Results 11 to 20 of about 1,465,159 (304)
Market Segmentation Trees [PDF]
Manufacturing & Service Operations Management, 2023 Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market segmentations explicitly driven by identifying differences in user response patterns.
Ali Aouad +3 more
openaire +5 more sources
CoRR, 2020 Stabbing queries in sets of intervals are usually answered using segment trees. A dynamic variant of segment trees has been presented by van Kreveld and Overmars, which uses red-black trees to do rebalancing operations. This paper presents zipping segment trees - dynamic segment trees based on zip trees, which were recently introduced by Tarjan et al ...
Lukas Barth, Dorothea Wagner
openaire +8 more sources
Multi-modal RGB-D Image Segmentation from Appearance and Geometric Depth Maps
TecnoLógicas, 2020 Classical image segmentation algorithms exploit the detection of similarities and discontinuities of different visual cues to define and differentiate multiple regions of interest in images.
Isail Salazar +2 more
doaj +1 more source
Sample Plots Forestry Parameters Verification and Updating Using Airborne LiDAR Data
Remote Sensing, 2023 The rapid development of LiDAR technology has promoted great changes in forest resource surveys. The airborne LiDAR point cloud can provide the precise height and detailed structure of trees, and can estimate key forest resource indicators such as forest
Jie Wang +4 more
doaj +1 more source
Optimal Segmentation Using Tree Models [PDF]
Sixth International Conference on Data Mining (ICDM'06), 2006 Sequence data are abundant in application areas such as computational biology, environmental sciences, and telecommunication. Many real-life sequences have a strong segmental structure, with segments of different complexities. In this paper we study the description of sequence segments using variable length Markov chains (VLMCs), also known as tree ...
Robert Gwadera +2 more
openaire +3 more sources
Triplet Markov Trees for Image Segmentation [PDF]
2018 IEEE Statistical Signal Processing Workshop (SSP), 2018 This paper introduces a triplet Markov tree model designed to minimize the block effect that may be encountered while segmenting image using Hidden Markov Tree (HMT) model-ing. We present the model specificities, the Bayesian Maximum Posterior Mode segmentation, and a parameter estimation strategy in the unsupervised context.
Courbot, Jean-Baptiste +3 more
openaire +3 more sources
Automatic texture segmentation for content-based image retrieval application [PDF]
, 2006 In this article, a brief review on texture segmentation is presented, before a novel automatic texture segmentation algorithm is developed. The algorithm is based on a modified discrete wavelet frames and the mean shift algorithm.
Fauzi, M.F.A. +3 more
core +2 more sources
Individual Tree Parameters Estimation for Plantation Forests Based on UAV Oblique Photography
IEEE Access, 2020 The parameters of individual trees in forests are important for accurate forestry inventory and sustainable management. Unmanned aerial vehicle (UAV) oblique photogrammetry technology plays an important role in forest surveys because of its flexibility ...
Xuemei Zhou, Xiaoli Zhang
doaj +1 more source
Interactive Segmentation Based on Component-trees [PDF]
Image Processing On Line, 2014 Component-trees associate to a discrete gray-level image a descriptive data structure induced by the inclusion relation between the binary components obtained at successive level-sets. This article presents an interactive segmentation methodology based on component-trees.
Naegel, Benoît, Passat, Nicolas
openaire +4 more sources
Unsupervised colour image segmentation using dual-tree complex wavelet transform [PDF]
, 2010 In this paper we present an effective unsupervised colour image segmentation algorithm which uses multiscale edge information and spatial colour content. The multiscale edge information is extracted using the dual-tree complex wavelet transform.
Tjahjadi, Tardi, Çelik, Turgay
core +1 more source