Presented in this paper is an approach to fault diagnosis based on a unifying review of linear Gaussian models. The unifying review draws together different algorithms such as PCA, factor analysis, hidden Markov
Roweis, S., Ghahramani, Z.: A unifying review of linear gaussian models. Neural Comput.11(2), 305–345 (1999) ArticleGoogle Scholar Sanderson, C., Paliwal, K.K.: Identity verification using speech and face information. Digit. Signal Process.14(5), 449–480 (2004) ArticleGoogle Scholar ...
Finally, we define the covariance between two sets of Gaussian models as a special case of their RieLDV-G’s inner product. The contributions of our proposed RieCovDs are three-fold: The rest of this paper is organized as follows. Section 2 presents a review of the related work. In ...
TheBayesian brain hypothesis17uses Bayesian probability theory to formulate perception as a constructive process based on internal or generative models. The underlying idea is that the brain has a model of the world18,19,20,21,22that it tries to optimize using sensory inputs23,24,25,26,27,28...
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models. Chen Henry Wu, Saman Motamed, Shaunak Srivastava, Fernando De la Torre. NeurIPS 2022. [PDF] Interpreting the Weight Space of Customized Diffusion Models. Amil Dravid, Yossi Gandelsman, Kuan-Chieh Wang, Ram...
We review recent experiments involving biological materials on all scales, from single biopolymers over cells to model tissues, to illustrate the unifying power of this paradigm. A deliberately minimalistic yet phenomenologically very rich mathematical modeling framework for inelastic biomechanics is proposed...
Bayes-Newton is a library for approximate inference in Gaussian processes (GPs) inJAX(withobjax), built and maintained byWill Wilkinson. Bayes-Newton provides a unifying view of approximate Bayesian inference, and allows for the combination of many models (e.g. GPs, sparse GPs, Markov GPs, ...
MLC is capable of optimizing models for highly systematic behaviour. The most systematic run produced a transformer that was perfectly systematic (100% exact match accuracy) when choosing the best responses on the same few-shot instruction-learning task given to people (Fig.2; see the ‘Evaluation...
the Heliophysics community faces the need to shift the paradigm by which it creates new scientific knowledge (Kuhn1962)–the advent of Complexity Heliophysics. We will capitalize the term in this review to draw attention to the fact that we posit it as a paradigm, a framework of assumptions, ...
Keywords: snr analysis; quadratic frequency modulated signal; local polynomial fourier transform; linear canonical transform; time frequency representationsCite as: Zhang Y-N, Li B-Z, Goel N, et al. Quantitative SNR analysis of QFM signals in the LPFT domain with Gaussian windows. Sci China Inf...