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» Learning Low-Level Vision
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ICVGIP
2004
13 years 10 months ago
A Framework for Activity Recognition and Detection of Unusual Activities
In this paper we present a simple framework for activity recognition based on a model of multi-layered finite state machines, built on top of a low level image processing module f...
Dhruv Mahajan, Nipun Kwatra, Sumit Jain, Prem Kalr...
BC
2002
70views more  BC 2002»
13 years 8 months ago
Mechanisms and significance of spike-timing dependent plasticity
Hebb's original postulate left two important issues unaddressed: (i) what is the effective time window between pre- and postsynaptic activity that will result in potentiation?...
Uma R. Karmarkar, Mark T. Najarian, Dean V. Buonom...
SAB
2010
Springer
242views Optimization» more  SAB 2010»
13 years 6 months ago
Autonomous Development of Social Referencing Skills
Abstract. In this work, we are interested in understanding how emotional interactions with a social partner can bootstrap increasingly complex behaviors such as social referencing....
Sofiane Boucenna, Philippe Gaussier, Laurence Hafe...
CVPR
2009
IEEE
15 years 3 months ago
Continuous Maximal Flows and Wulff Shapes: Application to MRFs
Convex and continuous energy formulations for low level vision problems enable efficient search procedures for the corresponding globally optimal solutions. In this work we exte...
Christopher Zach (UNC Chapel Hill), Marc Niethamme...
ICCV
2009
IEEE
15 years 1 months ago
Extending Continuous Cuts: Anisotropic Metrics and Expansion Moves
The concept of graph cuts is by now a standard method for all sorts of low level vision problems. Its popularity is largely due to the fact that globally or near globally optimal...
Carl Olsson, Martin Byr¨od, Niels Chr. Overgaard,...