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Pattern Analysis and Applications

Ausgabe 1/2021

Inhalt (26 Artikel)

Theoretical advances

Deep kernel learning in extreme learning machines

A. L. Afzal, Nikhitha K. Nair, S. Asharaf

Correction

Correction to: Deep kernel learning in extreme learning machines

A. L. Afzal, Nikhitha K. Nair, S. Asharaf

Theoretical advances

Substep active deep learning framework for image classification

Guoqiang Li, Ning Gong

Theoretical advances

Effectiveness of symmetric rejection for a secure and user convenient multistage biometric system

Md S. Hossain, Kiran S. Balagani, Vir V. Phoha

Theoretical advances

Ternary tree-based structural twin support tensor machine for clustering

Reshma Rastogi, Sweta Sharma

Theoretical advances

Nonparametric “anti-Bayesian” quantile-based pattern classification

Fatemeh Mahmoudi, Mostafa Razmkhah, B. John Oommen

Open Access Theoretical advances

Gestalt descriptions for deep image understanding

Markus Hörhan, Horst Eidenberger

Theoretical advances

Eccentricity based kinship verification from facial images in the wild

Aarti Goyal, Toshanlal Meenpal

Theoretical Advances

AFDL: a new adaptive fuzzy dictionary learning for medical image classification

Majid Ghasemi, Manoochehr Kelarestaghi, Farshad Eshghi, Arash Sharifi

Theoretical Advances

Deep learning-based data augmentation method and signature verification system for offline handwritten signature

Muhammed Mutlu Yapıcı, Adem Tekerek, Nurettin Topaloğlu

Theoretical Advances

Seismicity analysis using space-time density peak clustering method

Rahul Kumar Vijay, Satyasai Jagannath Nanda

Theoretical Advances

An efficient generic approach for automatic taxonomy generation using HMMs

Sylvain Iloga, Olivier Romain, Maurice Tchuenté

Short paper

Component-based face recognition using statistical pattern matching analysis

Sushil Kumar Paul, Saida Bouakaz, Chowdhury Mofizur Rahman, Mohammad Shorif Uddin

Industrial and commercial application

Simultaneous identification of points and circles: structure from motion system in industry scenes

Tao Ni, Yukun Shi, Anyu Sun, Bingfeng Ju

Open Access Industrial and commercial application

Deep learning-based effective fine-grained weather forecasting model

Pradeep Hewage, Marcello Trovati, Ella Pereira, Ardhendu Behera

Industrial and commercial application

An efficient global representation constrained by Angular Triplet loss for vehicle re-identification

Jianyang Gu, Wei Jiang, Hao Luo, Hongyan Yu

Industrial and commercial application

Spatio-temporal adversarial learning for detecting unseen falls

Shehroz S. Khan, Jacob Nogas, Alex Mihailidis

Industrial and Commercial Application

Wavelet domain majority coupled binary pattern: a new descriptor for texture classification

S. Nithya, S. Ramakrishnan

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