Multiframe super-resolution (SR) reconstruction of small moving objects against a cluttered background is difficult for two reasons: a small object consists completely of "mix...
Adam W. M. van Eekeren, Klamer Schutte, Lucas J. v...
We present an algorithm for pronounanaphora (in English) that uses Expectation Maximization (EM) to learn virtually all of its parameters in an unsupervised fashion. While EM freq...
Abstract. This work presents a constraint solver for the domain of rational trees. Since the problem is NP-hard the strategy used by the solver is to reduce as much as possible, in...
Abstract. This paper proposes a regression-based method for singleimage super-resolution. Kernel ridge regression (KRR) is used to estimate the high-frequency details of the underl...
Abstract. We have built a realistic computational model of the cerebellum. This model simulates the cerebellar cortex of the size 0.5mm×1mm consisting of several types of neurons,...