Results 11 to 20 of about 247,844 (268)
CoRR, 2020 Pruning has become a very powerful and effective technique to compress and accelerate modern neural networks. Existing pruning methods can be grouped into two categories: filter pruning (FP) and weight pruning (WP). FP wins at hardware compatibility but loses at the compression ratio compared with WP.
Fanxu Meng 0003 +6 more
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A Probabilistic Perspective on Gaussian Filtering and Smoothing [PDF]
, 2010 15.07.13 KB. Ok to add report to Spiral.We present a general probabilistic perspective on Gaussian filtering and smoothing. This allows us to show that common approaches to Gaussian filtering/smoothing can be distinguished solely by their methods of ...
Deisenroth, MP, Ohlsson, H
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IR detection module with integrated real-time FIR filter implemented in FPGA [PDF]
International Journal of Electronics and TelecommunicationsInfrared detectors are usually characterized by 1/f noise when operating with biasing. This type of noise significantly reduces detection capabilities for low-level and slow signals.
Krzysztof Achtenberg +2 more
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Mixed H2/H∞ filtering for uncertain systems with regional pole assignment [PDF]
, 2005 Copyright [2005] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Wang, Z +4 more
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H ? filtering for stochastic singular fuzzy systems with time-varying delay [PDF]
, 2014 This paper considers the H? filtering problem for stochastic singular fuzzy systems with timevarying delay. We assume that the state and measurement are corrupted by stochastic uncertain exogenous disturbance and that the system dynamic is modeled ...
Cai, Min +3 more
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Symmetries of differential equations in computer vision applications [PDF]
Компьютерные исследования и моделирование, 2010 In our work we present generalization of well-known approach for construction of invariant feature vectors of images in computer vision applications. Basic feature of the suggested algorithm is replacement of commonly used Gaussian filter by convolution ...
Denis Aleksandrovich Vrazhnov +2 more
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TFSS, 2022 In this paper, we develop a theory of $\top$-nets and study their relation to $\top$-filters. We show that convergence in strong $L$-topological spaces can be described by both $\top$-nets and $\top$-filters and both concepts are equivalent in the sense that definitions and proofs that are given using $\top$-filters can also be given using $\top ...
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Adaptive pre-filtering techniques for colour image analysis [PDF]
, 2007 One important step in the process of colour image segmentation is to reduce the errors caused by image noise and local colour inhomogeneities. This can be achieved by filtering the data with a smoothing operator that eliminates the noise and the ...
Dana Elena Ilea +3 more
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Internet Policy Review, 2019 Introduced by tech entrepreneur and activist Eli Pariser in 2011, the ‘filter bubble’ is a persistent concept which suggests that search engines and social media, together with their recommendation and personalisation algorithms, are centrally culpable for the societal and ideological polarisation experienced in many countries: we no longer encounter a
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Linear and nonlinear filtering in mathematical finance: a review [PDF]
, 2010 Copyright @ The Authors 2010This paper presents a review of time series filtering and its applications in mathematical finance. A summary of results of recent empirical studies with market data are presented for yield curve modelling and stochastic ...
Date, P +3 more
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