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Titlebook: Computer Vision, Graphics, and Image Processing; ICVGIP 2016 Satellit Snehasis Mukherjee,Suvadip Mukherjee,Santanu Chaud Conference proceed

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發(fā)表于 2025-3-23 10:56:04 | 只看該作者
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發(fā)表于 2025-3-23 14:11:34 | 只看該作者
https://doi.org/10.1007/978-3-031-46835-3ategy of recognizing face images of very small sizes using this hybrid architecture trained by standard size face images and the recognition performance is reported. We obtained simulation results using the cropped images of the standard extended Yale Face Database which show an interesting characte
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發(fā)表于 2025-3-23 19:06:39 | 只看該作者
https://doi.org/10.1007/978-3-030-82816-5 complex features which are further input to a multiclass support vector machine (SVM) for classification. We tested our proposed logo recognition system on 32 logo classes, and a non-logo class obtained by combining FlickrLogos-32 and MICC logo databases, amounting to a total of 23582 training and
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發(fā)表于 2025-3-24 00:01:49 | 只看該作者
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The Beginning of EU Data Protectionecent solvers, the Split-Bregman iterative scheme has of late become popular due to its suitability for solving a wide variety of optimization problems. Intending to exploit the underlying structure of sensing matrix, the present work analyzes its properties and finds a banded structure for an assoc
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發(fā)表于 2025-3-24 11:52:04 | 只看該作者
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發(fā)表于 2025-3-24 15:15:25 | 只看該作者
A Beta Distribution Based Novel Scheme for Detection of Changes in Crowd Motionimportant cue for studying the behaviour of such crowd. In this work, crowd motion is modelled using beta distribution. Change in the distribution parameter is an indicator for change in crowd motion pattern. Proposed methodology has been tested with number of synthetic and natural video sequences and the performance is satisfactory.
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發(fā)表于 2025-3-24 20:30:02 | 只看該作者
Law, Governance and Technology Seriesimportant cue for studying the behaviour of such crowd. In this work, crowd motion is modelled using beta distribution. Change in the distribution parameter is an indicator for change in crowd motion pattern. Proposed methodology has been tested with number of synthetic and natural video sequences and the performance is satisfactory.
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發(fā)表于 2025-3-24 23:54:59 | 只看該作者
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