557 search results - page 59 / 112 » Learning programs from noisy data |
121
Voted
BMCBI
2007
15 years 2 months ago
2007
Background: Identifying relevant research in an ever-growing body of published literature is becoming increasingly difficult. Establishing domain-specific knowledge bases may be a...
108
click to vote
ICCV
2003
IEEE
16 years 4 months ago
2003
IEEE
Many sensing techniques and image processing applications are characterized by noisy, or corrupted, image data. Anisotropic diffusion is a popular, and theoretically well understo...
164
Voted
ECCV
2010
Springer
15 years 8 months ago
2010
Springer
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
95
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
Dimensionality reduction is the problem of finding a low-dimensional representation of highdimensional input data. This paper examines the case where additional information is kno...
117
Voted
CVPR
2008
IEEE
15 years 9 months ago
2008
IEEE
Spatial pyramid matching (SPM) is a simple yet effective approach to compute similarity between images. Similarity kernels at different regions and scales are usually fused by som...