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Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks
TLDR
We show that using a simple random pruning strategy we can achieve significant speed up in object detection (74% improvement in fps) while retaining the same accuracy as that of the original Faster RCNN model. Expand
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A REMINISCENT STUDY OF NATURE INSPIRED COMPUTATION
TLDR
This paper is a comprehensive survey of existing nature inspired techniques and their applications. Expand
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ECG Paper Records Digitization through Image Processing Techniques
TLDR
This paper discusses method that involves processing of ECG paper records by an efficient and iterative set of digital image processing techniques for the conversion ofECG paper image data to time series digitized signal form, resulting in convenient storage and retrieval. Expand
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Triage hyperglycemia as a prognostic indicator of major trauma.
BACKGROUND To test the diagnostic utility of the triage serum glucose in differentiating major from minor injuries. METHODS Prospective database at Kings County Hospital, a Level I trauma center,Expand
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Studying the plasticity in deep convolutional neural networks using random pruning
TLDR
In this work, we report experiments which suggest that the comparable performance of the pruned network is not due to the specific criterion chosen, but to the inherent plasticity of deep neural networks which allows them to recover from the loss of pruned filters once the rest of the filters are fine-tuned. Expand
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Transcription facilitates sister chromatid cohesion on chromosomal arms
Cohesin is a multi-subunit protein complex essential for sister chromatid cohesion, gene expression and DNA damage repair. Although structurally well studied, the underlying determinant of cohesionExpand
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Blockchain—Technology to Drive the Future
Blockchain technology first came into public discourse through the rapid growth of Bitcoin currency. The financial services was first to realize its importance, but in recent years, we have startedExpand
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Efficient Video Classification Using Fewer Frames
TLDR
We focus on building compute-efficient video classification models which process fewer frames and hence have less number of FLOPs. Expand
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On the spectroscopic investigation of Kohl stains via ATR-FTIR and multivariate analysis: Application in forensic trace evidence
Abstract In the present study, 33 Kohl samples were purchased from the local market of the north-western region of India and analyzed by using ATR-FTIR spectroscopy coupled with multivariate methods.Expand
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Scrub typhus masquerading as acute pancreatitis
The clinical spectrum of scrub typhus ranges from mild to fatal depending on the virulence of bacterial strain, susceptibility of the host and promptness with which treatment is started. We report aExpand
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