This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the ...
This paper formulates the optic flow problem as a set of over-determined simultaneous linear equations. It then introduces and studies two new robust optic flow methods. The fir...
Factorization algorithms for recovering structure and motion from an image stream have many advantages, but they usually require a set of well tracked features. Such a set is in g...
The performance of any word recognizer depends on the lexicon presented. Usually large lexicons or lexicons containing similar entries pose greater difficulty for recognizers. How...
A similarity measure is described that does not require the prior specification of features or the need for training sets of representative data. Instead large numbers of feature...