21 search results - page 4 / 5 » Generalized Clustering via Kernel Embeddings |
105
Voted
CVPR
2012
IEEE
12 years 12 months ago
2012
IEEE
Mode-seeking has been widely used as a powerful data analysis technique for clustering and filtering in a metric feature space. We introduce a versatile and efficient modeseekin...
152
Voted
VLSISP
2011
14 years 4 months ago
2011
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
ICALP
2009
Springer
15 years 9 months ago
2009
Springer
Correlation Clustering was defined by Bansal, Blum, and Chawla as the problem of clustering a set of elements based on a possibly inconsistent binary similarity function between e...
HASKELL
2005
ACM
15 years 3 months ago
2005
ACM
Some Lisp programs such as Emacs, but also the Linux kernel (when fully modularised) are mostly dynamic; i.e., apart from a small static core, the significant functionality is dy...
111
Voted
VLSID
2009
IEEE
15 years 10 months ago
2009
IEEE
Many system-level design tasks (e.g. timing analysis, hardware/software partitioning and design space exploration) involve computational kernels that are intractable (usually NP-ha...