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Dividing oral histories into topically coherent segments can make them more accessible online. People regularly make judgments about where coherent segments can be extracted from oral histories. But making these judgments can be taxing, so automated assistance is potentially attractive to speed the task of extracting segments from openended interviews. When different people are asked to extract...

Since the introduction of market segmentation in the late 1950s, the number of techniques for segmentation has grown enormously. Both a priori and response-based approaches are widely used among researchers and practitioners (Myers and Tauber, 1977). In the case of a priori segmentation, groups are formed according to a criterion that is expected to cause heterogeneity of response among the cus...

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As part of a larger project to develop an aid for writers that would help to eliminate stylistic inconsistencies within a document, we experimented with neural networks to find the points in a text at which its stylistic character changes. Our best results, well above baseline, were achieved with time-delay networks that used features related to the author’s syntactic preferences, whereas low-l...

Outdoor scene parsing models are often trained on ideal datasets and produce quality results. However, this leads to a discrepancy when applied to the real world. The quality of scene parsing, particularly sky classification, decreases in night time images, images involving varying weather conditions, and scene changes due to seasonal weather. This project focuses on approaching these challenge...

Bilingual dictionaries hold great potential as a source of lexical resources for training automated systems for optical character recognition, machine translation, and cross-language information retrieval. More importantly, they represent a class of document that have a great deal of structure, and this structure is not fundamentally spatial. Structure is provided by the authors (or publishers)...

We propose a new approach to 3D object segmentation and description. Beginning with multiview range images of a 3D object, we segment the object into parts at deep surface concavities. Motivated by physics, we detect these concavities by locating surface points where the simulated electrical charge density achieves a local minimum. The individual parts are then described by parametric geons. Th...

We explore encoding brain symmetry into a neural network for a brain tumor segmentation task. A healthy human brain is symmetric at a high level of abstraction, and the high-level asymmetric parts are more likely to be tumor regions. Paying more attention to asymmetries has the potential to boost the performance in brain tumor segmentation. We propose a method to encode brain symmetry into exis...

This article presents a segmentation model applied to musician movements, taking into account different time structures. In particular we report on ancillary gestures that are not directly linked to sound production, whilst still being entirely part of the global instrumental gesture. Precisely, we study movements of the clarinet captured with an optical 3D motion capture system, analyzing anci...