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DCOSS
2009
Springer
14 years 5 months ago
Fast Self-stabilization for Gradients
Abstract. Gradients are distributed distance estimates used as a building block in many sensor network applications. In large or long-lived deployments, it is important for the est...
Jacob Beal, Jonathan Bachrach, Daniel Vickery, Mar...
DATE
2007
IEEE
86views Hardware» more  DATE 2007»
14 years 5 months ago
Reduction of detected acceptable faults for yield improvement via error-tolerance
Error-tolerance is an innovative way to enhance the effective yield of IC products. Previously a test methodology based on error-rate estimation to support error-tolerance was pro...
Tong-Yu Hsieh, Kuen-Jong Lee, Melvin A. Breuer
ICDM
2006
IEEE
100views Data Mining» more  ICDM 2006»
14 years 5 months ago
Meta Clustering
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, ...
SAC
2006
ACM
14 years 4 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
ACSC
2003
IEEE
14 years 4 months ago
Context-Sensitive Mobile Database Summarisation
In mobile computing environments, as a result of the reduced capacity of local storage, it is commonly not feasible to replicate entire datasets on each mobile unit. In addition, ...
Darin Chan, John F. Roddick