Browsing by Author "Liao, X"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Open Access Adaptive temporal compressive sensing for video(2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings, 2013-12-01) Yuan, X; Yang, J; Llull, P; Liao, X; Sapiro, G; Brady, DJ; Carin, LThis paper introduces the concept of adaptive temporal compressive sensing (CS) for video. We propose a CS algorithm to adapt the compression ratio based on the scene's temporal complexity, computed from the compressed data, without compromising the quality of the reconstructed video. The temporal adaptivity is manifested by manipulating the integration time of the camera, opening the possibility to realtime implementation. The proposed algorithm is a generalized temporal CS approach that can be incorporated with a diverse set of existing hardware systems. © 2013 IEEE.Item Open Access Cross-Domain Multitask Learning with Latent Probit ModelsHan, S; Liao, X; Carin, LLearning multiple tasks across heterogeneous domains is a challenging problem since the feature space may not be the same for different tasks. We assume the data in multiple tasks are generated from a latent common domain via sparse domain transforms and propose a latent probit model (LPM) to jointly learn the domain transforms, and the shared probit classifier in the common domain. To learn meaningful task relatedness and avoid over-fitting in classification, we introduce sparsity in the domain transforms matrices, as well as in the common classifier. We derive theoretical bounds for the estimation error of the classifier in terms of the sparsity of domain transforms. An expectation-maximization algorithm is derived for learning the LPM. The effectiveness of the approach is demonstrated on several real datasets.