uncovering%20shared%20structures%20in%20multiclass%20classification.%22&ei=5We3TJTVOYH98Abi3czpCQ&usg=AFQjCNF6MSD0BNolGNe4z6d1RKeR7ZWJsw&sig2=B9YHZC8V9q6nIPa4vJKr-g&cad=rja] [http://www.wikicoursenote.com/wiki/Uncovering_Shared_Structures_in_Multiclass_Classification Summary] || Ryan Case [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.92.4570&rep=rep1&type=pdf] [[Compressive_Sensing_(Candes)|Summary]]
|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 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 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 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 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]]
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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 09:45, 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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