Abstract. This paper proposes a generic extension to propositional rule learners to handle multiple-instance data. In a multiple-instance representation, each learning example is r...
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
We present a novel ``dynamic learning'' approach for an intelligent image database system to automatically improve object segmentation and labeling without user interven...
We present a fast, robust, and low cost pupil detection technique that uses two near infra red time multiplexed light sources synchronized with the camera frame rate. The two ligh...
Carlos Hitoshi Morimoto, David Koons, Arnon Amir, ...