Contour inflections are adaptable features

Verb inflections in agrammatic aphasia: Encoding of tense features.

Across most languages, verbs produced by agrammatic aphasic individuals are frequently marked by syntactically and semantically inappropriate inflectional affixes, such as Last night, I walking home. As per language production models, verb inflection errors in English agrammatism could arise from three potential sources: encoding the verbs' morphology based on temporal information at the concep...

Biologically Motivated Edge Localization and Contour Integration - Adaptable Relaxation Approach

The paper describes edge localization and contour integration techniques that are parallel and modular in terms of the communication and computation structures. The computational framework can accommodate a sequence of images and track moving objects accurately. It also detects corners and junctions accurately. Our technique is biologically motivated, in particular the biological behavior known...

Features for F0 contour prediction

Decision trees based on features derived from text analysis have previously been used to predict the input parameters of models of F0 contour for text-to-speech synthesis. Yet it is not known which features contribute most to the success of the prediction. This paper quantifies the dependence of the predicted F0 contour on each of several input features derived from the text. Parameters for the...

Inflections of Toric Varieties

Relatability and Inflections 1 Running Head: RELATABILITY AND INFLECTIONS Completing visual contours: The relationship between relatability and minimizing inflections

Visual completion is a ubiquitous phenomenon: Human vision often constructs contours and surfaces in regions that have no sharp gradients in any image property. When does human vision interpolate a contour between a given pair of luminance-defined edges? Two different answers have been proposed: relatability and minimizing inflections. We state and prove a proposition that links these two propo...