The authors survey a recent technique in computer vision called Interactive Co-segmentation, which is the task of simultaneously extracting common foreground objects from multiple related images. They survey several of the algorithms, present underlying common ideas, and give an overview of applications of object co-segmentation.
The DREAM Founder is an essential entrepreneurship guide for early-stage Indian start-ups. It also has interviews with some of the most successful entrepreneurs in the world of start-ups, such as Sanjeev Bikhchandani of Naukri.com, Deepinder Goyal of Zomato, Meena Ganesh of Portea Medical and Dr Annurag Batra of Businessworld. It includes start-ups that have succeeded and also those who have failed, as you can learn so much from failures. Dhruv Nath shares how you can become a DREAM Founder with these simple steps: · Dream big · Right team · Execution · Attitude · Make opportunities out of crises
The East Asia and Pacific region has made great progress, relative to other regions, with regard to both economic development and, specifically, economic opportunities for women. However, aspiring female entrepreneurs continue to face unequal barriers to starting, operating, and growing their businesses. Not only does this hurt business women in the region, but it also ultimately hurts poverty reduction and economic growth. 'Economic Opportunities for Women in the East Asia and the Pacific Region' brings together data and available evidence on the constraints that female entrepreneurs in the region face with regard to: access to assets, business regulations and governance issues, and available avenues for expanding businesses and trading with larger markets. The authors present recommendations at the end of each chapter. This book will be of interest to policy makers, donors, nongovernmental organizations, and researchers looking to further examine the constraints that are holding back female entrepreneurs in East Asia and the Pacific.
The authors survey a recent technique in computer vision called Interactive Co-segmentation, which is the task of simultaneously extracting common foreground objects from multiple related images. They survey several of the algorithms, present underlying common ideas, and give an overview of applications of object co-segmentation.
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