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JMLR
2010
175views more  JMLR 2010»
14 years 8 months ago
Hierarchical Convex NMF for Clustering Massive Data
We present an extension of convex-hull non-negative matrix factorization (CH-NMF) which was recently proposed as a large scale variant of convex non-negative matrix factorization ...
Kristian Kersting, Mirwaes Wahabzada, Christian Th...
157
Voted
MIR
2006
ACM
157views Multimedia» more  MIR 2006»
15 years 7 months ago
Generating summaries and visualization for large collections of geo-referenced photographs
We describe a framework for automatically selecting a summary set of photos from a large collection of geo-referenced photographs. Such large collections are inherently difficult ...
Alexander Jaffe, Mor Naaman, Tamir Tassa, Marc Dav...
CACM
2008
65views more  CACM 2008»
15 years 14 days ago
Scene completion using millions of photographs
What can you do with a million images? In this paper we present a new image completion algorithm powered by a huge database of photographs gathered from the Web. The algorithm pat...
James Hays, Alexei A. Efros
SGP
2003
15 years 3 months ago
A geometric database for gene expression data
As the logical next step after sequencing the mouse genome, biologists have developed laboratory methods for rapidly determining where each of the 30K genes in the mouse genome is...
Joe D. Warren, Tao Ju, Gregor Eichele, Christina T...
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 2 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...