2299 search results - page 252 / 460 » Inference and Learning in Planning |
240
click to vote
CVPR
2006
IEEE
16 years 8 months ago
2006
IEEE
We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...
204
click to vote
CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
186
click to vote
ECCV
2008
Springer
16 years 8 months ago
2008
Springer
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
204
click to vote
ICIP
2005
IEEE
16 years 8 months ago
2005
IEEE
This paper presents a method to infer hidden semantic cues by accumulating the knowledge learned from relevance feedback sessions. We propose to explicitly represent a semantic sp...
163
click to vote
ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...