69 search results - page 3 / 14 » Learning Over Multiple Temporal Scales in Image Databases |
SIGGRAPH
2010
ACM
13 years 9 months ago
2010
ACM
We present a novel approach for summarizing video in the form of a multiscale image that is continuous in both the spatial domain and across the scale dimension: There are no hard...
MIR
2005
ACM
13 years 11 months ago
2005
ACM
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
In this paper, we propose a novel supervised hierarchical sparse coding model based on local image descriptors for classification tasks. The supervised dictionary training is perf...
ICCV
2001
IEEE
14 years 7 months ago
2001
IEEE
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
ICDE
2012
IEEE
11 years 7 months ago
2012
IEEE
—“Big Data” in map-reduce (M-R) clusters is often fundamentally temporal in nature, as are many analytics tasks over such data. For instance, display advertising uses Behavio...