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CCCG
2007
13 years 11 months ago
Cache-Oblivious Output-Sensitive Two-Dimensional Convex Hull
We consider the problem of two-dimensional outputsensitive convex hull in the cache-oblivious model. That is, we are interested in minimizing the number of cache faults caused whe...
Peyman Afshani, Arash Farzan
NIPS
2008
13 years 11 months ago
Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
Guangzhi Cao, Charles A. Bouman
PST
2008
13 years 11 months ago
An Access Control Scheme for Protecting Personal Data
This paper presents a new personal data access control (PDAC) scheme that is inspired by the protection schemes practiced in communities for sharing valuable commodities. The PDAC...
Wilfred Villegas, Bader Ali, Muthucumaru Maheswara...
NIPS
2007
13 years 11 months ago
Structured Learning with Approximate Inference
In many structured prediction problems, the highest-scoring labeling is hard to compute exactly, leading to the use of approximate inference methods. However, when inference is us...
Alex Kulesza, Fernando Pereira
AAAI
2004
13 years 11 months ago
SOFIA's Choice: An AI Approach to Scheduling Airborne Astronomy Observations
We describe an innovative solution to the problem of scheduling astronomy observations for the Stratospheric Observatory for Infrared Astronomy, an airborne observatory. The probl...
Jeremy Frank, Michael A. K. Gross, Elif Kürkl...