f11Stat946presentation: Difference between revisions

From statwiki
Jump to navigation Jump to search
No edit summary
No edit summary
Line 36: Line 36:
|-
|-
|-
|-
|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]
|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]
|-
|-
|-
|-

Revision as of 22:06, 21 November 2011

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