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This paper presents a novel approach for analyzing human actions in non-scripted, unconstrained video settings based on volumetric, x-y-t, patch classifiers, termed actemes. Unlike previous action-related work, the discovery of patch classifiers is posed as a strongly-supervised process. Specifically, key point labels (e.g., position) across space time are(More)
We propose a tracking framework that mediates grouping cues from two levels of tracking granularities, detection tracklets and point trajectories, for segmenting objects in crowded scenes. Detection tracklets capture objects when they are mostly visible. They may be sparse in time, may miss partially occluded or deformed objects, or contain false positives.(More)
The human vision tends to recognize more variants of a distinctive exemplar. This observation suggests that discriminative power of training exemplars could be utilized for shaping a desirable global classifier that generalizes maximally from a few exemplars. We propose to derive classification uncertainty for each exemplar, using a local classification(More)
BACKGROUND (+)-catechin, as the most common catechin isomer, is recognized to be an antioxidant which benefits the skin in many ways. The purpose of the present study was to prepare and evaluate a suitable liposomal delivery systems for (+)-catechin topical application. METHODS In this study, catechin-loaded conventional liposomal delivery system,(More)
-Despite the advances reached along the last 20 years, anomaly detection in networks is still an immature technology, Nevertheless, the benefits which could be obtained from a better understanding of the problem itself as well as the improvement of these methods. Therefore, in this paper we present a survey on anomaly detection in networks. In order to(More)
With the wide deployment of 3G/4G cellular data networks there is a tremendous growth of mobile Internet access worldwide. We conduct a detailed measurement study about user behaviors, application usage and location patterns of users. We present a methodology that correlates different network attributes and user information together. For user behaviors we(More)
SCOPE Fish oil-derived n-3 PUFA may improve cardiometabolic health through modulation of innate immunity. However, findings in clinical studies are conflicting. We hypothesized that n-3 PUFA supplementation would dose-dependently reduce the systemic inflammatory response to experimental endotoxemia in healthy humans. METHODS AND RESULTS The Fenofibrate(More)
Buffalo fasciolosis induced by Fasciola gigantica causes important economic losses in tropical areas of Asia. Detection of prepatent infection is essential to control this disease. Classical tools such as coprology, necroscopy or ELISA based on crude extracts from F. gigantica are poorly sensitive or specific. Purified antigens could be used to increase(More)
We present snap-n-eat, a mobile food recognition system. The system can recognize food and estimate the calorific and nutrition content of foods automatically without any user intervention. To identify food items, the user simply snaps a photo of the food plate. The system detects the salient region, crops its image, and subtracts the background(More)