This paper introduces a new concept of LLE eigenface modelled by local linear embedding (LLE), and compares it with the traditional PCA eigenface from principle component analysis (PCA) on pose identity and face identity recognition through face classification. LLE eigenface is found outperforming PCA eigenface on the discrimination/recogntion of both face identity and pose identity. The superi...

Cancer subtype recognition and feature selection are important problems in the diagnosis and treatment of tumors. Here, we propose a novel gene selection approach applied to gene expression data classification. First, two classical feature reduction methods including locally linear embedding (LLE) and rough set (RS) are summarized. The advantages and disadvantages of these algorithms were analy...

The prediction method of the isobaric vapor-liquid-liquid equilibria (VLLE) data for the system ethanol-water-1-butanol and ethanol-2-butanol-water was studied. The parameters for the activity coefficients models were determined from the constituent binary VLE data. With the parameters, the isobaric ternary VLLE data were predicted and compared with the experimental ones obtained in our previou...

In several articles, Shiffrin et al. (e.g., Shiffrin, Ratcliff, & Clark, 1990) argued that their data on the list-strength effect (LSE), in conjunction with their data on the list-length effect (LLE), are counter to current global matching memory models (GMMs). This is only true if one assumes that the memory system is reinitialized after every list, which is an unrealistic default assumption p...

Liquid-Liquid Equilibrium (LLE) data are measured for the ternary mixtures of water + 1-butanol + butyl acetate and quaternary mixtures of water + 1-butanol + butyl acetate + glycerol at atmospheric pressure at 313.15 K. In addition, isothermal vapor–liquid–liquid equilibrium (VLLE) data are determined experimentally at 333.15 K. The region of heterogeneity is found to increase as the hydrophil...

Experimental liquid-liquid equilibria of the water-acetic acid-butyl acetate system were studied at temperatures of 298.15±0.20, 303.15±0.20 and 308.15±0.20 K. Complete phase diagrams were obtained by determining solubility and tie-line data. The reliability of the experimental tie-line data was ascertained by using the Othmer and Tobias correlation. The UNIFAC group contribution method was use...

In this paper, we present a novel method for analysis of Ayurvedic pulse signals via a recently developed nonlinear dimensionality reduction scheme called Consensus Locally Linear Embedding (C-LLE). Pulse Based Diagnosis (PBD) is a prominent method of disease detection in Ayurveda, the system of Indian traditional medicine. Ample anecdotal evidence suggests that for several conditions, PBD, bas...

In this paper, we proposed a new nonlinear dimensionality reduction algorithm called regularized Kernel Local Linear Embedding (rKLLE) for highly structured data. It is built on the original LLE by introducing kernel alignment type of constraint to effectively reduce the solution space and find out the embeddings reflecting the prior knowledge. To enable the non-vectorial data applicability of ...

We propose an extension of the algorithm for nonlinear dimensional reduction locally linear embedding (LLE) based on the usage of the geodesic distance (ISOLLE). In LLE, each data point is reconstructed from a linear combination of its n nearest neighbors, which are typically found using the Euclidean distance. We show that the search for the neighbors performed with respect to the geodesic dis...

PURPOSE The primary objectives of this study were to determine the prevalence of late language emergence (LLE) and to investigate the predictive status of maternal, family, and child variables. METHOD This is a prospective cohort study of 1,766 epidemiologically ascertained 24-month-old singleton children. The framework was an ecological model of child development encompassing a wide range of...