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» Visualizing Incomplete and Partially Ranked Data
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CVPR
2012
IEEE
11 years 7 months ago
Fixed-rank representation for unsupervised visual learning
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
Risheng Liu, Zhouchen Lin, Fernando De la Torre, Z...
IJCV
2011
264views more  IJCV 2011»
13 years 7 days ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
PKDD
1999
Springer
106views Data Mining» more  PKDD 1999»
13 years 9 months ago
Heuristic Measures of Interestingness
When mining a large database, the number of patterns discovered can easily exceed the capabilities of a human user to identify interesting results. To address this problem, variou...
Robert J. Hilderman, Howard J. Hamilton
SFP
2004
13 years 6 months ago
A graphic functional-dataflow language
NiMo (Nets in Motion) is a visual environment aimed to support totally graphic programming in Data Flow style, with a strong functional inspiration. Solutions of growing complexit...
Silvia Clerici, Cristina Zoltan
BMCBI
2010
153views more  BMCBI 2010»
13 years 5 months ago
MimoSA: a system for minimotif annotation
Background: Minimotifs are short peptide sequences within one protein, which are recognized by other proteins or molecules. While there are now several minimotif databases, they a...
Jay Vyas, Ronald J. Nowling, Thomas Meusburger, Da...