— This paper describes a Markov random field (MRF) model with weighting parameters optimized by conditional random field (CRF) for on-line recognition of handwritten Japanese cha...
— In Handwritten Character Recognition, zoning is rigtly considered as one of the most effective feature extraction techniques. In the past, many zoning methods have been propose...
In this paper, we propose a new prototype learning/matching method that can be combined with support vector machines (SVM) in pattern recognition. This hybrid method has the follo...
In this paper we introduce a system that automatically adds different types of non-verbal behavior to a given dialogue script between two virtual embodied agents. It allows us to ...
Werner Breitfuss, Helmut Prendinger, Mitsuru Ishiz...
We propose a pipelined field-merge architecture for memory-efficient and high-throughput large-scale string matching (LSSM). Our proposed architecture partitions the (8-bit) charac...