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» Clustering the Feature Space
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EKNOW
2009
15 years 5 months ago
Visual Middle-Out Modeling of Problem Spaces
Modeling is a complex and central activity in many domains. Domain experts and designers usually work by drawing and create models from the middle-out; however, visual and middle-...
Andrea Valente
DASIP
2010
15 years 2 months ago
High level design space exploration of RVC codec specifications for multi-core heterogeneous platforms
Nowadays, the design flow of complex signal processing embedded systems starts with a specification of the application by means of a large and sequential program (usually in C/C++...
Christophe Lucarz, Ghislain Roquier, Marco Mattave...
ECCV
2002
Springer
16 years 9 months ago
On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes
This paper presents a geometric approach to recognizing smooth objects from their outlines. We define a signature function that associates feature vectors with objects and baseline...
Svetlana Lazebnik, Amit Sethi, Cordelia Schmid, Da...
ILP
2003
Springer
16 years 20 days ago
Disjunctive Learning with a Soft-Clustering Method
In the case of concept learning from positive and negative examples, it is rarely possible to find a unique discriminating conjunctive rule; in most cases, a disjunctive descripti...
Guillaume Cleuziou, Lionel Martin, Christel Vrain
223
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BMCBI
2008
102views more  BMCBI 2008»
15 years 7 months ago
Response projected clustering for direct association with physiological and clinical response data
Background: Microarray gene expression data are often analyzed together with corresponding physiological response and clinical metadata of biological subjects, e.g. patients'...
Sung-Gon Yi, Taesung Park, Jae K. Lee