IQGAPs are actin-binding proteins that scaffold numerous interaction partners, transmitting extracellular signals that influence mitogenic, morphological and migratory cell behaviour. However, the precise mechanisms by which IQGAP proteins influence actin dynamics and actin filament structures have been elusive. Now that IQGAP1 has emerged as a potential key regulator of actin-cytoskeletal dyna...

Locally adaptive regression kernels (LARK) can be used as effective descriptors of generic objects, and have been used in object detection algorithms that do not require prior training [1]. This paper demonstrates how these kernels can be applied to the problem of people detection, taking into account the fact that a person can appear in a wide variety of poses, and can come in different shapes...

A computationally efficient approach to local learning with kernel methods is presented. The Fast Local Kernel Support Vector Machine (FaLK-SVM) trains a set of local SVMs on redundant neighbourhoods in the training set and an appropriate model for each query point is selected at testing time according to a proximity strategy. Supported by a recent result by Zakai and Ritov (2009) relating cons...

PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminative representation for recognition due to its global feature nature and unsupervised algorithm. In addition, linear methods such as PCA and ICA can fail in the case of non-linearity. In this paper, we propose a new discr...

Fisheye views use distortion to provide both local detail and global context in a single continuous view. However, the distorted presentation can make it more difficult to interact with the data; it is therefore not clear whether fisheye views are good choices for interactive tasks. To investigate this question, we tested the effects of magnification and representation on user performance in a ...

Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel unsupervised algorithm for outlier detection with a solid statistical foundation is proposed. First we modify a nonparametric density estimate with a variable kernel to yield a robust local density estimation. Outliers are then detected by comparing the local density ...

the initial step in any breeding program including the breeding of walnut is an evaluation of the genetic diversity of its population and on identification of its superior and promising genotypes. this research was carried out during 2009-2010 growing seasons to evaluate the walnut genotypes, population grown in the vicinities of eghlid city, as one of the richest walnut population regions in t...

Being symmetric positive-definite (SPD), covariance matrix has traditionally been used to represent a set of local descriptors in visual recognition. Recent study shows that kernel matrix can give considerably better representation by modelling the nonlinearity in the local descriptor set. Nevertheless, neither the descriptors nor the kernel matrix is deeply learned. Worse, they are considered ...

In nonrelativistic quantum mechanics, measurements performed by separate observers are modeled via tensor products. In algebraic quantum field theory, though, local observables corresponding to spacelike separated parties are just required to commute. The problem of determining whether these two definitions of separation lead to the same set of bipartite correlations is known in nonlocality as ...

This paper considers downhole directional drilling systems in the presence of unexpected variations in steering force, input delays, measurement noise and measurement delays, and explores the application of L1 adaptive controller for the trajectory control problem. The Explicit Force, Finitely Sharp, Zero Mass (EFFSZM) model is used for the steering system, in which spatial delays, modeling ina...