In this paper we investigate a computational model of word learning that is cognitively plausible. The model is partly trained on incorrect form-referent pairings, modelling the i...
We present a semi-Markov model for recognizing scene text that integrates character and word segmentation with recognition. Using wavelet features, it requires only approximate lo...
Allen R. Hanson, Erik G. Learned-Miller, Jerod J. ...
To add to WordNet's contents, and specifically to aid automatic reasoning with WordNet, we classify and label the current relations among derivationally and semantically rela...
Christiane Fellbaum, Anne Osherson, Peter E. Clark
Modeling is a severe bottleneck for computer graphics applications. Manual modeling is time consuming and fails to capture the complexity of real world scenes. Automated modeling b...
The Bag-of-visual Words (BoW) image representation has been applied for various problems in the fields of multimedia and computer vision. The basic idea is to represent images as ...
Shiliang Zhang, Qi Tian, Gang Hua, Qingming Huang,...