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» Simbed: Similarity-Based Embedding
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ICANN
2009
Springer
13 years 11 months ago
Simbed: Similarity-Based Embedding
Simbed, standing for similarity-based embedding, is a new method of embedding high-dimensional data. It relies on the preservation of pairwise similarities rather than distances. I...
John Aldo Lee, Michel Verleysen
CASES
2001
ACM
13 years 9 months ago
The performance and energy consumption of three embedded real-time operating systems
This paper presents the modeling of embedded systems with SimBed, an execution-driven simulation testbed that measures the execution behavior and power consumption of embedded app...
Kathleen Baynes, Chris Collins, Eric Fiterman, Bri...
CVPR
2006
IEEE
13 years 11 months ago
Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion
The performance of many computer vision and machine learning algorithms critically depends on the quality of the similarity measure defined over the feature space. Previous works...
Xiaoyang Tan, Songcan Chen, Jun Li, Zhi-Hua Zhou
IAT
2007
IEEE
13 years 5 months ago
Similarity-Based Fuzzy Clustering for User Profiling
User profiling is a fundamental task in Web personalization. Fuzzy clustering is a valid approach to derive user profiles by capturing similar user interests from web usage data a...
Giovanna Castellano, Anna Maria Fanelli, Corrado M...
ICPR
2010
IEEE
13 years 3 months ago
Rectifying Non-Euclidean Similarity Data Using Ricci Flow Embedding
Similarity based pattern recognition is concerned with the analysis of patterns that are specified in terms of object dissimilarity or proximity rather than ordinal values. For man...
Weiping Xu, Edwin R. Hancock, Richard C. Wilson