On the War Culture of Rewarding, Management and Sacrificing in the Ancient China Zhou Dynasty Based on the War Inscriptions

The Zhou dynasty had the complete regulation system of the armies. Based on the words used in the bronze ware’s inscriptions, we can see army official appointing, army administration, army’s working style culturing and not-obey-order army punishing. The primitive humanism has developed to some degree in bronze ware’s inscriptions. It manifests that the individual living condition is focused. The ideology of cautious fighting is issued. The management, fighting rewarding, fighting sacrificing and human beings’ lives protection has been stressed. It is a great improvement based on the humanism prospect in the ancient society

Fine-Grained Car Detection for Visual Census Estimation

Targeted socioeconomic policies require an accurate understanding of a country's demographic makeup. To that end, the United States spends more than 1 billion dollars a year gathering census data such as race, gender, education, occupation and unemployment rates. Compared to the traditional method of collecting surveys across many years which is costly and labor intensive, data-driven, machine learning driven approaches are cheaper and faster--with the potential ability to detect trends in close to real time. In this work, we leverage the ubiquity of Google Street View images and develop a computer vision pipeline to predict income, per capita carbon emission, crime rates and other city attributes from a single source of publicly available visual data. We first detect cars in 50 million images across 200 of the largest US cities and train a model to predict demographic attributes using the detected cars. To facilitate our work, we have collected the largest and most challenging fine-grained dataset reported to date consisting of over 2600 classes of cars comprised of images from Google Street View and other web sources, classified by car experts to account for even the most subtle of visual differences. We use this data to construct the largest scale fine-grained detection system reported to date. Our prediction results correlate well with ground truth income data (r=0.82), Massachusetts department of vehicle registration, and sources investigating crime rates, income segregation, per capita carbon emission, and other market research. Finally, we learn interesting relationships between cars and neighborhoods allowing us to perform the first large scale sociological analysis of cities using computer vision techniques.Comment: AAAI 201