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Face Recognition: From Traditional to Deep Learning Methods
[article]
2018
arXiv
pre-print
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In this paper we provide a comprehensive and up-to-date literature review of popular face recognition methods including both traditional (geometry-based, holistic, feature-based and hybrid methods) and ...
Traditional methods based on hand-crafted features and traditional machine learning techniques have recently been superseded by deep neural networks trained with very large datasets. ...
All these hybrid methods were shown to provide better accuracy than using Gabor wavelet features alone. LBP descriptors have been a key component in many hybrid methods. ...
arXiv:1811.00116v1
fatcat:o2u5bpfumvbxffjqtnx432gpau
Survey on Seizure Reports from Clandestine Labs
2016
International Journal of Science and Research (IJSR)
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This paper focus on extraction the information and then review the visualization tasks related to the information gathered and then investigate topic modeling approaches. ...
Event Visualization Task
Spatiotemporal Event extraction It is to identify or extracting based on the specific task, place, relationships or entities. ...
The first layer is based on Google"s Keyhole Markup Language (KML) and a filebased application programmer interface (API), second layer is based on a PHP interface to a MySQL database implementing the ...
doi:10.21275/v5i1.nov152762
fatcat:75zmqmd2jzchpilynld6itvj7a
Temporal reasoning over clinical text: the state of the art
2013
JAMIA Journal of the American Medical Informatics Association
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Finally, we present some perspectives on future research directions that emerged during the recent community-wide challenge on text-based temporal reasoning in the clinical domain. ...
Scope We review the major applications of text-based temporal reasoning, describe the challenges for software systems handling temporal information in clinical text, and give an overview of the state of ...
Finally, it creates a visualization of the clinical timeline using the SIMILE tool (http://www. simile-widgets.org/timeline/). ...
doi:10.1136/amiajnl-2013-001760
pmid:23676245
pmcid:PMC3756277
fatcat:e4ehiljfcfekhlklclj2lbiebe
Unsuspected implications arising from assumptions in simulations: insights from recasting a forest growth model in system dynamics
2014
Forest Ecosystems
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Visual modelling environments based on system dynamics may help to make critical assumptions more evident by offering an accessible visual overview and empowering a focus on representational rather than ...
This capacity is illustrated using a cohort-based forest growth model developed for mixed species forest. ...
Others have shared insights gained from converting a simulator from one computer language to another (e.g., Cumming and Burton, 1993) , or to a hybrid implementation combining both code-based and iconbased ...
doi:10.1186/2197-5620-1-7
fatcat:dvpwdqa4ifhnjlspulj5uwpmcy
Face recognition with learning-based descriptor
2010
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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The resulting face representation, learning-based (LE) descriptor, is compact, highly discriminative, and easy-to-extract. ...
Firstly, our approach encodes the micro-structures of the face by a new learning-based encoding method. ...
Learning-based descriptor extraction In this section, we describe the critical steps in the learning-based (LE) descriptor extraction. ...
doi:10.1109/cvpr.2010.5539992
dblp:conf/cvpr/CaoYTS10
fatcat:wp5qzveg2ze7dp5be6xdptupiu
Integrating Symbol-Oriented and Sub-Symbolic Reasoning Methods into Hybrid Systems
[chapter]
2002
From Synapses to Rules
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Many of these methods are based on neural network techniques, which typically represent and process knowledge at a level below symbols; this is often referred to as sub-symbolic representation. ...
This contribution discusses approaches to integrate symbol-oriented reasoning methods with sub-symbolic ones into hybrid systems. ...
Systems based on a transformational approach can usually be developed quickly, assuming that the source and target representations are already used in a component of the system. ...
doi:10.1007/978-1-4615-0705-5_14
fatcat:yivvfaup5zbdpcrau5uxenfoo4
Local Gradient Order Pattern for Face Representation and Recognition
2014
2014 22nd International Conference on Pattern Recognition
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After pattern encoding, a 2-D histogram is consequently adopted to calculate the occurrence frequency of different patterns and multi-scale histogram features are extracted to represent the face image. ...
In this paper, we propose a novel face descriptor, namely local gradient order pattern (LGOP), taking into account the ordinal relationship of gradient responses in local region to obtain robust face representation ...
In [10] , a number of attribute and simile classifiers are constructed to realize a semantic face representation. ...
doi:10.1109/icpr.2014.75
dblp:conf/icpr/LeiYL14
fatcat:llrr3ygqtbejhpytw5vbyt2eya
Multimodal Multi-image Fake News Detection
2020
2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA)
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On the contrary, our system uses a more sophisticated representation that is based on Bidirectional Encoder Representations from Transformers (BERT) [7] . ...
They explored three different ways to extract the emotions, two of them were lexicon-based and one was based on a neural network. In their study, Giachanou et al. ...
doi:10.1109/dsaa49011.2020.00091
dblp:conf/dsaa/GiachanouZR20
fatcat:lgp5o6odcjc2vn5ovnc5z2v6tm
A Corpus-based Investigation of Conceptual and Pictorial Metaphor of Depression in MD and BPD Patients' Discourse
2019
Occasional Papers in the Development of English Education
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This paper examines the representation of major depression (MD) and bipolar disorder (BPD) from a cognitive linguistic perspective. ...
The interpretation of this hybrid
depends on understanding one of the two parts in terms of the
other. An example is COMPUTER COMPONENTS ARE NOTES
IN A MUSICAL COMPOSITION.
2. ...
Charteris-Black (2012) carries out a gender-based dichotomy of metaphors of depression, where depression is mostly seen as a container, in contrast to 'self' seen as a container. ...
doi:10.21608/opde.2019.133246
fatcat:h5rjenywpjfgzkkfy7fs5fjkrm
Describable Visual Attributes for Face Verification and Image Search
2011
IEEE Transactions on Pattern Analysis and Machine Intelligence
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The advantages of an attribute-based representation for vision tasks are manifold: they can be composed to create descriptions at various levels of specificity; they are generalizable, as they can be learned ...
Face Verification Early work in appearance-based face verification [26] , [51] looked at the L 2 distance between pairs of images in a lower dimensional subspace obtained using Principal Components ...
Face verification performance on LFW of our attribute classifiers, simile classifiers, and a hybrid of the two are shown in solid red, blue, and green, respectively. ...
doi:10.1109/tpami.2011.48
pmid:21383395
fatcat:jyolirk3dbgc7dfsp7grf6kqq4
A Novel Approach to Face Verification Based on Second-Order Face-Pair Representation
2018
Complexity
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Second, a flexible binary classification model, which differs from the conventionally used metric learning, is constructed based on the new face-pair representation. ...
In this paper, we present a second-order face representation method for face pair and a unified face verification framework, in which the feature extractors and the subsequent binary classification model ...
The representation not only is able to describe the dissimilarities between face pairs, but also naturally implies a simile classifier [24] . ...
doi:10.1155/2018/2861695
fatcat:qhc6dgjufjbvpl7hs2iq2ambva
Large-Scale Social Multimedia Analysis
[chapter]
2019
Big Data Analytics for Large-Scale Multimedia Search
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features extracted by a model-centric approach. ...
The representation ability is the ability of a CNN to learn/capture representations from training data assuming the optimum could be found. ...
CNNs are composed of two major components: feature extraction and classification. ...
doi:10.1002/9781119376996.ch6
fatcat:dw4rzuqeanbvxmaabtsgrid2ty
PANDA: Pose Aligned Networks for Deep Attribute Modeling
2014
2014 IEEE Conference on Computer Vision and Pattern Recognition
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We propose a new method which combines part-based models and deep learning by training pose-normalized CNNs. ...
Part-based models, such as poselets [4] and DPM [12] have been shown to perform well for this problem but they are limited by shallow low-level features. ...
We extracted the patches associated with each of the 8 parts in each of the 6 mixture components for a total of 48 parts (only 8 of which are active at a time). ...
doi:10.1109/cvpr.2014.212
dblp:conf/cvpr/ZhangPRDB14
fatcat:pbqpvtjh4bdkfe5l6ccgffxuye
PANDA: Pose Aligned Networks for Deep Attribute Modeling
[article]
2014
arXiv
pre-print
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2013 pre-print arXiv:1311.5591v1 fatcat:pkdmaieuwngadaj2atiqa5epem
We propose a new method which combines part-based models and deep learning by training pose-normalized CNNs. ...
Part-based models, such as poselets and DPM have been shown to perform well for this problem but they are limited by shallow low-level features. ...
We combine a part-based representation with convolutional nets in order to obtain the benefit of both approaches. ...
arXiv:1311.5591v2
fatcat:xcqwdxva55b4bmk535kxuzhnyi
Face verification using sparse representations
2012
2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
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We propose a face verification framework using sparse representations that integrates two ways of employing sparsity. ...
Given an image pair (A,B) and a dictionary D, for image A(B), we generate two sparse codes, one by using the original dictionary and the other by adding B(A) into D as an augmented dictionary. ...
Method Accuracy LDML, funneled [6] 0.7927±0.0060 POEM [22] 0.7542 ±0.0071 Hybrid [19] 0.8398±0.0035 Combined b/g samples based [25] 0.8683±0.0034 *Attribute and Simile classifiers [10] 0.8529 ...
doi:10.1109/cvprw.2012.6239213
dblp:conf/cvpr/GuoWCD12
fatcat:ppmqhuizjzcpjff7pi2gkkfata
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