(江苏大学汽车与交通工程学院, 江苏镇江212013) 摘要: 人工选取少量的车牌区域和非车牌区域,
采用积分图法快速提取Haar like 扩展特征, 构成初始训练样本. 使用AdaBoost …

Many active learning methods select informative and representative examples by employing
a parametric approach. However, there is very limited research pursuing a functional non …

While active learning (AL) has been recently applied to help the user explore a large
database to retrieve data instances of interest, existing methods often require a large …

When active learning (AL) is applied to help users develop a model on a large dataset
through interactively presenting data instances for labeling, existing AL techniques often …

A small amount of license plate areas and non-license plate areas were selected, and Haar-
like extended features were extracted by using the integration diagram method to obtain …

Cutting-plane methods are well-studied localization (and optimization) algorithms. We show
that they provide a natural framework to perform machine learning-and not just to solve …

Modern datacenters host a wide range of applications. Managing application performance is
critical for the overall cost efficiency of datacenter infrastructures. However, previous …

Cutting-plane methods are well-studied localization (and optimization) algorithms. We show
that they provide a natural framework to perform machinelearning---and not just to solve …

In a typical discriminative learning setting, a set of labeled training examples is given, and
the goal is to learn-a decision rule that accurately classifies (or labels) unseen test …