Facial age classification is an approach to classify face images into one of several
predefined age groups. One of the difficulties in applying learning techniques to the age …

Text classification approaches are used extensively to solve real-world challenges. The
success or failure of text classification systems hangs on the datasets used to train them …

In this paper, we propose a vehicle detection method based on AdaBoost. We focus on the
detection of front-view car and bus with occlusions on highway. Samples with different …

In this paper, a novel batch-mode active learning method based on the nearest average-
class distance (ALNACD) is proposed to solve multi-class problems with Linear Discriminate …

In this work we present a novel approach which combines semantic information with low
level features extracted from a complex video scene. The proposed method for video scene …

This thesis aims at developing learning systems for automated detection of objects from
aerial images. The problem is challenging not only because of the intricacy of complex …

Providing training data for facial age estimation is very expensive in terms of age progress,
privacy, human time and effort. In this paper, we present a novel active learning approach …

One of the major research topics in computer vision is automatic video scene understanding
where the ultimate goal is to build artificial intelligence systems comparable with humans in …

Аннотация В работе описан алгоритм активного обучения классификатора Виола–
Джонса, предназначенного для поиска объектов на изображениях. Для выбора …