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» On the Complexity of Model Expansion
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CVPR
2010
IEEE
16 years 3 months ago
Learning Mid-Level Features For Recognition
Many successful models for scene or object recognition transform low-level descriptors (such as Gabor filter responses, or SIFT descriptors) into richer representations of interme...
Y-Lan Boureau, Francis Bach, Yann LeCun, Jean Ponc...
CHI
2010
ACM
16 years 1 months ago
Prefab: implementing advanced behaviors using pixel-based reverse engineering of interface structure
Current chasms between applications implemented with different user interface toolkits make it difficult to implement and explore potentially important interaction techniques in n...
Morgan Dixon, James Fogarty
EDBTW
2010
Springer
16 years 1 months ago
Quantile-based bootstrap methods to generate continuous synthetic data
To face the increasing demand from users, National Statistical Institutes (NSI) release different information products. The dissemination of this information should be performed ...
Daniela Ichim
CGO
2009
IEEE
16 years 1 months ago
Automatic Feature Generation for Machine Learning Based Optimizing Compilation
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
Hugh Leather, Edwin V. Bonilla, Michael O'Boyle
CVPR
2009
IEEE
16 years 1 months ago
Learning multi-modal densities on Discriminative Temporal Interaction Manifold for group activity recognition
While video-based activity analysis and recognition has received much attention, existing body of work mostly deals with single object/person case. Coordinated multi-object activi...
Ruonan Li, Rama Chellappa, Shaohua Kevin Zhou
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