The ability to visually understand and interpret learned features from complex predictive models is crucial for their acceptance in sensitive areas such as health care. To move closer to this goal of truly interpretable complex models, we present PatchNet, a network that restricts global context for image classification tasks in order to easily provide visual representations of learned texture ...

in this paper the partial and total factors productivities of isfahan province industries are analyzed. the two digit isic yearly data is used for period 1972-1993 . the results shoe that the average partial labor productivity are 6/8 and 2/2 mil. rials which are corresponded to chemical and wood industries, respectively. the average labor productivity of all industries is roughly constant befo...

Connected digit recognition has always been an ideal task for fundamental research in speech recognition due to its relatively low complexity and potential applications. In Bell Labs we have developed a number of techniques targeting directly or indirectly at connected digit recognition. For the Aurora task, we study a few such algorithms for the entire spectrum of the issues, including feature...

In this paper we review the factors that may lead to structural changes in stock market volatility and present an analysis that assesses whether emerging stock market volatility has changed significantly over the period 1976:01-2002:03. This period corresponds to the years of more profound development of both the financial and the productive sides in emerging countries. We use alternative metho...

conclusions various modalities of treatment used differentially in different types of drfs based on the barzullah working classification give good results in spite of conflicting literature. results the mean age of the patients was 51.22 ± 20.58 years. most of the patients were females (n=189, 64.19%). the minimal follow up was 6 months with a mean of 15.10 ± 5.4 months. mean mayo wrist scores ...