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AONet: Attentional Occlusion-Aware Network for Occluded Person Re-identification
Occluded person Re-identification (Occluded ReID) aims to verify the identity of a pedestrian with occlusion across non-overlap** cameras. Previous...
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Adventures in data analysis: a systematic review of Deep Learning techniques for pattern recognition in cyber-physical-social systems
Machine Learning (ML) and Deep Learning (DL) have achieved high success in many textual, auditory, medical imaging, and visual recognition patterns....
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Local Co-location Pattern Mining Based on Regional Embedding
Local co-location pattern (LCP) presents the spatial correlation between various categories in local regions. Regional partitioning is a pivotal step...
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PAII: A Pose Alignment Network with Information Interaction for Person Re-identification
As an important part of intelligent surveillance systems, person re-identification (re-ID) has a wide range of application prospects in smart cities....
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Label Quality in AffectNet: Results of Crowd-Based Re-annotation
AffectNet is one of the most popular resources for facial expression recognition (FER) on relatively unconstrained in-the-wild images. Given that...
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Learn Robust Pedestrian Representation Within Minimal Modality Discrepancy for Visible-Infrared Person Re-Identification
Visible-infrared person re-identification has attracted extensive attention from the community due to its potential great application prospects in...
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Learning camera invariant deep features for semi-supervised person re-identification
In this paper, we focus on the semi-supervised person re-identification (re-ID) task, where the training data includes some labeled data and most...
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Window-Adjusted Common Spatial Pattern for Detecting Error-Related Potentials in P300 BCI
Under certain task conditions, error-related potential (ErrP) will be elicited, meaning that the subject is perceiving an error, responding to an...
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An Ensemble Machine Learning Method Highlights Possible Parkinson’s Disease Genes and Accessing Performance of Re-sampling Techniques
Identification of genes that lead other genes towards disease with neurological disorders like Parkinson's disease (PD) is an important factor in...
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On Low-Resolution Face Re-identification with High-Resolution-Map**
Low-resolution face re-identification refers to the problem of identifying if the same person’s face appears in two images: one image is low...
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Aspect-level sentiment classification with aspect-opinion sentence pattern connection graph convolutional networks
Attempting to identify and determine the sentiment polarity of one or more aspects (i.e., aspect words) in a sentence, Aspect-Level Sentiment...
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Euler common spatial pattern modulated with cross-frequency coupling
In the field of electroencephalogram (EEG)-based brain–computer interfaces (BCIs), the method of common spatial pattern (CSP) is formulated as a...
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A novel two-level embedding pattern for grayscale-invariant reversible data hiding
Although traditional reversible data hiding (RDH) methods work well at protecting the secret data and guaranteeing the high visual quality of the...
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Enabling Flexible Architectural Design Re-representations Using a Phenotype-Based Strategy
Architectural design is driven by qualitative variables like spatial aesthetics and geometry appreciation. At the early explorative stage, flexible...
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A feature extraction method for person re-identification based on a two-branch CNN
A two-branch convolutional neural network (CNN) architecture for feature extraction in person re-identification (re-ID) based on video surveillance...
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RePaLM: A Data-Driven AI Assistant for Making Stronger Pattern Choices
Security mechanisms based on patterns, such as Pattern Lock, are commonly used to prevent unauthorized access. They introduce several benefits, such...
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Pattern-based learning and control of nonlinear pure-feedback systems with prescribed performance
This article presents a novel pattern-based intelligent control scheme with prescribed performance (PP) for uncertain pure-feedback systems operating...
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Dense Re-Ranking with Weak Supervision for RDF Dataset Search
Dataset search aims to find datasets that are relevant to a keyword query. Existing dataset search engines rely on conventional sparse retrieval...
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Generating Process Anomalies with Markov Chains: A Pattern-Driven Approach
Generating anomalies for process executions helps to train anomaly detection methods and evaluate their performance. Anomalous behavior tends to be...
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Semantic Triple-Assisted Learning for Question Answering Passage Re-ranking
Passage re-ranking in question answering (QA) systems is a method to reorder a set of retrieved passages, related to a given question so that...