Bayesian Dark Knowledge

We consider the problem of Bayesian parameter estimation for deep neural networks, which is important in problem settings where we may have little data, and/ or where we need accurate posterior predictive densities, e.g., for applications involving bandits or active learning. One simple approach to this is to use online Monte Carlo methods, such as SGLD (stochastic gradient Langevin dynamics). Unfortunately, such a method needs to store many copies of the parameters (which wastes memory), and needs to make predictions using many versions of the model (which wastes time). We describe a method for "distilling" a Monte Carlo approximation to the posterior predictive density into a more compact form, namely a single deep neural network. We compare to two very recent approaches to Bayesian neural networks, namely an approach based on expectation propagation [Hernandez-Lobato and Adams, 2015] and an approach based on variational Bayes [Blundell et al., 2015]. Our method performs better than both of these, is much simpler to implement, and uses less computation at test time.Comment: final version submitted to NIPS 201

Deep Metric Learning via Facility Location

Learning the representation and the similarity metric in an end-to-end fashion with deep networks have demonstrated outstanding results for clustering and retrieval. However, these recent approaches still suffer from the performance degradation stemming from the local metric training procedure which is unaware of the global structure of the embedding space. We propose a global metric learning scheme for optimizing the deep metric embedding with the learnable clustering function and the clustering metric (NMI) in a novel structured prediction framework. Our experiments on CUB200-2011, Cars196, and Stanford online products datasets show state of the art performance both on the clustering and retrieval tasks measured in the NMI and Recall@K evaluation metrics.Comment: Submission accepted at CVPR 201

What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision

We present a novel method for aligning a sequence of instructions to a video of someone carrying out a task. In particular, we focus on the cooking domain, where the instructions correspond to the recipe. Our technique relies on an HMM to align the recipe steps to the (automatically generated) speech transcript. We then refine this alignment using a state-of-the-art visual food detector, based on a deep convolutional neural network. We show that our technique outperforms simpler techniques based on keyword spotting. It also enables interesting applications, such as automatically illustrating recipes with keyframes, and searching within a video for events of interest.Comment: To appear in NAACL 201

Pocket Bill: The Digital Receipt Management System

With the help of information technology, business aspects and rules can be attained easily. Here we discuss about the billing system and how to incorporate the Digital Receipt system and its management in the present scenario. Here we discuss four specific ways to implement digital receipts system. The SMS/MMS service can be used to send the receipt in the SMS format or in image type via MMS. The E-mail could be sent to the customers Id with the receipt attached with PDF or image format. The receipt in any format could also be stored over the cloud. These ways to implement the digitalization are discussed in detail. The main advantage of the digital receipts is to reduce the use of Paper in day to day life degrading environment. This in turn reduces the regular cost of paper rolls involved in billing for the company. The customers get a safe, long lasting receipt. Advantages of implementation of digital receipts have also been mentioned

Speed/accuracy trade-offs for modern convolutional object detectors

The goal of this paper is to serve as a guide for selecting a detection architecture that achieves the right speed/memory/accuracy balance for a given application and platform. To this end, we investigate various ways to trade accuracy for speed and memory usage in modern convolutional object detection systems. A number of successful systems have been proposed in recent years, but apples-to-apples comparisons are difficult due to different base feature extractors (e.g., VGG, Residual Networks), different default image resolutions, as well as different hardware and software platforms. We present a unified implementation of the Faster R-CNN [Ren et al., 2015], R-FCN [Dai et al., 2016] and SSD [Liu et al., 2015] systems, which we view as "meta-architectures" and trace out the speed/accuracy trade-off curve created by using alternative feature extractors and varying other critical parameters such as image size within each of these meta-architectures. On one extreme end of this spectrum where speed and memory are critical, we present a detector that achieves real time speeds and can be deployed on a mobile device. On the opposite end in which accuracy is critical, we present a detector that achieves state-of-the-art performance measured on the COCO detection task.Comment: Accepted to CVPR 201

Prevalence and risk factors of bone disease in patients with chronic pancreatitis: a cross sectional study

Background: Osteopenia and osteoporosis is a highly prevalent condition and presents a tremendous public health burden. The association of bone disease has been recognized in several diseases of the git, resulting in established guidelines for screening in patients with malabsorptive disorders such as inflammatory bowel disease (IBD) and celiac disease.  Increasingly, the risk of bone disease has been recognized in patients with chronic pancreatitis, who share similar risk factors as patients with other gastrointestinal disorders.Methods: This single-centre study was carried out in Kilpauk medical college. This study population consisted of 47 patients who were image confirmed cases of chronic pancreatitis. History of smoking, alcohol use was taken, body mass index, fecal elastase was measured. Dual-energy X-ray absorptiometry scan was used to examine bone mineral density (BMD) for the lumbar spine and bilateral femoral neck.Results: Of the 47 patients, 19 patients were chronic smokers and 28 patients had history of significant alcohol use. The prevalence of osteoporosis in patient group was 29.8% in patients with CP compared to Indian prevalence of 18.3% in previous studies. The prevalence of osteopenia was 48.9% in patients with CP compared to Indian prevalence of 49.9% in previous studies.Conclusions: Bone disease in CP can be attributed to several risk factors which act synergistically in propagating abnormal bone metabolism. Osteoporosis and osteopenia are underappreciated sources of morbidity in patients with chronic pancreatitis. Bone health management guidelines are urgently required in patients with chronic pancreatitis

Design And Analysis of Aircraft Wing

This research develops and analyses a general aviation plane. A preliminary representation of the eventual product is used to start the design process for an airplane. Based on a drawing, a design mission profile is utilized to determine the weight. A more advanced approach is used to estimate weight, which employs calculated performance criteria to produce a more exact weight estimate. The wing design has been demonstrated to be a feasible alternative for a similar general aviation aircraft. When traveling through air or other fluids, a wing is a type of fin that provides lift. Airfoils may be observed on the wings, which have a streamlined cross-section, as a result of this. The lift created by a wing is compared to the drag generated by it to determine its aerodynamic efficiency

Case of rheumatic mitral stenosis with bilateral coronary artery fistula to pulmonary artery: A rare entity

Coronary to pulmonary artery fistula is a rare form of congenital coronary artery anomaly. Majority of coronary arteriovenous fistula detected incidentally on coronary angiography. Although, most of these patients are asymptomatic, larger fistulae can produce symptoms of heart failure. Here we present a rare case of 61-year-old female who presented primarily for mitral valve replacement for severe mitral stenosis. On screening angiography, there were two fistula arising from both right and left coronary artery and draining in to the main pulmonary artery. The patient was operated and mitral valve replacement with closure of the fistula. Patient had an uneventful post-operative period and was discharged on 7 the post-operative day