Visual learning depends on both the algorithms and the training material. This essay
considers the natural statistics of infant-and toddler-egocentric vision. These natural training …

Real-world learning systems have practical limitations on the quality and quantity of the
training datasets that they can collect and consider. How should a system go about choosing …

New efforts are using head cameras and eye-trackers worn by infants to capture everyday
visual environments from the point of view of the infant learner. From this vantage point, the …

Infants possess a remarkable ability to rapidly learn and process visual inputs. As an infant's
mobility increases, so does the variety and dynamics of their visual inputs. Is this change in …

Within months of birth, children develop meaningful expectations about the world around
them. How much of this early knowledge can be explained through generic learning …

We offer a new solution to the unsolved problem of how infants break into word learning
based on the visual statistics of everyday infant-perspective scenes. Images from head …

This study investigates whether infants are sensitive to backward and forward transitional
probabilities within temporal and spatial visual streams. Two groups of 8‐month‐old infants …

We recently demonstrated that observers are capable of encoding not only summary
statistics, such as mean and variance of stimulus ensembles, but also the shape of the …

The ability of humans to recognize a nearly unlimited number of unique visual objects must
be based on a robust and efficient learning mechanism that extracts complex visual features …

How can a computing system as complex as the human visual system be specified and
constructed? Recent discoveries of widespread spontaneous neural activity suggest a …