View Seminar Video Abstract In this talk I’ll outline current work at the University of Edinburgh to model machine translation (MT) as a probabilistic machine learning problem.Although MT systems have made large gains in translation[…]
View Seminar Video Abstract Speech production involves coordinated processing in many regions of the brain. To better understand these processes, our laboratory has designed, tested, and refined a neural network model whose components correspond to[…]
View Seminar Video Abstract This talk describes three recent models of how the brain visually understands the world. The models use hierarchical and parallel processes within and across the What and Where cortical streams to[…]
View Seminar Video Abstract Via four applications: distribution modeling, probability estimation, data compression, and classification, we argue that when learning from data, discrete values should be ignored except for just their appearance-order pattern. Along the[…]
View Seminar Video Abstract Several optimization techniques are vastly used today in the speech and language community for estimating model parameters. The Extended Baum-Welch (EBW) is one such technique that is extensively used for estimating[…]
Abstract Considering the adversity of the conditions under which linguistic communication takes place in everyday life — ambiguity of the signal, environmental competition for our attention, speaker error, our limited memory, and so forth —[…]
Abstract Simple, inexpensive sensors, including RFID-based object touch sensors, GPS location sensors, and cell-phone quality accelerometers, can be used to detect and distinguish a wide range of human activities with surprisingly high accuracy. I will[…]
