624 search results - page 94 / 125 » The Tradeoffs of Large Scale Learning |
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
The core vector machine (CVM) is a recent approach for scaling up kernel methods based on the notion of minimum enclosing ball (MEB). Though conceptually simple, an efficient impl...
ECML
2006
Springer
14 years 22 days ago
2006
Springer
Recent scaling up of POMDP solvers towards realistic applications is largely due to point-based methods such as PBVI, Perseus, and HSVI, which quickly converge to an approximate so...
NIPS
2008
13 years 10 months ago
2008
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
We present a novel method for the discovery and detection of visual object categories based on decompositions using topic models. The approach is capable of learning a compact and...
ICCV
2007
IEEE
14 years 11 months ago
2007
IEEE
We propose a novel and robust model to represent and learn generic 3D object categories. We aim to solve the problem of true 3D object categorization for handling arbitrary rotati...