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TIP
2010
97views more  TIP 2010»
15 years 1 months ago
Image Clustering Using Local Discriminant Models and Global Integration
In this paper, we propose a new image clustering algorithm, referred to as Clustering using Local Discriminant Models and Global Integration (LDMGI). To deal with the data points s...
Yi Yang, Dong Xu, Feiping Nie, Shuicheng Yan, Yuet...
AAAI
2008
15 years 9 months ago
Learning to Analyze Binary Computer Code
We present a novel application of structured classification: identifying function entry points (FEPs, the starting byte of each function) in program binaries. Such identification ...
Nathan E. Rosenblum, Xiaojin Zhu, Barton P. Miller...
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
15 years 7 months ago
Modularity and symmetry in computational embryogeny
Modularity and symmetry are two properties observed in almost every engineering and biological structure. The origin of these properties in nature is still unknown. Yet, as engine...
Or Yogev, Andrew A. Shapiro, Erik K. Antonsson
ECCV
2006
Springer
16 years 8 months ago
Coloring Local Feature Extraction
Although color is commonly experienced as an indispensable quality in describing the world around us, state-of-the art local featurebased representations are mostly based on shape ...
Joost van de Weijer, Cordelia Schmid
ICPR
2004
IEEE
16 years 7 months ago
Image Analysis Through Local Information Measures
The properties of local image statistics are analyzed in a classic information theoretic setting. Local spatiochromatic image elements are projected into a space in which constitu...
Neil Bruce