Computer vision systems use image features to detect and categorize objects in visual scenes. In this University of Washington program, learn about Erik Sudderth MIT/UC Berkeley research that explores hierarchical models using contextual and geometric relationships for more effective learning from large, partially labeled image databases. (Series: CSE Colloquia - 2008)
Universal Benefit from Information Technology is a University of Washington program researching innovative approaches to provide access to, and use of, information technology. The research is...
This University of Washington talk addresses software monoculture, many computers running the same application, which offers benefits for system administrators and users. But, every copy of the...
Interactive visualizations leverage human visual processing and cognition to increase the scale of information with which we can effectively work. However, most visualization research to date...
The goal of the Educational Technology Group is to enhance education through novel deployments of computing technology. This includes improving the classroom experience by creating tools that allow...
See the diverse pathways students pursue after receiving Bachelors degrees in computer science or computer engineering. Computer scientists work in a broad range of interesting fields, and an...
Many problems in robotics have unknown, stochastic, high-dimensional, and highly non-linear dynamics and offer significant challenges to classical control methods. This talk will present learning...
University of Washington President Mark Emmert and the department of Computer Science and Engineering host Microsoft co-founder Bill Gates for the final stop of his six-university tour, as Gates...
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