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MLG
2007
Springer
14 years 1 months ago
A Universal Kernel for Learning Regular Languages
We give a universal kernel that renders all the regular languages linearly separable. We are not able to compute this kernel efficiently and conjecture that it is intractable, but...
Leonid Kontorovich
ICCAD
2007
IEEE
98views Hardware» more  ICCAD 2007»
14 years 4 months ago
Device-circuit co-optimization for mixed-mode circuit design via geometric programming
Modern processing technologies offer a number of types of devices such as high-VT , low-VT , thick-oxide, etc. in addition to the nominal transistor in order to meet system perfor...
Jintae Kim, Ritesh Jhaveri, Jason Woo, Chih-Kong K...
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 8 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
CIKM
2009
Springer
14 years 4 days ago
Heterogeneous cross domain ranking in latent space
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang,...
CVPR
2010
IEEE
13 years 7 months ago
Total Bregman divergence and its applications to shape retrieval
Shape database search is ubiquitous in the world of biometric systems, CAD systems etc. Shape data in these domains is experiencing an explosive growth and usually requires search...
Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank...