69 search results - page 1 / 14 » Learning Over Multiple Temporal Scales in Image Databases |
81
Voted
ECCV
2000
Springer
16 years 24 days ago
2000
Springer
Abstract. The ability to learn from user interaction is an important asset for content-based image retrieval (CBIR) systems. Over short times scales, it enables the integration of ...
KDD
1997
ACM
15 years 3 months ago
1997
ACM
In this paper, we describe the JAM system, a distributed, scalable and portable agent-based data mining system that employs a general approach to scaling data mining applications ...
106
Voted
CVPR
2004
IEEE
16 years 29 days ago
2004
IEEE
In this paper, we consider the problem of super-resolving a human face video by a very high (?16) zoom factor. Inspired by recent literature on hallucination and examplebased lear...
96
Voted
ECCV
2004
Springer
16 years 25 days ago
2004
Springer
Detecting low-level image features such as edges and ridges with spatial filters is improved if the scale of the features are known a priori. Scale-space representations and wavele...
ICIP
2007
IEEE
16 years 19 days ago
2007
IEEE
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...