Results 71 to 80 of about 9,167 (192)
Semantic Object Parsing with Graph LSTM
, 2016 By taking the semantic object parsing task as an exemplar application scenario, we propose the Graph Long Short-Term Memory (Graph LSTM) network, which is the generalization of LSTM from sequential data or multi-dimensional data to general graph ...
A Graves +5 more
core +1 more source
Interpretable Machine Learning: A Comprehensive Review of Foundations, Methods, and the Path Forward
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.This systematic review of 352 studies establishes a comprehensive taxonomy for Interpretable Machine Learning, transitioning from foundational intrinsic models to advanced deep learning explanations. It reveals a critical paradigm shift toward “mechanistic interpretability” and actionable recourse, emphasizing that future AI systems must be rigorously ...
Shimon Fridkin, Michael Bendersky
wiley +1 more source
A Survey on Superpixel Segmentation as a Preprocessing Step in Hyperspectral Image Analysis
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Recent developments in hyperspectral sensors have made it possible to acquire hyperspectral images (HSI) with higher spectral and spatial resolution. Hence, it is now possible to extract detailed information about relatively smaller structures.
Subhashree Subudhi +3 more
doaj +1 more source
Image Forgery Localization Based on Multi-Scale Convolutional Neural Networks
, 2018 In this paper, we propose to utilize Convolutional Neural Networks (CNNs) and the segmentation-based multi-scale analysis to locate tampered areas in digital images.
Cao, Yun +3 more
core +1 more source
Journal of Geophysical Research: Solid Earth, Volume 131, Issue 3, March 2026.Abstract As spherical shell mantle convection models become increasingly commonplace, understanding how plates are generated has raised the issue of how to recognize whether rigid plates are present in model output. Tectonocists have long recognized that intraplate regions are not rigid without exception.
P. Javaheri, J. P. Lowman
wiley +1 more source
SUPERPIXEL SEGMENTATION FOR POLSAR IMAGES WITH LOCAL ITERATIVE CLUSTERING AND HETEROGENEOUS STATISTICAL MODEL [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Superpixel segmentation has an advantage that can well preserve the target shape and details. In this research, an adaptive polarimetric SLIC (Pol-ASLIC) superpixel segmentation method is proposed.
D. Xiang +5 more
doaj +1 more source
Superpixel-based Two-view Deterministic Fitting for Multiple-structure Data
, 2016 This paper proposes a two-view deterministic geometric model fitting method, termed Superpixel-based Deterministic Fitting (SDF), for multiple-structure data.
AS Brahmachari +12 more
core +1 more source
Segmenting Planar Superpixel Adjacency Graphs w.r.t. Non-planar Superpixel Affinity Graphs [PDF]
, 2013 We address the problem of segmenting an image into a previously unknown number of segments from the perspective of graph partitioning. Specifically, we consider minimum multicuts of superpixel affinity graphs in which all affinities between non-adjacent superpixels are negative.
Andres, B. +6 more
openaire +2 more sources
Geo: Geography and Environment, Volume 13, Issue 1, January‐June 2026.Short Abstract This study evaluates the effectiveness of UAV multispectral imagery combined with machine learning techniques for mapping neglected and underutilised crop species (NUS), specifically taro and sweet potato in smallholder farming systems in South Africa.
Mishkah Abrahams +7 more
wiley +1 more source
A Two-Stage Gradient Ascent-Based Superpixel Framework for Adaptive Segmentation
Applied Sciences, 2019 Superpixel segmentation usually over-segments an image into fragments to extract regional features, thus linking up advanced computer vision tasks. In this work, a novel coarse-to-fine gradient ascent framework is proposed for superpixel-based color ...
Wangpeng He +4 more
doaj +1 more source