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» Variations on U-Shaped Learning
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ISBI
2011
IEEE
13 years 6 days ago
Automated estimation of microtubule model parameters from 3-D live cell microscopy images
While basic principles of microtubule organization are well understood, much remains to be learned about the extent and significance of variation in that organization among cell t...
Aabid Shariff, Robert F. Murphy, Gustavo K. Rohde
GRAPHICSINTERFACE
2011
12 years 12 months ago
Formation sketching: an approach to stylize groups in crowd simulation
Most of existing crowd simulation algorithms focus on the moving trajectories of individual agents, while collective group formations are often roughly learned from video examples...
Qin Gu, Zhigang Deng
ACL
2012
11 years 11 months ago
Named Entity Disambiguation in Streaming Data
The named entity disambiguation task is to resolve the many-to-many correspondence between ambiguous names and the unique realworld entity. This task can be modeled as a classifi...
Alexandre Davis, Adriano Veloso, Altigran Soares d...
DAC
2010
ACM
14 years 4 days ago
Quality metric evaluation of a physical unclonable function derived from an IC's power distribution system
The level of security provided by digital rights management functions and cryptographic protocols depend heavily on the security of an embedded secret key. The current practice of...
Ryan Helinski, Dhruva Acharyya, Jim Plusquellic
ML
2008
ACM
13 years 8 months ago
A bias/variance decomposition for models using collective inference
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen