Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Ali Soltani-Farani"'
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 14:592-596
Semisupervised hyperspectral unmixing finds the ratio of spectral library members in the mixture of hyperspectral pixels to find the proportion of pure materials in a natural scene. The two main challenges are noise in observed spectral vectors and h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05950e3d4abb8b3b471007844779499a
https://doi.org/10.1109/lgrs.2017.2649418
https://doi.org/10.1109/lgrs.2017.2649418
Publikováno v:
IEEE Communications Letters. 19:38-41
Monitoring large-scale networks is a critical yet challenging task. Enormous number of nodes and links, limited power, and lack of direct access to the entire network are the most important difficulties. In applications such as network routing, where
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf1259e202c90fda5d055d511da4defa
https://doi.org/10.1109/lcomm.2014.2360386
https://doi.org/10.1109/lcomm.2014.2360386
Autor:
Ali Soltani-Farani, Hamid R. Rabiee
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 12:107-111
In this letter, a spatially weighted sparse unmixing approach is proposed as a front-end for hyperspectral image classification using a linear SVM. The idea is to partition the pixels of a hyperspectral image into a number of disjoint spatial neighbo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ac3862d4dd209d8e782cd69a7002e3d
https://doi.org/10.1109/lgrs.2014.2328319
https://doi.org/10.1109/lgrs.2014.2328319
Publikováno v:
ICIP
Sparse representation techniques for visual tracking have rarely taken advantage of the similarity between target objects in consecutive frames. In this paper, the target is divided into disjoint patches, and the sparse representation of correspondin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f4ce76021be622c47ece89c7886e15f
https://doi.org/10.1109/icip.2014.7025091
https://doi.org/10.1109/icip.2014.7025091
Publikováno v:
ICIP
In this paper, a novel discriminative dictionary learning approach is proposed that attempts to preserve the local structure of the data while encouraging discriminability. The reconstruction error and sparsity inducing l 1 -penalty of dictionary lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ca46ce527aa6dc0fdcd6a20f9088561
https://doi.org/10.1109/icip.2014.7026061
https://doi.org/10.1109/icip.2014.7026061
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 23(10)
This paper presents a robust tracking approach to handle challenges such as occlusion and appearance change. Here, the target is partitioned into a number of patches. Then, the appearance of each patch is modeled using a dictionary composed of corres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4eb2ecadf57b2429988d508c9fbbdd59
https://pubmed.ncbi.nlm.nih.gov/25122573
https://pubmed.ncbi.nlm.nih.gov/25122573
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783662448472
ECML/PKDD (1)
ECML/PKDD (1)
Classifying streams of data, for instance financial transactions or emails, is an essential element in applications such as online advertising and spam or fraud detection. The data stream is often large or even unbounded; furthermore, the stream is i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d230e25050480dfb9cce42af22f2627
https://doi.org/10.1007/978-3-662-44848-9_1
https://doi.org/10.1007/978-3-662-44848-9_1
Publikováno v:
PRNI
Functional behavior of the brain can be captured using functional Magnetic Resonance Imaging (fMRI). Even though fMRI signals have temporal and spatial structures, most studies have neglected the temporal structure when inferring mental states (brain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6e39270a8f44df3a608ae252afc87e4
https://doi.org/10.1109/prni.2013.54
https://doi.org/10.1109/prni.2013.54
This paper presents a structured dictionary-based model for hyperspectral data that incorporates both spectral and contextual characteristics of a spectral sample, with the goal of hyperspectral image classification. The idea is to partition the pixe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8edfd7f9b7ef7e311a3ede74353a1f16
Autor:
Mohamed El Helw, Yang Li, Lijun Cao, Samantha Yueying Lim, Behzad Bozorgtabar, Junge Zhang, Adam Gatt, Matej Kristan, Dorothy Monekosso, Karel Lebeda, ZhiHeng Niu, Dale A. Ward, Alfredo Petrosino, Paolo Remagnino, Xiaoqin Zhang, David Kearney, Jin Gao, Jianke Zhu, Weiming Hu, Ahmad Khajenezhad, Mario Edoardo Maresca, Gustavo Fernandez, Fatih Porikli, Luka Cehovin, Mei Kuan Lim, Bo Li, Ale Leonardis, Kaiqi Huang, Sebastien Wong, Jingjing Xiao, Cherkeng Heng, Roland Goecke, Georg Nebehay, Roman Pflugfelder, Rustam Stolkin, Anthony Milton, Shin'Ichi Satoh, Jiri Matas, Richard Bowden, Weihua Chen, Hamid R. Rabiee, Ali Zarezade, Sara Maher, Ali Soltani-Farani, Ahmed Salahledin, Michael Felsberg, Junliang Xing, Hakki Can Karaimer, Sebastien Poullot, Toma Vojir, Chee Seng Chan
Publikováno v:
ICCV Workshops
2013 14th IEEE International Conference on Computer Vision Workshops, ICCVW 2013; Sydney, NSW; Australia; 1 December 2013 through 8 December 2013
Visual tracking has attracted a significant attention in the last few decades. The recent surge in
Visual tracking has attracted a significant attention in the last few decades. The recent surge in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb7bcfb667d04a42bb42b31360fc6985
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-135710
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-135710