Results 61 to 70 of about 15,411,411 (237)

Unsupervised Class Generation to Expand Semantic Segmentation Datasets

Journal of Imaging
Semantic segmentation is a computer vision task where classification is performed at the pixel level. Due to this, the process of labeling images for semantic segmentation is time-consuming and expensive.
Javier Montalvo, Álvaro García-Martín, Pablo Carballeira, Juan C. SanMiguel   +3 more
doaj   +1 more source

Understanding Complexity [PDF]

, 2009
{Excerpt} In development agencies, paradigms of linear causality condition much thinking and practice. They encourage command-and-control hierarchies, centralize decision making, and dampen creativity and innovation.
Serrat, Olivier
core   +1 more source

Understanding and Explaining [PDF]

Almagest, 2012
The quest to provide a fundamental understanding and explanation of reality is an ambitious one. Perhaps it is too ambitious. The possible restrictions for such an enterprise to be successful must be inquired in order to determine the issue. Section 1 explores one’s understanding in reaching (scientific) conclusions: to what extent does a successful ...
openaire   +5 more sources

A multi-task genetic programming approach for online multi-objective container placement in heterogeneous cluster

Complex & Intelligent Systems
Owing to the potential for fast deployment, containerization technology has been widely used in web applications based on microservice architecture.
Ruochen Liu, Haoyuan Lv, Ping Yang, Rongfang Wang   +3 more
doaj   +1 more source

Multiple Hierarchical Cross-Scale Transformer for Remote Sensing Scene Classification

Remote Sensing
The Transformer model can capture global contextual information but does not have an inherent inductive bias. In contrast, convolutional neural networks (CNNs) are highly praised in computer vision due to their strong inductive bias and local spatial ...
Dan Zhang, Wenping Ma, Licheng Jiao, Xu Liu, Yuting Yang, Fang Liu   +5 more
doaj   +1 more source

Divide-and-Conquer Dual-Architecture Convolutional Neural Network for Classification of Hyperspectral Images

Remote Sensing, 2019
Convolutional neural network (CNN) is well-known for its powerful capability on image classification. In hyperspectral images (HSIs), fixed-size spatial window is generally used as the input of CNN for pixel-wise classification.
Jie Feng, Lin Wang, Haipeng Yu, Licheng Jiao, Xiangrong Zhang   +4 more
doaj   +1 more source

Decomposition-Based Multiobjective Evolutionary Algorithm for Community Detection in Dynamic Social Networks

The Scientific World Journal, 2014
Community structure is one of the most important properties in social networks. In dynamic networks, there are two conflicting criteria that need to be considered.
Jingjing Ma, Jie Liu, Wenping Ma, Maoguo Gong, Licheng Jiao   +4 more
doaj   +1 more source

Understanding the meaning [PDF]

MonTi: Monografías de Traducción e Interpretación, 2009
En este artículo se realiza un repaso de la naturaleza del significado, con énfasis en el carácter asociativo de los significados léxicos. Igualmente, se comentan las dificultades semánticas que el traductor debe superar en múltiples ocasiones, ilustrándolas a través de textos de la Unión Europea, para poder alcanzar una interpretación coherente debido
openaire   +5 more sources

Understanding social exclusion [PDF]

, 2002
This CASEbrief summarises 'Understanding Social Exclusion' edited by John Hills, Julian Le Grand and David Piachaud, published by Oxford University ...
Hills, John, Le Grand, Julian, Piachaud, David   +2 more
core  

Computational Modeling of Saliency from Image Histogram

i-Perception, 2011
Computational model of image saliency plays an important role for vision tasks such as visual search and attention modeling. We developed a computational model that captures both shape and color image saliency based on histograms.
Shijian Lu, Joo Hwee Lim
doaj   +1 more source