Cvss summer2013

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

Date	Discussion Leader	Title
July 3	Jason Filippou	Probabilistic Event Calculus based on Markov Logic Networks. Skarlatidis et al., RuleML '11 (Slides) Event Modeling and Recognition using Markov Logic Networks. Tran and Davis, ECCV '08 A Probabilistic Logic Programming Event Calculus. Skarlatidis et al., TPLP '14
July 11	David Shaw	Graphical Models. Jordan, StatSci '04 Nonparametric Belief Propagation. Sudderth et al., Commun. ACM '10
July 18	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 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