We present a discriminative latent topic model for scene recognition. The capacity of our model is originated from the modeling of two types of visual contexts, i.e., the category...
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...
—The objective of the paper is to propose a predictable context sensitive trust model for a business system. A business system can be imagined with four basic entities between wh...
Abstract Mobile computing systems should be selfmanaged to simplify operation and maintenance plus meet user's expectation with respect to Quality of Service (QoS). When archi...
— A novel framework to context modeling, based on the probability of co-occurrence of objects and scenes is proposed. The modeling is quite simple, and builds upon the availabili...