منابع مشابه
Learning Image Descriptors with the Boosting-Trick
In this paper we apply boosting to learn complex non-linear local visual feature representations, drawing inspiration from its successful application to visual object detection. The main goal of local feature descriptors is to distinctively represent a salient image region while remaining invariant to viewpoint and illumination changes. This representation can be improved using machine learning...
متن کاملImage Sequence Super-resolution based on Learning using Feature Descriptors
There is currently a growing demand for high-resolution images and videos in several domains of knowledge, such as surveillance, remote sensing, medicine, industrial automation, microscopy, among others. High resolution images provide details that are important to tasks of analysis and visualization of data present in the images. However, due to the cost of high precision sensors and the limita...
متن کاملEfficient Active Learning with Boosting
This paper presents an active learning strategy for boosting. In this strategy, we construct a novel objective function to unify semi-supervised learning and active learning boosting. Minimization of this objective is achieved through alternating optimization with respect to the classifier ensemble and the queried data set iteratively. Previous semi-supervised learning or active learning method...
متن کاملLearning Image Descriptors for Matching Based on Haar Features
This paper presents a new and fast binary descriptor for image matching learned from Haar features. The training uses AdaBoost; the weak learner is built on response function for Haar features, instead of histogram-type features. The weak classifier is selected from a large weak feature pool. The selected features have different feature type, scale and position within the patch, having correspo...
متن کاملCommerce Image Retrieval with Combination of Descriptors
It is a critical problem to find the commerce quickly and accuracy. Information from different sources can improve the retrieval performance. In this paper, we proposed a combination algorithm of color descriptor, LBP texture descriptor and HOG shape descriptor for commerce image retrieval. The commerce image retrieval experiments on commerce image dataset PI 100 indicate the combination can bo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2015
ISSN: 0162-8828,2160-9292
DOI: 10.1109/tpami.2014.2343961