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Topiramate (TPM) has shown efficacy in migraine prophylaxis in two large placebo-controlled, dose-ranging trials. We conducted a randomised, double-blind, multicentre trial to evaluate the efficacy and safety of two doses of topiramate vs placebo for migraine prophylaxis, with propranolol (PROP) as an active control. Subjects with episodic migraine with and(More)
BACKGROUND Open-label trials and small controlled studies report topiramate's efficacy in migraine prevention. OBJECTIVE To assess the efficacy and safety of topiramate as a migraine-preventive therapy. DESIGN A 26-week, randomized, double-blind, placebo-controlled study. SETTING Outpatient treatment at 49 US clinical centers. Patients Patients were(More)
Face recognition is a challenging problem, complicated by variations in pose, expression, lighting, and the passage of time. Significant work has been done to solve each of these problems separately. We consider the problems of lighting and expression variation together, proposing a method that accounts for both variabilities within a single model. We(More)
DISCLAIMER The views, opinions and/or findings contained in this report are those of The MITRE Corporation and should not be construed as an official Government position, policy, or decision, unless designated by other documentation. This report documents the results of a short email-mediated study by The MITRE Corporation on the use of free and open-source(More)
The views, opinions and/or findings contained in this report are those of The MITRE Corporation and should not be construed as an official Government position, policy, or decision, unless designated by other documentation. Abstract This report documents research efforts for the FY03 and FY04 Mission Oriented Investigation and Experimentation (MOIE) project(More)
Given two images of a scene, the problem of finding a map relating the points in the two images is known as the correspondence problem. Stereo correspondence is a special case in which corresponding points lie on the same row in the two images; optical flow is the general case. In this thesis, we argue that correspondence is inextricably linked to other(More)
We address the problem of searching camera network videos to retrieve frames containing specified individuals. We show the benefit of utilizing a learned probabilistic model that captures dependencies among the cameras. In addition, we develop an active inference framework that can request human input at inference time, directing human attention to the(More)
Building on recent prior work that combines Google Street View (GSV) and crowdsourcing to remotely collect information on physical world accessibility, we present the first 'smart' system, Tohme, that combines machine learning, computer vision (CV), and custom crowd interfaces to find curb ramps remotely in GSV scenes. Tohme consists of two workflows, a(More)
We present a fast image comparison algorithm for handling variations in illumination and moderate amounts of deformation using an efficient geodesic framework. As the geodesic is the shortest path between two images on a mani-fold, it is a natural choice to use the length of the geodesic to determine the image similarity. Distances on the manifold are(More)