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authorId(s): 1692670
Author(s): Brian Kulis
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2802
Adapting Visual Category Models to New Domains
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2010
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Information-theoretic metric learning
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2006
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Kernel k-means: spectral clustering and normalized cuts
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2004
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Weighted Graph Cuts without Eigenvectors A Multilevel Approach
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2007
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Kernelized locality-sensitive hashing for scalable image search
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Metric Learning: A Survey
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Learning to Hash with Binary Reconstructive Embeddings
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What you saw is not what you get: Domain adaptation using asymmetric kernel transforms
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Semi-supervised graph clustering: a kernel approach
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R. Mooney
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Revisiting k-means: New Algorithms via Bayesian Nonparametrics
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Michael I. Jordan
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