This is the second part of an investigation into the visual clues in illuminated scenes, in terms of the interactions between apparent contours, shade and cast shadow curves, boundary edges and markings, on smooth surfaces, pairs of surfaces meeting in a crease, and triples of surfaces meeting in a corner. We consider both ‘stable’ and ‘codimension 1’ cases, the latter meaning that we list even...

This paper investigates approaches for low dimensional speech feature transformation using manifold learning. It has recently been shown that speech sounds may exist on a low dimensional manifold nonlinearly embedded in high dimensional space. A number of techniques have been developed in recent years that attempt to discover the geometric structure of the underlying low dimensional manifold. T...

this  article  provides  an  overview  on  preparation,  design,  crystal structure  and  properties  of  some  metal-organic  frameworks  of carboxylate coordination polymers mixed with pyridine-functionality linkers  prepared  in  our  laboratory.  the  article  covers  coordination polymers  in  two-  and  three-dimensional  supramolecular architectures. the reported coordination polymers ex...

Aneurysms of the interatrial septum are rare. They have been associated with complications such as embolic phenomena and atrioventricular orifice obstruction. We describe two patients, one adult and one child, with atrial septal aneurysms that were diagnosed by real-time, two-dimensional echocardiography. Atrial septal aneurysms appeared as thin, localized outpouchings of the atrial septum that...

AbstructEstimation of 3-D information from 2-D image coordinates is a fundamental problem both in machine vision and computer vision. Circular features are the most common quadratic-curved features that have been addressed for 3-D location estimation. In this paper, a closed-form analytical solution to the problem of 3-D location estimation of circular features is presented. Two different cases...

Modeling changes in individual crowd worker performance over time offers new ways to improve the quality of crowd labels, such as by dynamically routing label annotation tasks to workers more likely to produce reliable labels. Whereas prior crowd annotator models have typically adopted a single generative approach, we formulate a discriminative, flexible feature-based model. This allows us to c...

Metrological inspection planning is among the least explored CAPP domains. This paper examines the basic issues involved in automated dimensional inspection planning that works within an environment of a Generic CAPP Support System. A new algorithmic approach based on multi-attributed spatial graphs is developed for extracting inspection features. The features of specific interest to the planne...