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» Application of Level Set Methods in Computer Vision
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CVPR
2011
IEEE
15 years 2 months ago
Object Cosegmentation
Cosegmentation is typically defined as the task of jointly segmenting “something similar” in a given set of images. Existing methods are too generic and so far have not demon...
Sara Vicente, Carsten Rother, Vladimir Kolmogorov
SOCO
2008
Springer
15 years 6 months ago
Tabu search for attribute reduction in rough set theory
Attribute reduction of an information system is a key problem in rough set theory and its applications. Using computational intelligence (CI) tools to solve such problems has rece...
Abdel-Rahman Hedar, Jue Wang, Masao Fukushima
167
Voted
ACSC
2008
IEEE
16 years 1 months ago
Privacy preserving set intersection based on bilinear groups
We propose a more efficient privacy preserving set intersection protocol which improves the previously known result by a factor of O(N) in both the computation and communication c...
Yingpeng Sang, Hong Shen
FIRBPERF
2005
IEEE
235views Algorithms» more  FIRBPERF 2005»
16 years 4 days ago
Performance Model Building of Pervasive Computing
Performance model building is essential to predict the ability of an application to satisfy given levels of performance or to support the search for viable alternatives. Using aut...
Andrea D'Ambrogio, Giuseppe Iazeolla
WIAMIS
2009
IEEE
16 years 1 months ago
Towards fully un-supervised methods for generating object detection classifiers using social data
In this work a framework for constructing object detection classifiers using weakly annotated social data is proposed. Social information is combined with computer vision techniq...
Spiros Nikolopoulos, Elisavet Chatzilari, Eirini G...