From low-level geometric features to high-level semantics: An axiomatic fuzzy set clustering approach

QR Code

From low-level geometric features to high-level semantics: An axiomatic fuzzy set clustering approach

In this paper, we developed a new method to extract semantic facial descriptions by using an Axiomatic Fuzzy Set (AFS)-based clustering approach. Landmark-based geometry features are first used to represent facial components, and then we developed a new feature selection algorithm to select salient...

Full description

Bibliographic Details
Main Authors:	Li, Q., Ren, Y., Li, L., Liu, Wan-Quan
Format:	Journal Article
Published:	IOS PRESS 2016
Online Access:	http://hdl.handle.net/20.500.11937/41933

Similar Items

Semantic facial description via axiomatic Fuzzy Set based clustering
by: Li, Q., et al.
Published: (2016)

Eyebrow semantic description via clustering based on Axiomatic Fuzzy Set
by: Li, D., et al.
Published: (2018)

Semantic facial descriptor extraction via Axiomatic Fuzzy Set
by: Ren, Y., et al.
Published: (2015)

Multi-ethnic facial features extraction based on axiomatic fuzzy set theory
by: Li, Z., et al.
Published: (2017)

The framework of axiomatics fuzzy sets based fuzzy classifiers
by: Liu, X., et al.
Published: (2008)

Fuzzy based affinity learning for spectral clustering
by: Li, Q., et al.
Published: (2016)

A Bayesian level set method for geometric inverse problems
by: Iglesias, Marco, et al.
Published: (2016)

A novel level set approach for image segmentation with landmark constraints
by: Pan, H., et al.
Published: (2019)

Fuzzy semantic classifier for determining strength levels of customer product reviews
by: Nadali, Samaneh
Published: (2012)

Heart sounds clustering using a combination of temporal, spectral and geometric features
by: Safara, Fatemeh, et al.
Published: (2012)

Mutual Validation of GNSS Height Measurements and High-precision Geometric-astronomical Leveling
by: Hirt, Christian, et al.
Published: (2010)

Characterization of G -Semigroup by Intuitionistic N-Fuzzy Set (INFS) and its level set
by: Muhammad Akram, Muhammad Akram, et al.
Published: (2017)

Characterization of G -Semigroup by Intuitionistic N-Fuzzy Set (INFS) and its level set
by: Muhammad Akram, Muhammad Akram, et al.
Published: (2017)

Axiomatic: Constituting ‘transexuality’ and trans sexualities in medicine
by: Latham, Joe
Published: (2018)

Conceptual axiomatic design on ergonomic electric scooter
by: Ooi, Y.M
Published: (2010)

Use of multiple low level features to find interesting regions
by: Borck, M., et al.
Published: (2014)

Implementing low level features for human aggressive movement detection
by: Tan Zizi, Tuan Khalisah, et al.
Published: (2015)

Affinity learning via a diffusion process for subspace clustering
by: Li, Q., et al.
Published: (2018)

High level semantic concept retrieval using a hybrid similarity method
by: Kouchehbagh, Sara Memar, et al.
Published: (2012)

Quantification of perception clusters using R-fuzzy sets and grey analysis
by: Khuman, Arjab Singh, et al.
Published: (2016)

Retinal blood vessel segmentation by using matched filtering and fuzzy C-means clustering with integrated level set method for diabetic retinopathy assessment
by: Memari, Nogol, et al.
Published: (2019)

Kolmogorov Axiomatic theory of probability / Khoo Suan Heok.
by: Khoo, Suan Heok
Published: (1967)

Implicatures and explicatures in English and Spanish commercial messages: pragmatic level versus semantic level
by: Vivanco, Verónica
Published: (2006)

Text clustering for reducing semantic information in Malay semantic representation
by: Tuan Norhafizah Tuan Zakaria,, et al.
Published: (2020)

Development of ergonomic-axiomatic design parameters for virtual environment / Hartomo
by: Hartomo, -
Published: (2013)

Application of axiomatic design concepton improving ladder for pepper harvesting
by: Noraship, M.R
Published: (2008)

Application of axiomatic design to the toaster design - a case study
by: Nazril bin, Mohd Najib
Published: (2004)

Feature Selection Based on Semantics
by: Chua, Stephanie, et al.
Published: (2008)

CCTV Scene Perspective Distortion Estimation From Low-Level Motion Features
by: Arandjelovic, O., et al.
Published: (2016)

Image Segmentation with Depth Information via Simplified Variational Level Set Formulation
by: Tan, L., et al.
Published: (2017)

Knowledge-based semantic relatedness measure using semantic features
by: Ali Muttaleb, Hasan, et al.
Published: (2020)

Facial semantic descriptors based on information granules
by: Ren, Y., et al.
Published: (2019)

Visual maritime attention using multiple low-level features and Naive Bayes classification
by: Albrecht, Thomas, et al.
Published: (2011)

Decision-level and feature-level integration of remote sensing and geospatial big data for urban land use mapping
by: Yin, Jiadi, et al.
Published: (2021)

Semantic feature selection for spam filtering
by: Azlina, Narawi
Published: (2010)

Hierarchical Bayesian level set inversion
by: Dunlop, Matthew M., et al.
Published: (2016)

Methicillin-susceptible and -resistant Staphylococcus aureus with high-level antiseptic and low-level mupirocin resistance in Malaysia
by: Moghaddam, Hamed Ghasemzadeh, et al.
Published: (2014)

Semantic Metadata as Meaning Making: Examining #hashtags and Collection Level Metadata
by: White, Hollie, et al.
Published: (2019)

Ascertaining the semantic and linguistic level of perceived risk in e-business interactions
by: Hussain, Omar, et al.
Published: (2008)

A classification of semantic conflicts in heterogeneous Web services at message level
by: Al-Baltah, Ibrahim Ahmed, et al.
Published: (2016)

Cannot write session to /tmp/vufind_sessions/sess_ovl9tksrarusnm86u7qiljc530