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Action Recognition in videos is an active research field that is fueled by an acute need, spanning several application domains. Still, existing systems fall short of the applications' needs in real-world scenarios, where the quality of the video is less than optimal and the viewpoint is uncontrolled and often not static. In this paper, we extend the Motion(More)
The records of 105 patients who had undergone unilateral reimplantation for ipsilateral reflux were reviewed. Patient age, grade of preoperative reflux, completely duplicated collecting systems, preoperative findings of contralateral dilatation of the lower ureter or radiographic evidence of pyelonephritis had no predictive value in regard to the appearance(More)
A review of our records between 1970 and 1986 identified 22 patients with transitional cell carcinoma of the bladder who were less than 31 years old. Of these patients 7 were less than 20 years old (group 1) and 15 were 20 to 30 years old (group 2). The tumors usually were of low grade and low stage. Patients in group 1 had no recurrences, whereas 6(More)
We extend the word2vec framework to capture meaning across languages. The input consists of a source text and a word-aligned parallel text in a second language. The joint word2vec tool then represents words in both languages within a common “semantic” vector space. The result can be used to enrich lexicons of under-resourced languages, to identify(More)
Continence following urinary diversion depends on factors related to the reservoir and outlet. The reservoir should possess good compliance and no or atmost low pressured phasic contractions. The outlet should provide adequate outflow resistance to allow expulsion of urine under voluntary control and at convenient intervals. Overcoming high intra-reservoir(More)
In video understanding, the spatial patterns formed by local space-time interest points hold discriminative information. We encode these spatial regularities using a word2vec neural network, a recently proposed tool in the field of text processing. Then, building upon recent accumulator based image representation solutions, input videos are represented in a(More)
Deep methods based on Convolutional Neural Networks serve as accurate facial points and body parts detectors. However, most methods do not provide a confidence score for the quality of the localization process. In real world applications, such a score could be invaluable. We, therefore, study the problem of estimating the success of the localization process(More)