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MCS
2002
Springer
15 years 4 months ago
Boosting and Classification of Electronic Nose Data
Abstract. Boosting methods are known to improve generalization performances of learning algorithms reducing both bias and variance or enlarging the margin of the resulting multi-cl...
Francesco Masulli, Matteo Pardo, Giorgio Sbervegli...
NPL
1998
129views more  NPL 1998»
15 years 4 months ago
Extraction of Logical Rules from Neural Networks
A new architecture and method for feature selection and extraction of logical rules from neural networks trained with backpropagation algorithm is presented. The network consists ...
Wlodzislaw Duch, Rafal Adamczak, Krzysztof Grabcze...
PAMI
1998
76views more  PAMI 1998»
15 years 4 months ago
Segmenting Images Corrupted by Correlated Noise
—Image segmentation is fundamental to many image analysis problems. It aims to partition a digital image into a set of nonoverlapping homogeneous regions. The main contribution o...
Thomas C. M. Lee
TCAD
1998
83views more  TCAD 1998»
15 years 4 months ago
Telescopic units: a new paradigm for performance optimization of VLSI designs
—This paper introduces a novel optimization paradigm for increasing the throughput of digital systems. The basic idea consists of transforming fixed-latency units into variable-...
Luca Benini, Enrico Macii, Massimo Poncino, Giovan...
TCAD
1998
159views more  TCAD 1998»
15 years 4 months ago
Code density optimization for embedded DSP processors using data compression techniques
We address the problem of code size minimization in VLSI systems with embedded DSP processors. Reducing code size reduces the production cost of embedded systems. We use data comp...
Stan Y. Liao, Srinivas Devadas, Kurt Keutzer