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DSSCV
2005
Springer
14 years 4 months ago
Deep Structure of Images in Populations Via Geometric Models in Populations
We face the question of how to produce a scale space of image intensities relative to a scale space of objects or other characteristic image regions filling up the image space, whe...
Stephen M. Pizer, Ja-Yeon Jeong, Robert E. Broadhu...
ICCAD
1999
IEEE
78views Hardware» more  ICCAD 1999»
14 years 3 months ago
Probabilistic state space search
This paper describes a probabilistic approach to state space search. The presented method applies a ranking of the design states according to their probability of reaching a given...
Andreas Kuehlmann, Kenneth L. McMillan, Robert K. ...
FOSSACS
2005
Springer
14 years 4 months ago
Stochastic Transition Systems for Continuous State Spaces and Non-determinism
Abstract. We study the interaction between non-deterministic and probabilistic behaviour in systems with continuous state spaces, arbitrary probability distributions and uncountabl...
Stefano Cattani, Roberto Segala, Marta Z. Kwiatkow...
NIPS
2004
14 years 17 days ago
The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space
A new distance measure between probability density functions (pdfs) is introduced, which we refer to as the Laplacian pdf distance. The Laplacian pdf distance exhibits a remarkabl...
Robert Jenssen, Deniz Erdogmus, José Carlos...
TIP
2008
177views more  TIP 2008»
13 years 11 months ago
Visual Tracking in High-Dimensional State Space by Appearance-Guided Particle Filtering
Abstract--In this paper, we propose a new approach, appearance-guided particle filtering (AGPF), for high degree-of-freedom visual tracking from an image sequence. This method adop...
Wen-Yan Chang, Chu-Song Chen, Yong-Dian Jian