While scanning pages from a thick, bound book, there are two sources of distortion in the document images: 1) shade along the book `spine', and 2) warping of the book surface...
We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...
A significant challenge in developing planning systems for practical applications is the difficulty of acquiring the domain knowledge needed by such systems. One method for acquir...
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
Informal analysis of many usability tests suggests that there is regularly one participant that is substantially slower than all the others. Moreover, such outliers are more extre...