Eric Horvitz receives the ACM-AAAI Allen Newell Award for his contributions to artificial intelligence and human-computer interaction spanning the computing and decision sciences through developing principles and models of sensing, reflection, and rational action.
In this paper, we instantly infer the gas consumption and pollution emission of vehicles traveling on a city’s road network in current time slot, using GPS trajectories from a sample of vehicles (e.g., taxicabs). The knowledge cannot only be used to suggest cost-efficient driving routes…
Infer the noise situation of New York City throughout a city based on 311 complaints, social media, points of interests and road networks. compare noise situation of different regions.
Click to download video We study the problem of how to segment a freehand sketch at the object level. By carefully considering the basic principles of human perceptual organization, a real-time solution is presented to automatically segment a user’s sketch during his/her drawing. First, a…
[1] Inferring real-time and fine-grained air quality throughout a city using a diversity of datasets, such as meteorology, traffic and geographical data. The publication about this video can be found at https://www.microsoft.com/en-us/research/publication/u-air-when-urban-air-quality-inference-meets-big-data/ [2] Forecast air quality over near future in a city based on big…
Click to download video We systematically study how to incorporate users’ correction and editing into isolated and full sketch recognition. This is a natural and necessary interaction in real systems such as Visio where very similar shapes exist. First, a novel algorithm is proposed to…
