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...

LLE Review, Volume 71 101 The experimental program1 at LLE supports the national inertial confinement fusion (ICF) effort by performing experiments on OMEGA2 to investigate the requirements for attaining ignition using direct-drive targets on the National Ignition Facility. One of the primary challenges in direct-drive ICF is to minimize perturbations in the target that are created by nonunifor...

The locally linear embedding (LLE) algorithm is useful for analyzing sets of very different geoscientific images, ranging from smooth potential field images, to sharp outputs from modeling fracturing and fluid flows via cellular automata, to hand sketches of geological sections. LLE maps the very high-dimensional space embedding the images into 2-D, arranging the images on a plane. This arrange...

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...

LLE Review, Volume 78 93 Measurements of the charged-particle products of the fusion reactions from an imploding inertial fusion capsule can provide a direct means of characterizing key aspects of the implosion dynamics. Parameters such as the fusion yield, fuel ion temperature, capsule convergence, fuel and shell areal densities, and implosion asymmetry can be inferred by these measurements an...

The extraction of chronic pacemaker and internal cardioverter defibrillator leads is performed for a number of reasons including chronic infection, lead dysfunction, and venous obstruction. Traditionally leads were removed by traction which is associated with a high incidence of failure and serious complications. This has led to the introduction of laser lead extraction (LLE) which is a safe an...

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 present a real-time markerless human motion capture technique based on un-calibrated synchronized cameras. Training sets of real motions captured from marker based systems are used to learn an optimal pose manifold of human motion via Kernel Principal Component Analysis (KPCA). Similarly, a synthetic silhouette manifold is also learnt, and markerless motion capture can then be viewed as the ...

fMRI data is represented in a space with very high dimensionality. Because of this, classifiers such as SVM and Naive Bayes may overfit this data. Dimensionality reduction methods are intended to extract features from data in a high dimensional space. Training a classifier on data in a lower dimension may improve the true error of the classifier beyond the performance obtained by training in a ...