In this paper, we propose a robust model selection criterion for mixtures of subspaces called minimum effective dimension (MED). Previous information-theoretic model selection cri...
Temporal restoration of image sequences may fail because of erroneously estimated motion. Motion estimation failures may occur for several reasons: complicated motion, severe arte...
Andrei Rares, Marcel J. T. Reinders, Reginald L. L...
In this paper, we survey the current state-ofart models for structured learning problems, including Hidden Markov Model (HMM), Conditional Random Fields (CRF), Averaged Perceptron...
The similarity join is an important database primitive which has been successfully applied to speed up applications such as similarity search, data analysis and data mining. The s...
Although iterative reconstruction techniques (IRTs) have been shown to produce images of superior quality over conventional filtered back projection (FBP) based algorithms, the u...
Byunghyun Jang, David R. Kaeli, Synho Do, Homer H....