An Empirical-Statistical Agenda for Recognition
This piece first describes what I see as the significant weaknesses in current un- derstanding of object recognition. We lack good schemes for: using unreliable information — like radiometric measurements — effectively; integrating poten- tially contradictory cues; revising hypotheses in the presence of new information; determining potential representations from data; and suppressing individual dif- ferences to obtain abstract classes. The problems are difficult, but none are unapproachable, given a change of emphasis in our research.