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» Unsupervised Feature Selection Using Feature Similarity
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CVPR
2004
IEEE
16 years 8 months ago
Super-Resolution through Neighbor Embedding
In this paper, we propose a novel method for solving single-image super-resolution problems. Given a low-resolution image as input, we recover its highresolution counterpart using...
Hong Chang, Dit-Yan Yeung, Yimin Xiong
COSIT
2011
Springer
269views GIS» more  COSIT 2011»
14 years 6 months ago
Analyzing the Spatial-Semantic Interaction of Points of Interest in Volunteered Geographic Information
With the increasing success and commercial integration of Volunteered Geographic Information (VGI), the focus shifts away from coverage to data quality and homogeneity. Within the ...
Christoph Mülligann, Krzysztof Janowicz, Mao ...
PLDI
2009
ACM
16 years 7 months ago
Chameleon: adaptive selection of collections
Languages such as Java and C#, as well as scripting languages like Python, and Ruby, make extensive use of Collection classes. A collection implementation represents a fixed choic...
Ohad Shacham, Martin T. Vechev, Eran Yahav
172
Voted
CORR
2008
Springer
102views Education» more  CORR 2008»
15 years 6 months ago
Spreadsheet modelling for solving combinatorial problems: The vendor selection problem
Spreadsheets have grown up and became very powerful and easy to use tools in applying analytical techniques for solving business problems. Operations managers, production managers...
Pandelis G. Ipsilandis
TSD
2007
Springer
16 years 28 days ago
On the Relative Hardness of Clustering Corpora
Abstract. Clustering is often considered the most important unsupervised learning problem and several clustering algorithms have been proposed over the years. Many of these algorit...
David Pinto, Paolo Rosso