Results 281 to 290 of about 693,698 (310)

Combining Deep Feature and Handcrafted Features for Material Classification

2018 10th International Conference on Knowledge and Systems Engineering (KSE), 2018
Material classification is a challenging problem in robot and computer vision. The deep learning methods have achieved major success in object classification, but they do not conquer in material classification. One of the main reasons is different materials may yield very similar appearance. In this paper, we propose a new method combining deep feature
Truong Phuc Anh, Tien-Dung Mai
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Feature Extraction of ECG Signal by using Deep Feature

2019 7th International Symposium on Digital Forensics and Security (ISDFS), 2019
The analysis and classification of Electrocardiogram (ECG) signals have become very important tool to diagnose of heart disorders. Computer-aided techniques are generally used to classify biomedical application areas. In this paper, we aim to feature extraction and classification of ECG signals. Accordingly, an open access ECG database in Physionet was
Aykut Diker, Engin Avci
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Deep Graphical Feature Learning for the Feature Matching Problem

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019
The feature matching problem is a fundamental problem in various areas of computer vision including image registration, tracking and motion analysis. Rich local representation is a key part of efficient feature matching methods. However, when the local features are limited to the coordinate of key points, it becomes challenging to extract rich local ...
Zhen Zhang 0008, Wee Sun Lee
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Deep Feature Learning

2018
FL is a technique that models the behavior of data from a subset of attributes only. It also shows the correlation between detection performance and traffic model quality efficiently (Palmieri et al., Concurrency Comput Pract Exp 26(5):1113–1129, 2014). However, feature extraction and feature selection are different.
Kwangjo Kim, Muhamad Erza Aminanto, Harry Chandra Tanuwidjaja   +2 more
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Hedging Deep Features for Visual Tracking

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
Convolutional Neural Networks (CNNs) have been applied to visual tracking with demonstrated success in recent years. Most CNN-based trackers utilize hierarchical features extracted from a certain layer to represent the target. However, features from a certain layer are not always effective for distinguishing the target object from the backgrounds ...
Yuankai Qi, Shengping Zhang, Lei Qin, Qingming Huang, Hongxun Yao, Jongwoo Lim, Ming-Hsuan Yang 0001   +6 more
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Deep features for automatic spoofing detection

Speech Communication, 2016
Recently biometric authentication has made progress in areas, such as speaker verification. However, some evidence shows that the technology is susceptible to malicious spoofing attacks, and thus dedicated countermeasures are needed to detect a variety of specific attack types.
Yanmin Qian, Nanxin Chen, Kai Yu 0004
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Deep feature extraction in the DCT domain

2016 23rd International Conference on Pattern Recognition (ICPR), 2016
We explore the effectiveness of deep features extracted by Convolutional Neural Networks(CNNs) in the Discrete Cosine Transform(DCT) domain for various image classification tasks such as pedestrian and face detection, material identification and object recognition.
Arthita Ghosh, Rama Chellappa
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Deep Encoding Features for Instance Retrieval

2017
In this paper, we propose a novel approach for instance retrieval. Compared with traditional retrieval pipeline, we first locate several candidate regions of target object with a region proposal network (RPN), instead of exhausting sliding window method. The candidate regions are detected through the trained RPN.
Zhiming Ding, Zhengzhong Zhou, Liqing Zhang 0001   +2 more
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Deep survival forests with feature screening

Biomedical Signal Processing and Control, 2021
Xuewei Cheng, Sizheng Wang, Yi Zou, Badamasi Abba, Hong Wang 0009   +4 more
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Deep-seated features histogram: A novel image retrieval method

Pattern Recognition, 2021
Guang-Hai Liu
exaly