[1] P. Kuksa and V. Pavlovic. "Efficient evaluation of large sequence kernels". Proc. ACM SIGKDD Conf. Knowledge Discovery and Data Mining (KDD). 2012.
[2] P. Kuksa, I. Khan and V. Pavlovic. "Generalized Similarity Kernels for Efficient Sequence Classification". Proc. SIAM International Conference on Data Mining (SDM). 2012.
[3] M. A. Nicolaou, V. Pavlovic and M. Pantic. "Dynamic Probabilistic CCA for Analysis of Affective Behaviour". Proc. European Conference on Computer Vision (ECCV). 2012.
[4] O. Rudovic, V. Pavlovic and M. Pantic. "Multi-output Laplacian Dynamic Ordinal Regression for Facial Expression Recognition and Intensity Estimation". Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR). 2012.
[5] O. Rudovic, V. Pavlovic and M. Pantic. "Kernel Conditional Ordinal Random Fields for Temporal Segmentation of Facial Action Units". ECCV 2012 Workshop "What's in a Face?". 2012.
[6] S. Yoon and V. Pavlovic. "Distributed Probabilistic Learning for Camera Networks". Rutgers. Tech. Rep. DCS-TR-696. 2012.
[7] J. Kim and V. Pavlovic. "Attribute Rating for Classification of Visual Objects". Proc. International Conference on Pattern Recognition (ICPR). 2012.
[8] S. Yi and V. Pavlovic. "Sparse Granger Causality Graphs for Human Action Classification". Proc. International Conference on Pattern Recognition (ICPR). 2012.
[9] W. Yan, X. Han and V. Pavlovic. "Structured Learning for Multiple Object Tracking". British Machine Vision Conference. 2012.
[10] S. Yoon and V. Pavlovic. "Distributed Probabilistic Learning for Camera Networks with Missing Data". Neural Information Processing Systems (NIPS). 2012.
Last Updated on Wednesday, 12 September 2012 15:05
