In the end, we have the number of people sitting at each table. This corresponds to a distribution over clusterings, where custermer = index, and table = cluster. Although CRP gives potentially infinite number of clusters, the expected number of clusters given n customers is O(α log(n)). The number of clusters also indicates the rich-get-richer effect on clusters. Also as α goes to 0, the numbe...

An emphasis is made on the diversity of nutrients that rhizosphere bacteria may encounter derived from roots, soil, decaying organic matter, seeds, or the microbial community. This nutrient diversity may be considered analogous to a buffet and is contrasting to the hypothesis of oligotrophy at the rhizosphere. Different rhizosphere bacteria may have preferences for some substrates and this woul...

Here we discuss the “shifted” equivalence class of binary matrices first proposed by Ding et al. (2010). For a given N ×K binary matrix Z, the equivalence class for this binary matrix [Z] is obtained by shifting allzero columns to the right of the non-zero columns while maintaining the non-zero column orderings, see Figure 1. Placing independent Beta( α K , 1) priors on the Bernoulli entries of...

The steady/unsteady flow of the BGK No. 1 supercritical airfoil is investigated by the solution of the Reynolds-Averaged Navier-Stokes equations with a two-equation k-ω turbulence model. The dual-time stepping method is used to march in time. Two steady cases ( 71 . 0 = Ma , 396 . 1 = α and 71 . 0 = Ma , 0 . 9 = α ) and one unsteady case ( 71 . 0 = Ma , 97 . 6 = α ), both with a far-stream 6 10...

In the domain of object recognition and image classification, a recent trend is to use image properties or attributes to represent the images. Most of the proposed models in the past require that the number of attributes and attribute semantics be specified in advance. In this paper, we propose a generative model for image attributes that combine attribute-based vision models and feature-based ...

Determining interactions between entities and the overall organization and clustering of nodes in networks is a major challenge when analyzing biological and social network data. Here we extend the Indian Buffet Process (IBP), a nonparametric Bayesian model, to integrate noisy interaction scores with properties of individual entities for inferring interaction networks and clustering nodes withi...

The Indian Buffet Process is a Bayesian nonparametric approach that models objects as arising from an infinite number of latent factors. Here we extend the latent factor model framework to two or more unbounded layers of latent factors. From a generative perspective, each layer defines a conditional factorial prior distribution over the binary latent variables of the layer below via a noisy-or ...

The paper reviews recent achievements in the application of smart-materials actuation to counteract aeroelastic and vibration effects in helicopters and fixed wing aircraft. A brief review of the induced-strain actuation principles and capabilities is done first. Attention is then focused on the smart rotor blade applications. Induced twist, active blade tip, and active blade flap are presented...

Abstract Transonic buffet behaviour of the supercritical airfoil OAT15A was investigated experimentally at flow conditions $$Ma=0.7$$ M a = 0.7 and $$\alpha =3.5^\circ $$ ? 3 . <mml:msu...