1018 search results - page 97 / 204 » Learning Probabilistic Models of Contours |
132
Voted
AAAI
2008
15 years 5 months ago
2008
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...
141
Voted
RECOMB
2001
Springer
16 years 3 months ago
2001
Springer
The recent growth in genomic data and measurements of genome-wide expression patterns allows us to apply computational tools to examine gene regulation by transcription factors. I...
132
Voted
KDD
2004
ACM
16 years 3 months ago
2004
ACM
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
139
Voted
ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
131
Voted
ICCV
2003
IEEE
16 years 4 months ago
2003
IEEE
Learning visual models of object categories notoriously requires thousands of training examples; this is due to the diversity and richness of object appearance which requires mode...