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SAC
2006
ACM
15 years 8 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
98
Voted
DGO
2008
126views Education» more  DGO 2008»
15 years 3 months ago
Active learning for e-rulemaking: public comment categorization
We address the e-rulemaking problem of reducing the manual labor required to analyze public comment sets. In current and previous work, for example, text categorization techniques...
Stephen Purpura, Claire Cardie, Jesse Simons
CORR
2010
Springer
112views Education» more  CORR 2010»
15 years 2 months ago
Colour Guided Colour Image Steganography
Information security has become a cause of concern because of the electronic eavesdropping. Capacity, robustness and invisibility are important parameters in information hiding and...
R. Amirtharajan, Sandeep Kumar Behera, Motamarri A...
112
Voted
CORR
2008
Springer
99views Education» more  CORR 2008»
15 years 1 months ago
An Energy-Based Comparison of Long-Hop and Short-Hop Routing in MIMO Networks
This paper considers the problem of selecting either routes that consist of long hops or routes that consist of short hops in a network of multiple-antenna nodes, where each trans...
Caleb K. Lo, Sriram Vishwanath, Robert W. Heath Jr...
117
Voted
CEC
2010
IEEE
15 years 1 months ago
Gaussian Adaptation as a unifying framework for continuous black-box optimization and adaptive Monte Carlo sampling
Abstract— We present a unifying framework for continuous optimization and sampling. This framework is based on Gaussian Adaptation (GaA), a search heuristic developed in the late...
Christian L. Müller, Ivo F. Sbalzarini