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» Shape Priors using Manifold Learning Techniques
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139
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INFOCOM
2012
IEEE
13 years 4 months ago
Memory-assisted universal compression of network flows
—Recently, the existence of considerable amount of redundancy in the Internet traffic has stimulated the deployment of several redundancy elimination techniques within the netwo...
Mohsen Sardari, Ahmad Beirami, Faramarz Fekri
PLDI
2010
ACM
15 years 6 months ago
Supporting speculative parallelization in the presence of dynamic data structures
The availability of multicore processors has led to significant interest in compiler techniques for speculative parallelization of sequential programs. Isolation of speculative s...
Chen Tian, Min Feng, Rajiv Gupta
CHI
1999
ACM
15 years 6 months ago
Cooperative Inquiry: Developing new Technologies for Children with Children
In today’s homes and schools, children are emerging as frequent and experienced users of technology [3, 14]. As this trend continues, it becomes increasingly important to ask if...
Allison Druin
128
Voted
AGENTS
2000
Springer
15 years 6 months ago
Automated assistants to aid humans in understanding team behaviors
Multi-agent teamwork is critical in a large number of agent applications, including training, education, virtual enterprises and collective robotics. Tools that can help humans an...
Taylor Raines, Milind Tambe, Stacy Marsella
ICCV
2001
IEEE
16 years 3 months ago
Robust Principal Component Analysis for Computer Vision
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
Fernando De la Torre, Michael J. Black