Sciweavers

21 search results - page 3 / 5
» Generalized Clustering via Kernel Embeddings
Sort
View
ICDM
2010
IEEE
200views Data Mining» more  ICDM 2010»
14 years 6 months ago
Bayesian Maximum Margin Clustering
Abstract--Most well-known discriminative clustering models, such as spectral clustering (SC) and maximum margin clustering (MMC), are non-Bayesian. Moreover, they merely considered...
Bo Dai, Baogang Hu, Gang Niu
MLG
2007
Springer
15 years 3 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
NIPS
2008
14 years 11 months ago
Dimensionality Reduction for Data in Multiple Feature Representations
In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. These representa...
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
GIS
2009
ACM
15 years 2 months ago
Conceptualization of place via spatial clustering and co-occurrence analysis
More and more users are contributing and sharing more and more contents on the Web via the use of content hosting sites and social media services. These user–generated contents ...
Dong-Po Deng, Tyng-Ruey Chuang, Rob Lemmens
IPPS
2009
IEEE
15 years 4 months ago
DMTCP: Transparent checkpointing for cluster computations and the desktop
DMTCP (Distributed MultiThreaded CheckPointing) is a transparent user-level checkpointing package for distributed applications. Checkpointing and restart is demonstrated for a wid...
Jason Ansel, Kapil Arya, Gene Cooperman