Saehoon Kim

Multi-view hashing seeks compact integrated binary codes which preserve similarities averaged over multiple representations of objects. Most of existing multi-view hashing methods resort to linear hash functions where data manifold is not considered. In this paper we present multi-view anchor graph hashing (MVAGH), where nonlinear integrated binary codes are efficiently determined by a subset of eigenvectors of an averaged similarity matrix. The efficiency behind MVAGH is due to a low-rank form

Despite growing signs of urban shrinkage in countries such as Korea, Japan and China, few studies have examined the generalisable pattern of urban shrinkage and its relationship to the characteristics of housing abandonment in the East Asian context. This study explores five major paths that may explain the emergence of vacant houses in declining inner-city areas, based on empirical observations in the city of Incheon, South Korea. The paths are: (1) strong government-led new built-up area devel

A commercial web search engine shards its index among many servers, and therefore the response time of a search query is dominated by the slowest server that processes the query. Prior approaches target improving responsiveness by reducing the tail latency of an individual search server. They predict query execution time, and if a query is predicted to be long-running, it runs in parallel, otherwise it runs sequentially. These approaches are, however, not accurate enough for reducing a high tail

Urban design decisions for shrinking cities need to take into account the quality of daily life of the community alongside with the built environment characteristics. However, little is known about why certain urban design strategies should be adopted in response to shrinkage. This paper examines approaches to influencing shrinkage through design, such as building a visible safety net for vulnerable populations, creating place-based social networks and reconfiguring the city’s stigmatized image.

A large number of East Asian cities, like cities in other parts of the world, are being affected by extreme heatwaves. Yet, little is known about the general urban design characteristics of sites with significant heat vulnerability within the localized context. In this study, empirical data sets were constructed describing the biomedical, social, environmental, and place-based parameters associated with the location of heat-related emergency calls in Suwon, South Korea, between 2010 and 2014. Th

Hashing refers to methods for embedding high dimensional data into a similarity-preserving low-dimensional Hamming space such that similar objects are indexed by binary codes whose Hamming distances are small. Learning hash functions from data has recently been recognized as a promising approach to approximate nearest neighbor search for high dimensional data. Most of 'learning to hash' methods resort to either unsupervised or supervised learning to determine hash functions. Recently semi-superv

This article illustrates the multi-faceted notion of hazard vulnerability and the complicated relations a community has with a hazardous area based on a joint urban planning and design studio between Seoul National University and Diponegoro University in 2014. The study focused on an area in Central Java, Indonesia, surrounded by four active volcanic mountains, and explored the economic, environmental and social vulnerability associated with the site. Although initially the study focused on draw