Results 51 to 60 of about 1,601,796 (383)

Object-Based Flood Mapping and Affected Rice Field Estimation with Landsat 8 OLI and MODIS Data

Remote Sensing, 2015
Cambodia is one of the most flood-prone countries in Southeast Asia. It is geographically situated in the downstream region of the Mekong River with a lowland floodplain in the middle, surrounded by plateaus and high mountains.
Phuong D. Dao, Yuei-An Liou
doaj   +1 more source

BreaCNet: A high-accuracy breast thermogram classifier based on mobile convolutional neural network

Mathematical Biosciences and Engineering, 2022
The presence of a well-trained, mobile CNN model with a high accuracy rate is imperative to build a mobile-based early breast cancer detector. In this study, we propose a mobile neural network model breast cancer mobile network (BreaCNet) and its ...
Roslidar Roslidar , Mohd Syaryadhi , Khairun Saddami , Biswajeet Pradhan, Fitri Arnia, Maimun Syukri, Khairul Munadi   +6 more
doaj   +1 more source

On the Segmentation of Markets [PDF]

Journal of Political Economy, 2007
This paper endogenizes the market structure of an economy with heterogeneous agents who want to form bilateral matches in the presence of search frictions and when utility is nontransferable. There exist infinitely many marketplaces, and each agent chooses which marketplace to be in: agents get to choose not only whom to match with but also whom they ...
Jacquet, Nicolas Laurent, Tan, Serene Sze-Ching   +1 more
openaire   +5 more sources

Text Segmentation by Cross Segment Attention [PDF]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Document and discourse segmentation are two fundamental NLP tasks pertaining to breaking up text into constituents, which are commonly used to help downstream tasks such as information retrieval or text summarization. In this work, we propose three transformer-based architectures and provide comprehensive comparisons with previously proposed approaches
Gonçalo Simões, Boris Dadachev, Michal Lukasik, Kishore Papineni   +3 more
openaire   +3 more sources

Segmentation by transduction [PDF]

2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008
This paper addresses the problem of segmenting an image into regions consistent with user-supplied seeds (e.g., a sparse set of broad brush strokes). We view this task as a statistical transductive inference, in which some pixels are already associated with given zones and the remaining ones need to be classified.
Duchenne, Olivier, Audibert, Jean-Yves, Keriven, Renaud, Ponce, Jean, Ségonne, Florent   +4 more
openaire   +4 more sources

CCNet: Criss-Cross Attention for Semantic Segmentation [PDF]

IEEE International Conference on Computer Vision, 2018
Full-image dependencies provide useful contextual information to benefit visual understanding problems. In this work, we propose a Criss-Cross Network (CCNet) for obtaining such contextual information in a more effective and efficient way.
Zilong Huang, Xinggang Wang, Lichao Huang, Chang Huang, Yunchao Wei, Humphrey Shi, Wenyu Liu   +6 more
semanticscholar   +1 more source

Prosodic cues enhance rule learning by changing speech segmentation mechanisms

Frontiers in Psychology, 2015
Prosody has been claimed to have a critical role in the acquisition of grammatical information from speech. The exact mechanisms by which prosodic cues enhance learning are fully unknown.
Ruth eDe Diego-Balaguer, Ruth eDe Diego-Balaguer, Ruth eDe Diego-Balaguer, Antoni eRodriguez-Fornells, Antoni eRodriguez-Fornells, Antoni eRodriguez-Fornells, Anne-Catherine eBachoud-Lévi, Anne-Catherine eBachoud-Lévi, Anne-Catherine eBachoud-Lévi, Anne-Catherine eBachoud-Lévi   +9 more
doaj   +1 more source

Cellpose: a generalist algorithm for cellular segmentation

Nature Methods, 2020
Many biological applications require the segmentation of cell bodies, membranes and nuclei from microscopy images. Deep learning has enabled great progress on this problem, but current methods are specialized for images that have large training datasets.
C. Stringer, Tim Wang, Michalis Michaelos, Marius Pachitariu   +3 more
semanticscholar   +1 more source

GLOBAL DEFORMABLE SURFACE OPTIMIZATION USING ADAPTIVE CONSTRAINTS AND PENALTIES

Image Analysis and Stereology, 2011
Deformable models are able to solve surface extraction problems challenged by image noise because imageindependent constraints are used to regularize the shape of the extracted surface.
Jussi Tohka
doaj   +1 more source

Ensembling Instance and Semantic Segmentation for Panoptic Segmentation [PDF]

arXiv, 2023
We demonstrate our solution for the 2019 COCO panoptic segmentation task. Our method first performs instance segmentation and semantic segmentation separately, then combines the two to generate panoptic segmentation results. To enhance the performance, we add several expert models of Mask R-CNN in instance segmentation to tackle the data imbalance ...
arxiv