Maximum margin classifiers such as Support Vector Machines (SVMs) critically depends upon the convex hulls of the training samples of each class, as they implicitly search for the minimum distance between the convex hulls . We propose Extrapolated Vector Machines (XVMs) which rely on extrapolations outside these convex hulls. XVMs improve SVM generalization very significantly on the MNIST [7] O...

Methods Phase one involved developing a QHRFF using an existing diabetes high-risk foot tool, literature search, expert panel and several state-wide stakeholder groups. Phase two tested the criterion-related validity along with interand intra-rater reliability of the final QHRFF. Three cohorts of patients (n = 94) and four clinicians, representing different levels of expertise, were recruited. ...

Materials and Methods: This prospective, cross sectional comparative study evaluated 30 healthy subjects fulfilling the inclusion criteria reporting in AFIO Rawalpindi. CCT was measured in both eyes of subjects using noncontact specular microscope, Dual Scheimpflug analyzer and contact ultrasound pachymeter by a single investigator at the same time of the day. Pearson’s correlation coefficient ...

<p class="abstract"><strong>Background:</strong> Distal radius fractures are the most recurrent happening in upper extremity. We conducted a prospective hospital-based clinical study on management of distal with surgical fixation. To assess functional outcome and to effectiveness fixation intra-articular end fractures.</p><p class="abstract"><strong>Methods:&...

Object class recognition in a given image is a difficult problem. To classify a test image as hit or match for a particular object class requires the abstraction of an object, developed using real world images. This is where the difficulty lies since the images of an object class can have large-scale variations in terms of illumination, angle of view, scale, rotation, color, location, type etc ...