1,947 research outputs found
“The history of the West is not the history of the world” – Pankaj Mishra
No full textPankaj Mishra explains how intellectual and political responses by Asian thinkers to western imperialism have shaped Asia as we know it today
LSE Lit Fest 2017 book review: age of anger: a history of the present by Pankaj Mishra
No full textHow can we explain the apparent rise in hatred in societies around the world? In Age of Anger: A History of the Present, Pankaj Mishra offers a take on our current predicament by tracing increased disaffection, disappointment and disillusionment back through to the eighteenth century. Packed with references drawn from various disciplines and eras, this is a book whose insights deserve thorough contemplation as we search for answers to our ‘age of anger’, writes Kate Bailey. On Tuesday 14 February 2017, author Pankaj Mishra spoke about Age of Anger for the LSE Space for Thought Literary Festival 2017. This year’s theme is Revolutions – not only marking the centenary of the Russian Revolution, but also other anniversaries of revolutions in literature, international relations, politics, religion and science. Tickets to all events are free and available here
NodeLab: A MATLAB package for meshfree node-generation and adaptive refinement
No full text<p>Meshless/meshfree methods are cutting-edge numerical methods for numerical modeling, which unlike other mesh-based algorithms, do not require a structured grid/elements in the domain. These methods can work with scattered nodes in the domain, however, the nature of the modeling problem often suggests a certain type of node-layout to get the most efficient modeling results. Many real-world applications (like weather forecasting, tsunami modeling, and geophysical imaging, computational mechanics) require to generate a large number of nodes in a significantly large arbitrary domain. The literature in this context is up-and- coming, which focus on different aspects of node-generation based on typical requirements. The node-placing approach by (Fornberg & Flyer, 2015) is similar to advancing front methods and has been reported to have advantages like computational speed, simple algorithms, and good quality of distribution.</p>
<p>NodeLab is a simple MATLAB-repository for node-generation and adaptive refinement for testing, and implementing various meshfree methods for solving PDEs in arbitrary 2D domains. The core-algorithm behind this package is the node-placing approach because of its simplicity, computational speed and the quality of the distribution. The node-placing method has been used for creating initial node-distribution in the bounding-box of the desired domain. A crucial decision in this context is how to represent the geometry of the domain. We compute the Signed-distance field (SDF) for the domain-geometry based on a priory information about the domain, which is often used in mesh-generation for Finite Element Methods (Persson & Strang, 2004). This ‘a priory’ information could be the geometry created using simple shapes, given as a function D(x, y) = 0, or some discrete set of seed nodes — later providing the flexibility to create the domain by manually digitizing of the geometry. Refinement of the boundary nodes is done by formulating the problem in terms of differential equations that describe the path along the curve and interpolating through an ODE solver. The node-distribution in NodeLab can be refined non-uniformly by adapting the information provided through control-points, which are an input from the user. control-points provide spatial locations where the user needs relatively finer nodes.</p>
<p>Future developments in this package may include its extension to 3D, and surfaces, an optional graphical user interface, improvement in the adaptivity by using Machine Learning algorithms to decide the control-points, etc. NodeLab is intended to be an open-source and collaborative project, where developers and users could contribute to make (and keep) it state-of-the-art by incorporating the improvements as the research in this field grows with time.</p>
Deep Neural Networks for Image Anomaly Detection: Application in Real World Industrial Scenarios
Get PDFDeep neural network is the new norm in the present era, where it’s being used in almost all the evolving fields, so is the field of anomaly detection. With the modern IT infrastructure industries are in a constant quest to search for new algorithms to analyze the data in order to be more autonomous, agile, efficient, and cost-effective. Anomaly detection is one such task, which industries want to automate as it finds its application in various fields like banking, traffic management, manufacturing, online fraud detection, anomalous behavior, etc. In this dissertation, we explored various novel approaches to solve the image anomaly detection problem. We proposed ways for anomaly detection tasks, keeping real industrial problems in mind like data scarcity, imbalanced data, limited resources, etc.
The dissertation proposes novel models like adapted capsnet, stacked capsule autoencoders, Pyramidal Image Anomaly Detector (PIADE), and Vision Transformer for Image Anomaly Detection and Localization (VT-ADL) for Deep Anomaly Detection (DAD) task. The methods can be trained in both supervised and semi-supervised ways. And VT-ADL is capable of global image classification and localization, without any need for pixel-precise ground truth data. We tested our methods on various academically used datasets like MNIST, CIFAR, COIL, FMNIST, and real industrial datasets like MVTec and BTAD. The proposed methods performed at par or better than the state-of-the-art methods.Deep neural network is the new norm in the present era, where it’s being used in almost all the evolving fields, so is the field of anomaly detection. With the modern IT infrastructure industries are in a constant quest to search for new algorithms to analyze the data in order to be more autonomous, agile, efficient, and cost-effective. Anomaly detection is one such task, which industries want to automate as it finds its application in various fields like banking, traffic management, manufacturing, online fraud detection, anomalous behavior, etc. In this dissertation, we explored various novel approaches to solve the image anomaly detection problem. We proposed ways for anomaly detection tasks, keeping real industrial problems in mind like data scarcity, imbalanced data, limited resources, etc.
The dissertation proposes novel models like adapted capsnet, stacked capsule autoencoders, Pyramidal Image Anomaly Detector (PIADE), and Vision Transformer for Image Anomaly Detection and Localization (VT-ADL) for Deep Anomaly Detection (DAD) task. The methods can be trained in both supervised and semi-supervised ways. And VT-ADL is capable of global image classification and localization, without any need for pixel-precise ground truth data. We tested our methods on various academically used datasets like MNIST, CIFAR, COIL, FMNIST, and real industrial datasets like MVTec and BTAD. The proposed methods performed at par or better than the state-of-the-art methods
La geopolítica de la imitación.
Get PDFEl auge del terrorismo global o del populismo nacionalista en el mundo actual son acontecimientos preocupantes en este mundo y plantean preguntas sobre cómo convivir en un mundo global o cómo deben relacionarse la identidad y el universalismo. El libro de Pankaj Mishra Age of Anger (La era de la ira) ofrece importantes reflexiones sobre las raíces más profundas de la crisis actual. En parte, recurre a la teoría mimética de René Girard para explicar por qué la envidia y el resentimiento provocan cada vez más ira en todo el mundo. Además, en su llamamiento a una nueva iluminación destaca una nueva visión de las tradiciones religiosas
sj-docx-1-pie-10.1177_09544089231159465 - Supplemental material for An intelligent approach to extract chatter and metal removal rate features impromptu from milling sound signal
No full textSupplemental material, sj-docx-1-pie-10.1177_09544089231159465 for An intelligent approach to extract chatter and metal removal rate features impromptu from milling sound signal by Rohit Mishra, Pankaj Gupta and Bhagat Singh in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
In Case You Missed It: Tibet Special, Part 3–Comments by Pico Iyer and Pankaj Mishra
Get PDFContinuing our series seeking to draw attention to overlooked readings on Tibet, we are happy to be able to provide comments by two long-time friends of the blog, Pico Iyer and Pankaj Mishra, talented and versatile writers whose most recent books are The Open Road: The Global Journey of the Fourteenth Dalai Lama and Temptations of the West: How to Be Modern in India, Pakistan, Tibet, and Beyond, respectively. It seemed particularly appropriate to ask Iyer and Mishra to suggest articles or books that they have found useful in thinking about Tibet but which might be under the radar of many of our readers. This is because six months ago, when we were covering the unrest in Tibet, we put up links to things that each of them had written for newspapers or magazines. We also pointed our readers to the latter’s New Yorker review of the former’s latest book.
Iyer: Read John Avedon’s In Exile from the Land of Snows, already a quarter of a century old and, as a result, fresher, more full of wonder and outrage, with better access to the principal players than any subsequent book on Tibet and its recent history. Then, as a postscript, turn to The Story of Tibet, by Thomas Laird, from 2006, to see not just the larger frame into which Tibet’s recent history has to be put, but, more important, the way in which the world’s most celebrated living Tibetan would read that history, as parable, warning and instruction.
Tibet, more than anywhere, is enfolded in myths, Western projections and wishful fantasies. The only books to read on the subject are the ones that take you deeper and more rigorously into real life.
Mishra: Thanks to the wonderfully comprehensive China Beat site, I can’t think of any undernoticed book or article on China and Tibet in recent months
In Case You Missed It: Tibet Special, Part 3–Comments by Pico Iyer and Pankaj Mishra
Get PDFContinuing our series seeking to draw attention to overlooked readings on Tibet, we are happy to be able to provide comments by two long-time friends of the blog, Pico Iyer and Pankaj Mishra, talented and versatile writers whose most recent books are The Open Road: The Global Journey of the Fourteenth Dalai Lama and Temptations of the West: How to Be Modern in India, Pakistan, Tibet, and Beyond, respectively. It seemed particularly appropriate to ask Iyer and Mishra to suggest articles or books that they have found useful in thinking about Tibet but which might be under the radar of many of our readers. This is because six months ago, when we were covering the unrest in Tibet, we put up links to things that each of them had written for newspapers or magazines. We also pointed our readers to the latter’s New Yorker review of the former’s latest book.
Iyer: Read John Avedon’s In Exile from the Land of Snows, already a quarter of a century old and, as a result, fresher, more full of wonder and outrage, with better access to the principal players than any subsequent book on Tibet and its recent history. Then, as a postscript, turn to The Story of Tibet, by Thomas Laird, from 2006, to see not just the larger frame into which Tibet’s recent history has to be put, but, more important, the way in which the world’s most celebrated living Tibetan would read that history, as parable, warning and instruction.
Tibet, more than anywhere, is enfolded in myths, Western projections and wishful fantasies. The only books to read on the subject are the ones that take you deeper and more rigorously into real life.
Mishra: Thanks to the wonderfully comprehensive China Beat site, I can’t think of any undernoticed book or article on China and Tibet in recent months
Image Anomaly Detection with Capsule Networks and Imbalanced Datasets
No full textImage anomaly detection consists in finding images with anomalous, unusual patterns with respect to a set of normal data. Anomaly detection can be applied to several fields and has numerous practical applications, e.g. in industrial inspection, medical imaging, security enforcement, etc.. However, anomaly detection techniques often still rely on traditional approaches such as one-class Support Vector Machines, while the topic has not been fully developed yet in the context of modern deep learning approaches. In this paper we propose an image anomaly detection system based on capsule networks under the assumption that anomalous data are available for training but their amount is scarce
Lectotypification of Glycine aurea, the basionym of Rhynchosia aurea (Fabaceaee)
No full textMishra, Ajay K., Hurrah, Imtiyaz A., Dhole, Pankaj A., Wagh, Vijay V. (2021): Lectotypification of Glycine aurea, the basionym of Rhynchosia aurea (Fabaceaee). Phytotaxa 528 (1): 62-64, DOI: 10.11646/phytotaxa.528.1.
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