1,723,123 research outputs found
Visual scene recognition with biologically relevant generative models
No full textThis research focuses on developing visual object categorization methodologies that are based on machine learning techniques and biologically inspired generative models of visual scene recognition. Modelling the statistical variability in visual patterns, in the space of features extracted from them by an appropriate low level signal processing technique, is an important matter of investigation for both humans and machines. To study this problem, we have examined in detail two recent probabilistic models of vision: a simple multivariate Gaussian model as suggested by (Karklin & Lewicki, 2009) and a restricted Boltzmann machine (RBM) proposed by (Hinton, 2002). Both the models have been widely used for visual object classification and scene analysis tasks before. This research highlights that these models on their own are not plausible enough to perform the classification task, and suggests Fisher kernel as a means of inducing discrimination into these models for classification power. Our empirical results on standard benchmark data sets reveal that the classification performance of these generative models could be significantly boosted near to the state of the art performance, by drawing a Fisher kernel from compact generative models that computes the data labels in a fraction of total computation time. We compare the proposed technique with other distance based and kernel based classifiers to show how computationally efficient the Fisher kernels are. To the best of our knowledge, Fisher kernel has not been drawn from the RBM before, so the work presented in the thesis is novel in terms of its idea and application to vision problem
In Their Own Words Understanding Lashkar-E-Tayyaba
No full textUncovers how the jihadist terrorist group Lashkar-e-Tayy-aba functions in Pakistan and beyon
The Validation of the Conceptual Scale of Hayat Tayyaba based on Islamic Texts
No full textThe purpose of this research is to validate the conceptual scale of Hayat Tayyaba based on Islamic sources. The research approach was quantitative and the method used was descriptive-survey. The statistical population of the research consisted of all the faculty members of theology, education and Islamic education, doctoral students of theology and Islamic education, primary school and high school teachers of education department. 317 people were selected using simple random sampling method. The instrument used was a researcher-made questionnaire based on theoretical studies and research background and with a Likert scale. For its validity and reliability, content validity and Cronbach's alpha were used and analyzed by confirmatory factor analysis. Based on the results of the quantitative part, the conceptual scale of Hayat Tayyaba was confirmed by the research sample, and the results of the confirmatory factor analysis showed the significance of all the components of the conceptual scale
FIGURE 3. A–E in Entoloma griseofibrillosus (Entolomataceae, Basidiomycota), a new species from Punjab, Pakistan
No full textFIGURE 3. A–E Basidiomata of E. griseofibrillosus.. A–D = Pileus view (LAH35884, Holotype), E, F = Lamellae & Stipe view (LAH10512016, Paratype) Scale Bars A–E = 10 mm. Photos by: Aiman Izhar & Tayyaba Qasim.Published as part of Izhar, Aiman, Qasim, Tayyaba, Asif, Muhammad, Niazi, Abdul Rehman & Khalid, Abdul Nasir, 2023, Entoloma griseofibrillosus (Entolomataceae, Basidiomycota), a new species from Punjab, Pakistan, pp. 1-14 in Phytotaxa 589 (1) on page 6, DOI: 10.11646/phytotaxa.589.1.1, http://zenodo.org/record/775497
Perspectives of Non-Methyl-Aminolevulinate/Aminolevulinic cid Photodynamic Therapy in Dermatology
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FIGURE 4 in Entoloma griseofibrillosus (Entolomataceae, Basidiomycota), a new species from Punjab, Pakistan
No full textFIGURE 4. Micromorphological elements of E. griseofibrillosus. A–G (LAH35884, Holotype): A = Basidiospores, B = Cheilocystidia, C = Crassobasida, D = Basidia, E = Hymenophoral trama, F = Pileipellis elements, F = Stipitipellis elements. Drawings by: Tayyaba Qasim.Published as part of Izhar, Aiman, Qasim, Tayyaba, Asif, Muhammad, Niazi, Abdul Rehman & Khalid, Abdul Nasir, 2023, Entoloma griseofibrillosus (Entolomataceae, Basidiomycota), a new species from Punjab, Pakistan, pp. 1-14 in Phytotaxa 589 (1) on page 7, DOI: 10.11646/phytotaxa.589.1.1, http://zenodo.org/record/775497
sj-docx-2-eae-10.1177_0958305X221074727 - Supplemental material for Environmental impact of fiscal decentralization, green technology innovation and institution’s efficiency in developed countries using advance panel modelling
No full textSupplemental material, sj-docx-2-eae-10.1177_0958305X221074727 for Environmental impact of fiscal decentralization, green technology innovation and institution’s efficiency in developed countries using advance panel modelling by Feng Wang, Tayyaba Rani and Asif Razzaq in Energy & Environment</p
sj-docx-1-eae-10.1177_0958305X221074727 - Supplemental material for Environmental impact of fiscal decentralization, green technology innovation and institution’s efficiency in developed countries using advance panel modelling
No full textSupplemental material, sj-docx-1-eae-10.1177_0958305X221074727 for Environmental impact of fiscal decentralization, green technology innovation and institution’s efficiency in developed countries using advance panel modelling by Feng Wang, Tayyaba Rani and Asif Razzaq in Energy & Environment</p
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