Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
The aim of this paper is to investigate the multiple attribute decision making problems with linguistic information, in which the information about attribute weights is incomplete...
Most existing web video search engines index videos by file names, URLs, and surrounding texts. These types of video roughly describe the whole video in an abstract level without ...
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the di...
In this paper, we show that classical survival analysis involving censored data can naturally be cast as a ranking problem. The concordance index (CI), which quantifies the quali...
Vikas C. Raykar, Harald Steck, Balaji Krishnapuram...