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Face Recognition: From Traditional to Deep Learning Methods [article]

Daniel Sáez Trigueros, Li Meng, Margaret Hartnett
2018 arXiv   pre-print
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  Traditional methods based on hand-crafted features and traditional machine learning techniques have recently been superseded by deep neural networks trained with very large datasets.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)  
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

Weiyi Sun, Anna Rumshisky, Ozlem Uzuner
2013 JAMIA Journal of the American Medical Informatics Association  
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.  ... 
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

Jerome K Vanclay
2014 Forest Ecosystems  
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

Zhimin Cao, Qi Yin, Xiaoou Tang, Jian Sun
2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
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]

Franz J. Kurfess
2002 From Synapses to Rules  
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

Zhen Lei, Dong Yi, Stan Z. Li
2014 2014 22nd International Conference on Pattern Recognition  
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

Anastasia Giachanou, Guobiao Zhang, Paolo Rosso
2020 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA)  
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  
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

N. Kumar, A. Berg, P. N. Belhumeur, S. Nayar
2011 IEEE Transactions on Pattern Analysis and Machine Intelligence  
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

Qiang Hua, Chunru Dong, Feng Zhang
2018 Complexity  
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]

Benjamin Bischke, Damian Borth, Andreas Dengel
2019 Big Data Analytics for Large-Scale Multimedia Search  
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

Ning Zhang, Manohar Paluri, Marc'Aurelio Ranzato, Trevor Darrell, Lubomir Bourdev
2014 2014 IEEE Conference on Computer Vision and Pattern Recognition  
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]

Ning Zhang, Manohar Paluri, Marc'Aurelio Ranzato, Trevor Darrell, Lubomir Bourdev
2014 arXiv   pre-print
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

Huimin Guo, Ruiping Wang, Jonghyun Choi, Larry S. Davis
2012 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops  
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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