Global shape information is an effective top-down complement to bottom-up figure-ground segmentation as well as a useful constraint to avoid drift during adaptive tracking. We propose a novel method to embed global shape information into local graph links in a Conditional Random Field (CRF

proposes instead a bottom-up approach which, by design, exhibits better generalization properties. For each out-of-vocabulary word, a neighborhood of locally relevant pronunciations is constructed through latent semantic analysis of the appropriate graphemic form. Phoneme transcription then proceeds via

proposes instead a bottom-up approach which, by design, exhibits better generalization properties. For each out-ofvocabulary word, a neighborhood of locally relevant pronunciations is constructed through latent semantic analysis of the appropriate graphemic form. Phoneme transcription then proceeds via

This paper presents a fully machine-driven approach for intonation description and its linguistic interpretation. For this purpose, a new intonation model for bottom-up F0 contour analysis and synthesis is introduced, the CoPaSul model which is designed in the tradition of parametric, contour

. As our main contribution, we present an alternate bottom-up modelling approach. By combining the variation captured in multiple dimensionally-targeted models at segmentation-time we create a scalable segmentation framework that does not suffer from the ’curse of dimensionality’. Our second contribution

unifying mechanism for both bottom-up analysis and top-down analysis. The model is evaluated with a systematic set of three-dimensional (3-D) line drawing objects, which are arranged in an arbitrary fashion to compose input scenes that allow object occlusion. Memory-based organization is responsible for a

the current accuracies. However, the lack of a natural alignment in these areas makes difficult to extract these features applying classic Bottom-Up methods. In this paper, we propose a complete scheme based on a Top-Down reconstruction algorithm to extract external features of face images. To test our system

profound challenge to existing microfabrication methods that largely rely upon top-down etching using fixed mask templates. On the other hand, the bottom-up synthesis of nanostructures such as nanotubes and nanowires can offer new capabilities to microfabrication, in particular by taking advantage

RNA of Bmgstd4 was cloned by RACE-PCR and contained an open reading frame of 738 bp encoding a 245 amino acid protein. The antenna specificity of BmGSTD4 was validated at the mRNA and protein levels and BmGSTD4 was shown to localize in the sensillum of male silkmoth antennae. Homology modeling and multi-sequence

structures. Many methods for structure alignment use a bottom-up approach, identifying first local matches andthen solving a combinatorial problem in building up larger clusters of matchingsubstructures. Here, the top-down approach is to start with the global comparison and select a rough superimposition