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» Application of Level Set Methods in Computer Vision
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TKDE
2008
128views more  TKDE 2008»
15 years 6 months ago
Mixed-Drove Spatiotemporal Co-Occurrence Pattern Mining
Mixed-drove spatiotemporal co-occurrence patterns (MDCOPs) represent subsets of two or more different object-types whose instances are often located in spatial and temporal proximi...
Mete Celik, Shashi Shekhar, James P. Rogers, James...
TSP
2010
15 years 1 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
166
Voted
DCC
2000
IEEE
15 years 11 months ago
The Skip-Innovation Model for Sparse Images
On sparse images, contiguous runs of identical symbols often occur in the same coding context. This paper proposes a model for efficiently encoding such runs in a twodimensional s...
Paul J. Ausbeck Jr.
ICCS
2007
Springer
16 years 27 days ago
Density Based Fuzzy Membership Functions in the Context of Geocomputation
Geocomputation has a long tradition in dealing with fuzzyness in different contexts, most notably in the challenges created by the representation of geographic space in digital for...
Victor Sousa Lobo, Fernando Bação, M...
TOG
2008
200views more  TOG 2008»
15 years 6 months ago
Improved seam carving for video retargeting
Video, like images, should support content aware resizing. We present video retargeting using an improved seam carving operator. Instead of removing 1D seams from 2D images we rem...
Michael Rubinstein, Ariel Shamir, Shai Avidan