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» Algorithmic detection of semantic similarity
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MM
2005
ACM
178views Multimedia» more  MM 2005»
14 years 3 months ago
Attention region selection with information from professional digital camera
The attentive region extraction is a challenging issue for semantic interpretation of image and video content. The successful attentive region extraction greatly facilitates image...
Song Liu, Liang-Tien Chia, Deepu Rajan
SISAP
2009
IEEE
149views Data Mining» more  SISAP 2009»
14 years 4 months ago
Combinatorial Framework for Similarity Search
—We present an overview of the combinatorial framework for similarity search. An algorithm is combinatorial if only direct comparisons between two pairwise similarity values are ...
Yury Lifshits
ICMCS
2005
IEEE
153views Multimedia» more  ICMCS 2005»
14 years 3 months ago
Improved semantic region labeling based on scene context
Semantic region labeling in outdoor scenes, e.g., identifying sky, grass, foliage, water, and snow, facilitates content-based image retrieval, organization, and enhancement. A maj...
Matthew R. Boutell, Jiebo Luo, Christopher M. Brow...
VLDB
1994
ACM
133views Database» more  VLDB 1994»
14 years 1 months ago
Composite Events for Active Databases: Semantics, Contexts and Detection
Making a database system active entails developing an expressive event specification language with well-defined semantics, algorithms for the detection of composite events, and an...
Sharma Chakravarthy, V. Krishnaprasad, Eman Anwar,...
KDD
1995
ACM
135views Data Mining» more  KDD 1995»
14 years 1 months ago
Rough Sets Similarity-Based Learning from Databases
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
Xiaohua Hu, Nick Cercone