83 search results - page 2 / 17 » Dynamic Shape Learning and Forgetting |
ICONIP
2010
13 years 3 months ago
2010
Memory is often considered to be embedded into one of the attractors in neural dynamical systems, which provides an appropriate output depending on the initial state specified by ...
PAMI
2006
13 years 4 months ago
2006
In recent years, researchers have proposed to introduce statistical shape knowledge into level set based segmentation methods in order to cope with insufficient low-level informati...
CVPR
2004
IEEE
14 years 6 months ago
2004
IEEE
Variation in object shape is an important visual cue for deformable object recognition and classification. In this paper, we present an approach to model gradual changes in the ?-...
CASON
2010
IEEE
12 years 8 months ago
2010
IEEE
—The analysis of social networks is concentrated especially on uncovering hidden relations and properties of network members (vertices). Most of the current approaches are focuse...
ICCS
2007
Springer
13 years 10 months ago
2007
Springer
We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...