In this paper we proposed quasi-Newton and limited memory quasi-Newton methods for objective functions defined on Grassmannians or a product of Grassmannians. Specifically we defin...
Query Personalization is the process of dynamically enhancing a query with related user preferences stored in a user profile with the aim of providing personalized answers. The un...
This paper presents a novel formulation and approach to the minimal document set retrieval problem. Minimal Document Set Retrieval (MDSR) is a promising information retrieval task...
The most well known search techniques are perhaps the PageRank and HITS algorithms. In this paper we argue that these algorithms miss an important dimension, the temporal dimensio...
This work is concerned with identification of Hammerstein systems whose outputs are measured by quantized sensors. The system consists of a memoryless nonlinearity that is polynomi...
Yanlong Zhao, Ji-Feng Zhang, Le Yi Wang, Gang Geor...