A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
Multi-observation face recognition in videos based on label propagation
2015
2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Preserved Fulltext
Recently, several approaches for graph-based label propagation were proposed. ...
In this paper, we propose a novel approach for efficient and adaptive graph construction, based on a two-phase scheme: (i) the first phase is used to adaptively find the neighbors of a sample and also ...
The proposed approach have been used to perform label propagation for multi-observation based face recognition. ...
doi:10.1109/cvprw.2015.7301349
dblp:conf/cvpr/RaducanuBD15
fatcat:rvhgzxv2brgmfpcxzym5eyzplu
A Face Recognition Signature Combining Patch-based Features with Soft Facial Attributes
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This paper focuses on improving face recognition performance with a new signature combining implicit facial features with explicit soft facial attributes. ...
In this matcher, the matching scores computed from patch-based features and the facial attributes are combined to obtain a final matching score. ...
Acknowledgements This material is based upon work supported by the U.S. Department of Homeland Security under Grant Award Number 2015-ST-061-BSH001. ...
arXiv:1803.09359v1
fatcat:2dhbayau4zdy7hybatc4z7fhim
A Hierarchical Matcher using Local Classifier Chains
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
During matching, each sample travels through one global network and a chain of local networks to obtain its final matching to avoid error propagation. ...
The local networks are built based on label pairs created by a similarity matrix and confusion matrix. ...
Acknowledgements This material is based upon work supported by the U.S. Department of Homeland Security under Grant Award Number 2015-ST-061-BSH001. ...
arXiv:1805.02339v1
fatcat:7wheg6uunjhihev6aoc7z4pwha
Doing the Best We Can With What We Have: Multi-Label Balancing With Selective Learning for Attribute Prediction
2018
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Attributes are human describable features, which have been used successfully for face, object, and activity recognition. ...
Facial attributes are intuitive descriptions of faces and have proven to be very useful in face recognition and verification. ...
Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon. ...
doi:10.1609/aaai.v32i1.12313
fatcat:jq3ehcfjnvechktvsey3rrigmu
Phantom faces for face analysis
1997
Pattern Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2004; you can also visit the original URL.
The file type is application/pdf.
The system presented is part of a general object recognition system. Images of faces are represented as graphs, labeled with topographical information and local features. ...
New graphs of faces are generated by an elastic graph matching procedure comparing the new face with a composition of stored graphs: the face bunch graph. ...
Acknowledgements Many thanks go to C. von der Malsburg for his support and helpful comments. ...
doi:10.1016/s0031-3203(96)00132-x
fatcat:ia5k2q6c4jgpxfv26pghpue2u4
Neural Networks for Iris Recognition: Comparisons between LVQ and Cascade Forward Back Propagation Neural network Models, Architectures and Algorithm
2013
IOSR Journal of Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Comparison results showed that linear vector quantization (LVQ) was the best training algorithm for the iris recognition system. ...
In this paper, it includes the preprocessing system, segmentation, feature extraction and recognition. an iris recognition system was suggested based on two Artificial Neural Network (ANN) models separately ...
Both neural network based approach is found to be a promising for iris recognition but LVQ neural network approach is less time consuming. ...
doi:10.9790/3021-03150710
fatcat:2odsmzqlsrdcvhpdirzdvqpbla
Biometric technology
2017
International Journal of Current Advanced Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Poonam Sharma, for her guidance throughout the project. It is worth mentioning few ideas during project phase have been presented on a mutual team work. I would want to extend my appreciation to my ...
Zebra/TigerStripes Identification based on binarization and the concept of error propagation is applied to track nonlinear deformation adaptively. tiae based skin markings. is Acanthurusdussumieri show ...
On the other hand, local feature based algorithm may provide good results. ...
doi:10.24327/ijcar.2017.3921.0397
fatcat:m67gtq4fyfhozjykqtjflneoay
Label propagation based on local information with adaptive determination of number and degree of neighbor׳s similarity
2015
Neurocomputing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In this paper we examine the effectiveness of using local information in form of label propagation algorithm and present three new label propagation modifications. ...
Locality-constrained Linear Coding (LLC) addresses these problems and regards the local information in the coding process. ...
Related label propagation algorithms Among graph based semi-supervised learning algorithms are label propagation methods, which directly propagate labels of the training samples to the test samples. ...
doi:10.1016/j.neucom.2014.11.053
fatcat:nbmxp467pvdmhj6i67h72eyjqi
Phantom faces for face analysis
[chapter]
1997
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2004; you can also visit the original URL.
The file type is application/pdf.
The system presented is part of a general object recognition system. Images of faces are represented as graphs, labeled with topographical information and local features. ...
New graphs of faces are generated by an elastic graph matching procedure comparing the new face with a composition of stored graphs: the face bunch graph. ...
Acknowledgements Many thanks go to C. von der Malsburg for his support and helpful comments. ...
doi:10.1007/3-540-63460-6_153
fatcat:nb6j3pqnzzdbnlvkk6lpgh24ja
Cost-alleviative Learning for Deep Convolutional Neural Network-based Facial Part Labeling
2015
IPSJ Transactions on Computer Vision and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Facial part labeling which is parsing semantic components enables high-level facial image analysis, and contributes greatly to face recognition, expression recognition, animation, and synthesis. ...
The weighted cost function enables the training coefficient for each class to be adjusted. ...
The cost function is weighted based on the prior probability of each class. These cost weights make it possible to alleviate the propagation of error. ...
doi:10.2197/ipsjtcva.7.99
fatcat:owjoufencjhn7mjftmema6arzu
Label propagation approach for predicting missing biographic labels in face-based biometric records
2018
IET Biometrics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In particular, we use a label propagation scheme to deduce missing values for both binary-valued biographic attributes (e.g., gender) as well as multi-valued biographic attributes (e.g., age group). ...
Experimental results using face-based biometric records consisting of name, age, gender and ethnicity convey the pros and cons of the proposed method. ...
Age group prediction via label propagation had good prediction accuracy for the ≤ 29 and ≥ 45 cohorts, but much lower performance for the 30 − 44 cohort (for all label propagation weight schemes). ...
doi:10.1049/iet-bmt.2017.0117
fatcat:ys4d4j7omrclhfnh76gnksrqfi
Fully Associative Patch-based 1-to-N Matcher for Face Recognition
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This paper focuses on improving face recognition performance by a patch-based 1-to-N signature matcher that learns correlations between different facial patches. ...
First, based on the signature, the local matching identity and the corresponding matching score of each patch are computed. ...
Acknowledgements This material is based upon work supported by the U.S. Department of Homeland Security under Grant Award Number 2015-ST-061-BSH001. ...
arXiv:1805.06306v1
fatcat:uzq3obr72zbihdanio5csm2534
A Review Paper on Biometrics: Fingerprint and Speech Recognition
2015
International Journal of Engineering Research and
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
With the advancement of automated system the complexity for integration & recognition problem is growing day by day. ...
This paper contain survey of papers which present a range of approach for the recognition of speech and fingerprint. ...
RELATED WORK Qijun Zhao et al [12] proposed a method for fingerprint recognition based on adaptive pore model for fingerprint pore exclusion. ...
doi:10.17577/ijertv4is041457
fatcat:6jpial4pqbd3ji2guqxkfvtmbe
Webly Supervised Fine-Grained Image Recognition with Graph Representation and Metric Learning
2022
Electronics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Finally, a graph matching module is further employed to explore the holistic–local information interaction through intra-graph node information propagation as well as to evaluate the similarity score between ...
for web fine-grained images and to handle noisy labels simultaneously, thus effectively using webly supervised data for training. ...
features likes face and eyes and combine them with global features for breed classification of dogs [3] . ...
doi:10.3390/electronics11244127
fatcat:de536dukjba3lgljvxdot43tcq
Author Index
2010
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
2D and 3D Palmprint Matching with Alignment Refinement
Li, Weixin
Anomaly Detection in Crowded Scenes
Li, Xiong
Bimodal Gender Recognition from Face and Fingerprint
Li, Xueqing
Warp Propagation ...
Parts by their Context Ulrich, Markus Model Globally, Match Locally: Efficient and Robust 3D Object Recognition Ulusoy, Ali Osman Workshop: Robust One-Shot 3D Scanning Using Loopy Belief Propagation Urschler ...
doi:10.1109/cvpr.2010.5539913
fatcat:y6m5knstrzfyfin6jzusc42p54
« Previous
Showing results 1 — 15 out of 26,447 results