627 search results - page 2 / 126 » Structural Learning of Activities from Sparse Datasets |
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
DAGM
2009
Springer
13 years 11 months ago
2009
Springer
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...
JMLR
2012
11 years 7 months ago
2012
Standard compressive sensing results state that to exactly recover an s sparse signal in Rp , one requires O(s · log p) measurements. While this bound is extremely useful in prac...
ECAI
2004
Springer
13 years 10 months ago
2004
Springer
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
As computer vision research considers more object categories and greater variation within object categories, it is clear that larger and more exhaustive datasets are necessary. How...