View source for Cvss summer2013

CVSS was held as a journal club on Thursdays at 4pm in AVW 4424.

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|-
! Date
! Discussion Leader
! Title
|-
| July 3
| [http://www.cs.umd.edu/~jasonfil/ Jason Filippou]
| Probabilistic Event Calculus based on Markov Logic Networks. Skarlatidis et al., RuleML '11 ([http://www.cs.umd.edu/~jasonfil/files/cvss_07_03.pdf Slides])
Event Modeling and Recognition using Markov Logic Networks. Tran and Davis, ECCV '08<br/>
A Probabilistic Logic Programming Event Calculus. Skarlatidis et al., TPLP '14
|-
| July 11
| [http://www2.math.umd.edu/~dshaw3/ David Shaw]
| Graphical Models. Jordan, StatSci '04
Nonparametric Belief Propagation. Sudderth et al.,  Commun. ACM '10
|-
| July 18
| [http://www.umiacs.umd.edu/~sameh/ Sameh Khamis]
| Coupling Detection and Data Association for Multiple Object Tracking. Wu et al, CVPR '12
Discrete-Continuous Optimization for Multi-Target Tracking. Andriyenko et al, CVPR '12<br/>
Multi-target Tracking by Lagrangian Relaxation to Min-Cost Network Flow. Butt and Collins, CVPR '13

|-
| July 25
| ''No Meeting''
| 
|-
| August 1
| Raviteja Vemulapalli
| Structured Learning and Prediction in Computer Vision. Nowozin and Lampert, now publishers '11 (Chapter 6)
Kernelized Structural SVM Learning for Supervised Object Segmentation. Bertelli et al, CVPR '11
|-
| August 8
| Varun Nagaraja
| Fixing Max-Product: Convergent Message Passing  Algorithms for MAP LP-Relaxations. Globerson and Jaakkola, NIPS '07
Tightening LP Relaxations for MAP using Message Passing. Sontag et al, UAI '08
|-
| August 15
| Le Kang
| Gradient-Based Learning Applied to Document Recognition. LeCun et al, IEEE '98
Tutorial on Implementing a Convolutional Neural Network with Theano.
|-
| August 22
| Varun Manjunatha
| Learning Deep Architectures for AI. Bengio, now publishers '09
|}