From Region Similarity to Category Discovery Carolina Galleguillos† Brian McFee† Serge Belongie† Gert Lanckriet‡ † Computer Science and Engineering Department

First Page		Document Content
Date: 2015-03-31 11:15:28 K-nearest neighbor algorithm Supervised learning Support vector machine Large margin nearest neighbor Semidefinite embedding Statistical classification Spectral clustering Positive-definite kernel Statistics Machine learning Artificial intelligence		From Region Similarity to Category Discovery Carolina Galleguillos† Brian McFee† Serge Belongie† Gert Lanckriet‡ † Computer Science and Engineering Department Add to Reading List Source URL: bmcfee.github.io Download Document from Source Website File Size: 1,36 MB Share Document on Facebook

	STABLE GABOR PHASE RETRIEVAL AND SPECTRAL CLUSTERING PHILIPP GROHS AND MARTIN RATHMAIR Abstract. We consider the problem of reconstructing a signal f from its spectrogram, i.e., the magnitudes \|Vϕ f \| of its Gabor trans DocID: 1uWf1 - View Document
	Stat 991: Multivariate Analysis, Dimensionality Reduction, and Spectral Methods Lecture: 9 Clustering; Single Linkage; and Pairwise Distance Concentration Instructor: Sham Kakade DocID: 1uzEx - View Document
	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Signed Laplacian for Spectral Clustering Revisited Knyazev, A. TR2017-001 DocID: 1tKcn - View Document
	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Preconditioned Spectral Clustering for Zhuzhunashvili, D.; Knyazev, A. TR2017-131 DocID: 1tJ99 - View Document
	SUBSPACE CLUSTERING VIA THRESHOLDING AND SPECTRAL CLUSTERING Reinhard Heckel and Helmut B¨olcskei Dept. of IT & EE, ETH Zurich, Switzerland ABSTRACT We consider the problem of clustering a set of highdimensional data po DocID: 1tJ0c - View Document