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The Brand Called You
There is no one else in the world like you. Your personal brand has been registered in your name and patented with your persona even though there may be hundreds of people carrying the same name. Creating, building, and developing your personal brand is entirely in your own hands. Conversely, destroying or diminishing your brand is also only in your own hands. Your brand is the essence of your own unique story. The key to this is reaching deep inside yourself and pulling out the authentic, the unique 'you', from within your own self. What we do with our own brand name could be the difference between being very successful and not so successful. This is as true for personal branding as it is for business branding. The Brand Called You outlines how critical it is for each one of us to understand the power and vulnerabilities of our brand and invest wisely and consistently in our persona and our name. Remember, the only legacy you will leave behind in the world is your name.
How to Survive Failure and Come out Stronger
No parent tells their child that it is okay to fail. We love success! Nobody wishes to fail. Yet, failure and success are two sides of the same coin. Failure is painful, and it causes emotional turmoil, inflicting agonising pangs of guilt, regret and remorse. But those who have experienced true failure and have bounced back from it understand that failure is necessary for success. Yes, of course, failing hurts. In fact, it cuts deep like a razor, slicing its way to our inner core. Yet, it is necessary. Everyone is quick to pass judgement on failure and the person who has failed. Everyone has a reason, their own interpretation, of why the failure has happened. No one thinks of the impact on t...
Reboot Reinvent Rewire
Retirement is a new beginning.You now have the gift of time. You are free to gaze at the stars, enjoy a movie, play with your grandkids. You are free, finally, of deadlines and the rush of everyday life. Indeed, retirement--which, given today's excellent health facilities, makes up about a third of one's life--could bring in the best years. All you need to do is plan well ahead.Keep sufficient retirement fundsDecide on your monthly expenditureFind a hobby you enjoyExercise and keep your weight under controlGo for regular medical check-upsMaintain a balanced relationship with your childrenHave a healthy sex lifeMake new friendsLearn to giveLearn to live alone
BAJRANG SAGA
At the outbreak of an epidemic originating from Sri Lanka and making its way to a small village in Tamil Nadu, the revelation of an ancient force hibernating for 2.5 million years is triggered. Meanwhile, in the state of Uttar Pradesh, strange events are taking place amid communal tensions, alongside a rise of sophisticated ancient electronic weapons. A modest government servant and a billionaire NRI are drifted to the path of revenge against the state and the gods. But the danger looming over the planet is greater, launched by entities evolved more than mere ‘earthlings’. Bajrang Saga is a science-fiction/political fantasy set in contemporary India, where what was once considered mythical figures and events from the epic Ramayana resurface.
Algorithmic Learning Theory
This volume contains the papers presented at the 12th Annual Conference on Algorithmic Learning Theory (ALT 2001), which was held in Washington DC, USA, during November 25–28, 2001. The main objective of the conference is to provide an inter-disciplinary forum for the discussion of theoretical foundations of machine learning, as well as their relevance to practical applications. The conference was co-located with the Fourth International Conference on Discovery Science (DS 2001). The volume includes 21 contributed papers. These papers were selected by the program committee from 42 submissions based on clarity, signi?cance, o- ginality, and relevance to theory and practice of machine learni...
Machine Learning in Computer Vision
The goal of this book is to address the use of several important machine learning techniques into computer vision applications. An innovative combination of computer vision and machine learning techniques has the promise of advancing the field of computer vision, which contributes to better understanding of complex real-world applications. The effective usage of machine learning technology in real-world computer vision problems requires understanding the domain of application, abstraction of a learning problem from a given computer vision task, and the selection of appropriate representations for the learnable (input) and learned (internal) entities of the system. In this book, we address all these important aspects from a new perspective: that the key element in the current computer revolution is the use of machine learning to capture the variations in visual appearance, rather than having the designer of the model accomplish this. As a bonus, models learned from large datasets are likely to be more robust and more realistic than the brittle all-design models.
Storizen Magazine March 2024 | Anand Neelakantan
As we step into the nostalgic realm of March, we are thrilled to present to you our 6th Anniversary Issue of Storizen Magazine. Time flies, and it's incredible to look back at our journey filled with literary adventures, thought-provoking stories, and the unwavering support of our readers, contributors, and the literary community at large. This month, our theme delves into the cherished memories of yesteryears, evoking a sense of longing and fondness. Nostalgia, with its bittersweet essence, guides us through the corridors of time, allowing us to revisit moments that shaped us into who we are today. In this commemorative issue, we're delighted to announce that Storizen Magazine has been reco...
Data Clustering
Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays special attention to recent issues in graphs, social networks, and other domains. The book focuses on three primary aspects of data clustering: Methods, describing key techniques commonly used for clustering, such as feature selection, agglomerative clustering, partitional clustering, density-based clustering, probabi...
Image and Video Retrieval
This book constitutes the refereed proceedings of the Third International Conference on Image and Video Retrieval, CIVR 2004, held in Dublin, Ireland in July 2004. The 31 revised full papers and 44 poster papers presented were carefully reviewed and selected from 125 submissions. The papers are organized in topical sections on image annotation and user searching, image and video retrieval algorithms, person and event identification for retrieval, content-based image and video retrieval, and user perspectives.
