The normalization model of attention proposes that attention can affect performance by response- or contrast-gain changes, depending on the size of the stimulus and attention field. Here, we manipulated the attention field by emotional valence, negative faces versus positive faces, while holding stimulus size constant in a spatial cueing task. We observed changes in the cueing effect consonant ...

In this study, we introduce a new set of one-dimensional discrete, constant length features to represent two dimensional shape information for HMM (Hidden Markov Model), based handwritten optical character recognition problem. The proposed feature set embeds the two dimensional information into a sequence of onedimensional codes, selected @om a code book. It provides a consistent normalization ...

In this paper we present a modified version of the Hyperbolic Tangent Activation Function as a learning unit generator for neural networks. The function uses an integer calibration constant as an approximation to the Euler number, e, based on a quadratic Real Number Formula (RNF) algorithm and an adaptive normalization constraint on the input activations to avoid the vanishing gradient. We demo...

The Szekeres system with cosmological constant term describes the evolution of kinematic quantities for Einstein field equations in $${\mathbb {R}}^4$$ . In this study, we investigate behavior trajectories presence constant. It has been shown that is a Hamiltonian dynamical system. admits at least two conservation laws, h and $$I_{0}$$ which indicate integrability We solve Hamilton–Jacobi equat...

Social media texts, such as tweets from Twitter, contain many types of nonstandard tokens, and the number of normalization approaches for handling such noisy text has been increasing. We present a method for automatically extracting pairs of a variant word and its normal form from unsegmented text on the basis of a pair-wise similarity approach. We incorporated the acquired variant-normalizatio...

Tweets often contain a large proportion of abbreviations, alternative spellings, novel words and other non-canonical language. These features are problematic for standard language analysis tools and it can be desirable to convert them to canonical form. We propose a novel text normalization model based on learning edit operations from labeled data while incorporating features induced from unlab...

The problem of inferring accurate quantitative estimates of transcript abundances from gene expression microarray data is addressed. Particular attention is paid to correcting chip-to-chip variations arising mainly as a result of unwanted nonspecific background hybridization to give transcript abundances measured in a common scale. This study verifies and generalizes a model of the mutual depen...

In this letter we study various Inozemtsev-type limits of the quantum double elliptic (DELL) system when both parameters are sent to zero at different rates, while coupling constant is infinity, such that a certain combination three kept fixed. We find regime in which Inozemtsev limit DELL produces Ruijsenaars-Schneider (eRS) Hamiltonians albeit an unconventional normalization. discuss other sc...