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CVPR
2008
IEEE
14 years 9 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
CHI
2007
ACM
14 years 7 months ago
Supporting multi-point interaction in visual workspaces
Multi-point interaction tasks involve the manipulation of several mutually-dependent control points in a visual workspace ? for example, adjusting a selection rectangle in a drawi...
Garth Shoemaker, Carl Gutwin
ICIP
2001
IEEE
14 years 9 months ago
Analysis of cloudy structures evolution on meteorological satellite acquisitions
This paper concerns the characterization of clouds on meteorological satellite image sequences through points trajectories. These temporal curves can be computed from the result o...
Dominique Béréziat, Isabelle Herlin,...
CVPR
2006
IEEE
14 years 9 months ago
Supervised Learning of Edges and Object Boundaries
Edge detection is one of the most studied problems in computer vision, yet it remains a very challenging task. It is difficult since often the decision for an edge cannot be made ...
Piotr Dollár, Zhuowen Tu, Serge Belongie
SIAMSC
2008
139views more  SIAMSC 2008»
13 years 7 months ago
Probing the Pareto Frontier for Basis Pursuit Solutions
The basis pursuit problem seeks a minimum one-norm solution of an underdetermined least-squares problem. Basis pursuit denoise (BPDN) fits the least-squares problem only approximat...
Ewout van den Berg, Michael P. Friedlander