Combining multiple resolutions into hierarchical representations for kernel-based image classification [PDF]
, 2016 Geographic object-based image analysis (GEOBIA) framework has gained increasing interest recently. Following this popular paradigm, we propose a novel multiscale classification approach operating on a hierarchical image representation built from two ...
Chapel, Laetitia +3 more
core +3 more sources
Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
FEBS Letters, EarlyView.Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe +3 more
wiley +1 more source
Frequency-Domain Guided Image Classification With Large Model Assistance
IEEE AccessImage classification technology has made significant advancements, but methods tailored for specific image classification, such as sport image, remain inadequate. This is primarily constrained by two factors.
Xia Hua, Lei Han
doaj +1 more source
Retracted: Content-Based E-Commerce Image Classification Research
IEEE Access, 2020 The 21st century is the era of big data in the Internet. Online shopping has become a trend, and e-commerce has developed rapidly. With the exponential increase of the amount of commodity image data, the management of massive commodity image database ...
Xiaoli Zhang
doaj +1 more source
Time after time – circadian clocks through the lens of oscillator theory
FEBS Letters, EarlyView.Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo +2 more
wiley +1 more source
''Mental Images'' driven classification
ESANN 2024 proceesdingsCommon sense rules are a form of implicit knowledge acquired through experience and observation of the world around us, and used by both humans and machines to reason and to make decisions about the surrounding environment. Artificial Intelligence systems can extract these rules by mining data and apply them to many predictive tasks.
Gianluca Coda +3 more
openaire +1 more source
Classification of Large-Scale Fundus Image Data Sets: A Cloud-Computing Framework
, 2016 Large medical image data sets with high dimensionality require substantial amount of computation time for data creation and data processing. This paper presents a novel generalized method that finds optimal image-based feature sets that reduce ...
Roychowdhury, Sohini
core +1 more source
Multiple ETS family transcription factors bind mutant p53 via distinct interaction regions
FEBS Letters, EarlyView.Mutant p53 gain‐of‐function is thought to be mediated by interaction with other transcription factors. We identify multiple ETS transcription factors that can bind mutant p53 and found that this interaction can be promoted by a PXXPP motif. ETS proteins that strongly bound mutant p53 were upregulated in ovarian cancer compared to ETS proteins that ...
Stephanie A. Metcalf +6 more
wiley +1 more source
Sparse Representation and Collaborative Representation? Both Help Image Classification
IEEE Access, 2019 Image classification has attracted more and more attention. During the past decades, image classification has shown growing interest in representation-based classification methods, such as sparse representation-based classification and collaborative ...
Wen-Yang Xie +4 more
doaj +1 more source
Image Classification using Different Machine Learning Techniques [PDF]
, 2023 Simegnew Yihunie Alaba
openalex +1 more source