372 search results - page 40 / 75 » Covariance Kernels from Bayesian Generative Models |
ICDM
2008
IEEE
14 years 2 months ago
2008
IEEE
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
AIED
2007
Springer
14 years 1 months ago
2007
Springer
Students’ actions while working with a tuoring system were used to generate estimates of learning goals, specifically, the goal of learning by using multimedia help resources, an...
ICPR
2000
IEEE
14 years 8 months ago
2000
IEEE
Invariance is an important aspect in image object recognition. We present results obtained with an extended tangent distance incorporated in a kernel density based Bayesian classi...
ICS
2009
Tsinghua U.
14 years 2 months ago
2009
Tsinghua U.
In this work, we propose a new FPGA design flow that combines the CUDA programming model from Nvidia with the state of the art high-level synthesis tool AutoPilot from AutoESL, to...
NIPS
2008
13 years 9 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...