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MICRO
1996
IEEE
106views Hardware» more  MICRO 1996»
15 years 10 months ago
Optimization of Machine Descriptions for Efficient Use
A machine description facility allows compiler writers to specify machine execution constraints to the optimization and scheduling phases of an instruction-level parallelism (ILP)...
John C. Gyllenhaal, Wen-mei W. Hwu, B. Ramakrishna...
ICML
2004
IEEE
16 years 7 months ago
Multi-task feature and kernel selection for SVMs
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
Tony Jebara
ICML
2009
IEEE
16 years 1 months ago
Fast evolutionary maximum margin clustering
The maximum margin clustering approach is a recently proposed extension of the concept of support vector machines to the clustering problem. Briefly stated, it aims at finding a...
Fabian Gieseke, Tapio Pahikkala, Oliver Kramer
ACML
2009
Springer
15 years 10 months ago
Max-margin Multiple-Instance Learning via Semidefinite Programming
In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...
Yuhong Guo
ERCIMDL
2010
Springer
180views Education» more  ERCIMDL 2010»
15 years 3 months ago
SciPlore Xtract: Extracting Titles from Scientific PDF Documents by Analyzing Style Information (Font Size)
Extracting titles from a PDFs full text is an important task in information retrieval to identify PDFs. Existing approaches apply complicated and expensive (in terms of calculating...
Jöran Beel, Bela Gipp, Ammar Shaker, Nick Fri...