1416 search results - page 116 / 284 » The Kernel Least-Mean-Square Algorithm |
131
Voted
JIIS
2006
15 years 3 months ago
2006
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...
137
Voted
ICCV
2009
IEEE
16 years 8 months ago
2009
IEEE
Common visual codebook generation methods used in
a Bag of Visual words model, e.g. k-means or Gaussian
Mixture Model, use the Euclidean distance to cluster features
into visual...
111
click to vote
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
In multiple instance learning (MIL), how the instances determine the bag-labels is an essential issue, both algorithmically and intrinsically. In this paper, we show that the mech...
115
Voted
SC
2009
ACM
15 years 10 months ago
2009
ACM
Memory bandwidth limits the performance of important kernels in many scientific applications. Such applications often use sequences of Basic Linear Algebra Subprograms (BLAS), an...
127
Voted
PKDD
2009
Springer
15 years 10 months ago
2009
Springer
A core problem in data mining is to retrieve data in a easy and human friendly way. Automatically translating natural language questions into SQL queries would allow for the design...