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A two stages car detection method using deformable part models with composite feature sets (DPM/CF) is proposed to recognize cars of various types and from multiple viewing angles. In the first stage, a HOG template is matched to detect the bounding box of the entire car of a certain type and viewed from a certain angle (called a t/a pair), which yields a region of interest (ROI). In the second stage,...
System evaluations are always able to use to guide improving of information systems and managers' decision-making in implementing, monitoring the effectiveness of software. However the evaluation happens to change as end users' usage. And then for capturing whether the changes exist and how to change in the operation of the system to maintain the software Sustainability, this paper used PLS (Partial...
Utterance verification provides the speech recognition system a user-friendly interaction. However, small-vocabulary system using DTW algorithm cannot afford HMM based utterance verification. So, to equip the DTW based recognizer with effective utterance verification becomes an essential problem in a low computational application. We proposed a new utterance verification method, combining both statistic...
A new method, called OSR-BP neural network, for long-term runoff prediction is put forward in this thesis. In order to eliminate input multi-collinearity and phenomenon of overfitting of the neural network, optimal subset regression (OSR) and BackPropagation(BP) neural network is coupled to an integrated, meanwhile, the training and testing error is comprehensively considered to determine the best...
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