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» Constellations and the Unsupervised Learning of Graphs
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ICMCS
2005
IEEE
162views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Clustering of Video Objects by Graph Matching
We propose a new graph-based data structure, called Spatio Temporal Region Graph (STRG) which can represent the content of video sequence. Unlike existing ones which consider main...
JeongKyu Lee, Jung-Hwan Oh, Sae Hwang
CVPR
2010
IEEE
14 years 3 months ago
Object-Graphs for Context-Aware Category Discovery
How can knowing about some categories help us to discover new ones in unlabeled images? Unsupervised visual category discovery is useful to mine for recurring objects without huma...
Yong Jae Lee, Kristen Grauman
ICANN
2007
Springer
14 years 1 months ago
Unbiased SVM Density Estimation with Application to Graphical Pattern Recognition
Abstract. Classification of structured data (i.e., data that are represented as graphs) is a topic of interest in the machine learning community. This paper presents a different,...
Edmondo Trentin, Ernesto Di Iorio
DATAMINE
2010
161views more  DATAMINE 2010»
13 years 5 months ago
Predicting labels for dyadic data
: In dyadic prediction, the input consists of a pair of items (a dyad), and the goal is to predict the value of an observation related to the dyad. Special cases of dyadic predicti...
Aditya Krishna Menon, Charles Elkan
CVPR
2008
IEEE
14 years 9 months ago
Semi-supervised distance metric learning for Collaborative Image Retrieval
Typical content-based image retrieval (CBIR) solutions with regular Euclidean metric usually cannot achieve satisfactory performance due to the semantic gap challenge. Hence, rele...
Steven C. H. Hoi, Wei Liu, Shih-Fu Chang