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» Learning nonparametric kernel matrices from pairwise constra...
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IVC
2007
176views more  IVC 2007»
10 years 1 months ago
Kernel-based distance metric learning for content-based image retrieval
ct 8 For a speciļ¬c set of features chosen for representing images, the performance of a content-based image retrieval (CBIR) system 9 depends critically on the similarity or diss...
Hong Chang, Dit-Yan Yeung
ICDM
2010
IEEE
135views Data Mining» more  ICDM 2010»
9 years 11 months ago
Learning a Bi-Stochastic Data Similarity Matrix
An idealized clustering algorithm seeks to learn a cluster-adjacency matrix such that, if two data points belong to the same cluster, the corresponding entry would be 1; otherwise ...
Fei Wang, Ping Li, Arnd Christian König
CORR
2011
Springer
177views Education» more  CORR 2011»
9 years 5 months ago
Gossip PCA
Eigenvectors of data matrices play an important role in many computational problems, ranging from signal processing to machine learning and control. For instance, algorithms that ...
Satish Babu Korada, Andrea Montanari, Sewoong Oh

Publication
207views
10 years 11 months ago
Incorporating Higher-Order Cues in Image Colorization
We consider the colorization problem of grayscale images when some pixels, called scribbles, with initial colors are given. In this paper, we propose a new multi-layer graph model ...
Tae Hoon Kim (Seoul National University), Kyoung M...
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