Sciweavers

1039 search results - page 113 / 208
» Kernels and Regularization on Graphs
Sort
View
90
Voted
ICML
2008
IEEE
16 years 1 months ago
An RKHS for multi-view learning and manifold co-regularization
Inspired by co-training, many multi-view semi-supervised kernel methods implement the following idea: find a function in each of multiple Reproducing Kernel Hilbert Spaces (RKHSs)...
Vikas Sindhwani, David S. Rosenberg
146
Voted
SIGIR
2012
ACM
13 years 3 months ago
Boosting multi-kernel locality-sensitive hashing for scalable image retrieval
Similarity search is a key challenge for multimedia retrieval applications where data are usually represented in high-dimensional space. Among various algorithms proposed for simi...
Hao Xia, Pengcheng Wu, Steven C. H. Hoi, Rong Jin
119
Voted
IEICET
2010
101views more  IEICET 2010»
14 years 11 months ago
Irregular Sampling on Shift Invariant Spaces
Let V (φ) be a shift invariant subspace of L2 (R) generated by a Riesz or frame generator φ(t) in L2 (R). We assume that φ(t) is suitably chosen so that V (φ) becomes a reprod...
Kil Hyun Kwon, Jaekyu Lee
ICPR
2004
IEEE
16 years 1 months ago
Structural Graph Matching With Polynomial Bounds On Memory and on Worst-Case Effort
A new method of structural graph matching is introduced and compared against an existing method and against the maximum common subgraph. The method is approximate with polynomial ...
Fred W. DePiero
ISPAN
2005
IEEE
15 years 6 months ago
The structure of super line graphs
For a given graph G = (V, E) and a positive integer k, the super line graph of index k of G is the graph Sk(G) which has for vertices all the k-subsets of E(G), and two vertices S...
Jay Bagga, Daniela Ferrero