Analyzing, structuring and organizing documented knowledge is an important aspect of knowledge management. In order to ease the access to text collections, in literature so-called...
Unlike traditional database queries, keyword queries do not adhere to predefined syntax and are often dirty with irrelevant words from natural languages. This makes accurate and e...
In this paper, we tackle the problem of unsupervised selection and posterior recognition of visual landmarks in images sequences acquired by an indoor mobile robot. This is a high...
Bursty features in text streams are very useful in many text mining applications. Most existing studies detect bursty features based purely on term frequency changes without takin...
Wayne Xin Zhao, Jing Jiang, Jing He, Dongdong Shan...
This paper examines the driving and opposing forces that are governing the current paradigm shift from a data-processing information technology environment without software intell...