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» On the limits of dictatorial classification
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FLAIRS
2007
13 years 10 months ago
Enhancing the Performance of Semi-Supervised Classification Algorithms with Bridging
Traditional supervised classification algorithms require a large number of labelled examples to perform accurately. Semi-supervised classification algorithms attempt to overcome t...
Jason Chan, Josiah Poon, Irena Koprinska
ICONIP
2010
13 years 5 months ago
Practical Surface EMG Pattern Classification by Using a Selective Desensitization Neural Network
Real-time pattern classification of electromyogram (EMG) signals is significant and useful for developing prosthetic limbs. However, the existing approaches are not practical enoug...
Hiroshi Kawata, Fumihide Tanaka, Atsuo Suemitsu, M...
EVOW
2008
Springer
13 years 9 months ago
Evolving an Automatic Defect Classification Tool
Automatic Defect Classification (ADC) is a well-developed technology for inspection and measurement of defects on patterned wafers in the semiconductors industry. The poor training...
Assaf Glazer, Moshe Sipper
SIGIR
2008
ACM
13 years 7 months ago
Personal vs non-personal blogs: initial classification experiments
We address the task of separating personal from non-personal blogs, and report on a set of baseline experiments where we compare the performance on a small set of features across ...
Erik Elgersma, Maarten de Rijke
ICIP
2009
IEEE
14 years 8 months ago
Reconstructing Ft-ir Spectroscopic Imaging Data With A Sparse Prior
Fourier Transform Infrared (FT-IR) spectroscopic imaging is a potentially valuable tool for diagnosing breast and prostate cancer, but its clinical deployment is limited due to lo...