This paper proposes a license plate detection algorithm using both global statistical features and local Haar-like features. Classifiers using global statistical features are cons...
A low power passive equalizer using RL terminator is proposed and optimized in this work. The equalizer includes an inductor in series with the resistive terminator, which boosts ...
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofm...
Chroma-based audio features are a well-established tool for analyzing and comparing music data. By identifying spectral components that differ by a musical octave, chroma features...
Bagging is an ensemble method that uses random resampling of a dataset to construct models. In classification scenarios, the random resampling procedure in bagging induces some c...