Because of the heterogeneous nature of multiple data sources, data integration is often one of the most challenging tasks of today's information systems. While the existing l...
Zhengrui Jiang, Sumit Sarkar, Prabuddha De, Debabr...
Abstract. In this paper, we propose a new method for image classification, in which matrix based kernel features are designed to capture the multiple similarities between images in...
LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA ...
We investigate incremental word learning with few training examples in a Hidden Markov Model (HMM) framework suitable for an interactive learning scenario with little prior knowle...
This paper presents an off-line Arabic Handwriting recognition system based on the selection of different state of the art features and the combination of multiple Hidden Markov M...
Mahdi Hamdani, Haikal El Abed, Monji Kherallah, Ad...