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Handcrafted vs. non-handcrafted features for computer vision classification
This work presents a generic computer vision system designed for exploiting trained deep
Convolutional Neural Networks (CNN) as a generic feature extractor and mixing these …
Convolutional Neural Networks (CNN) as a generic feature extractor and mixing these …
Hierarchical gaussian descriptor for person re-identification
Describing the color and textural information of a person image is one of the most crucial
aspects of person re-identification. In this paper, we present a novel descriptor based on a …
aspects of person re-identification. In this paper, we present a novel descriptor based on a …
A survey on the internet of things security
K Zhao, L Ge - 2013 Ninth international conference on …, 2013 - ieeexplore.ieee.org
The security issues of the Internet of Things (IoT) are directly related to the wide application
of its system. Beginning with introducing the architecture and features of IoT security, this …
of its system. Beginning with introducing the architecture and features of IoT security, this …
Combining visual and acoustic features for audio classification tasks
In this paper a novel and effective approach for automated audio classification is presented
that is based on the fusion of different sets of features, both visual and acoustic. A number of …
that is based on the fusion of different sets of features, both visual and acoustic. A number of …
Steel surface defect recognition using classifier combination
The quality control of steel products' surface is of utmost importance, where several
inspection techniques and technologies have been proposed over the last few years …
inspection techniques and technologies have been proposed over the last few years …
[HTML][HTML] Deep learning and handcrafted features for virus image classification
In this work, we present an ensemble of descriptors for the classification of virus images
acquired using transmission electron microscopy. We trained multiple support vector …
acquired using transmission electron microscopy. We trained multiple support vector …
Neonatal pain detection in videos using the iCOPEvid dataset and an ensemble of descriptors extracted from Gaussian of Local Descriptors
Diagnosing pain in neonates is difficult but critical. Although approximately thirty manual
pain instruments have been developed for neonatal pain diagnosis, most are complex …
pain instruments have been developed for neonatal pain diagnosis, most are complex …
Animal sound classification using dissimilarity spaces
The classifier system proposed in this work combines the dissimilarity spaces produced by a
set of Siamese neural networks (SNNs) designed using four different backbones with …
set of Siamese neural networks (SNNs) designed using four different backbones with …
Ensemble of deep learning, visual and acoustic features for music genre classification
In this work, we present an ensemble for automated music genre classification that fuses
acoustic and visual (both handcrafted and nonhandcrafted) features extracted from audio …
acoustic and visual (both handcrafted and nonhandcrafted) features extracted from audio …
Kernelized covariance for action recognition
In this paper we aim at increasing the descriptive power of the covariance matrix, limited in
capturing linear mutual dependencies between variables only. We present a rigorous and …
capturing linear mutual dependencies between variables only. We present a rigorous and …