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» Using Machine Learning to Focus Iterative Optimization
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ICS
2001
Tsinghua U.
15 years 7 months ago
Global optimization techniques for automatic parallelization of hybrid applications
This paper presents a novel technique to perform global optimization of communication and preprocessing calls in the presence of array accesses with arbitrary subscripts. Our sche...
Dhruva R. Chakrabarti, Prithviraj Banerjee
VIP
2003
15 years 4 months ago
Optimal Selection of Image Segmentation Algorithms Based on Performance Prediction
Using different algorithms to segment different images is a quite straightforward strategy for automated image segmentation. But the difficulty of the optimal algorithm selection ...
Yong Xia, David Dagan Feng, Rongchun Zhao
ICCV
2005
IEEE
15 years 8 months ago
Learning Non-Generative Grammatical Models for Document Analysis
— We present a general approach for the hierarchical segmentation and labeling of document layout structures. This approach models document layout as a grammar and performs a glo...
Michael Shilman, Percy Liang, Paul A. Viola
NIPS
2007
15 years 4 months ago
Multi-Task Learning via Conic Programming
When we have several related tasks, solving them simultaneously is shown to be more effective than solving them individually. This approach is called multi-task learning (MTL) and...
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, ...
PLDI
1999
ACM
15 years 7 months ago
Whole Program Paths
Whole program paths (WPP) are a new approach to capturing and representing a program’s dynamic—actually executed—control flow. Unlike other path profiling techniques, which ...
James R. Larus