نتایج جستجو برای: emo sensory quotient

تعداد نتایج: 105279  

2012
Jamie Ward Ophelia Deroy Noam Sagiv Jackie Thompson Mary Jane Spiller Ana Tajadura-Jiménez Avishai Henik Uta Maria Jürgens Devin B. Terhune

Are we all synaesthetes? Weakening the case for 'weak synaesthesia' Synaesthesia quotient: individual index of expression of general neurocognitive aspects in developmental synaesthesia and its methodological implications Synaesthesia reclassified: From canonical to borderline cases of 'sensory unions' The sound of size: combined TMS-EEG results on pitch-size associations support the spectrum t...

Journal: :CoRR 2014
Erik Tromp Mykola Pechenizkiy

We study sentiment analysis beyond the typical granularity of polarity and instead use Plutchik’s wheel of emotions model. We introduce RBEM-Emo as an extension to the Rule-Based Emission Model algorithm to deduce such emotions from human-written messages. We evaluate our approach on two different datasets and compare its performance with the current state-of-the-art techniques for emotion dete...

Journal: :IEEE Transactions on Affective Computing 2021

Articulation, emotion, and personality play strong roles in the orofacial movements. To improve naturalness expressiveness of virtual agents (VAs), it is important that we carefully model complex interplay between these factors. This paper proposes a conditional generative adversarial network, called sequential GAN (CSG), which learns relationship emotion lexical content principled manner. uses...

2013
Miqing Li Shengxiang Yang Xiaohui Liu Kang Wang

The Pareto envelope-based selection algorithm II (PESA-II) is a classic evolutionary multiobjective optimization (EMO) algorithm that has been widely applied in many fields. One attractive characteristic of PESA-II is its grid-based fitness assignment strategy in environmental selection. In this paper, we propose an improved version of PESA-II, called IPESA-II. By introducing three improvements...

Journal: :Studies in computational intelligence 2021

Evolutionary multi-objective optimization (EMO) found applications in all fields of science and engineering. Chemical engineering discipline is no exception. Literature abounds on EMO with a variety algorithms proposed by few dedicated researchers. The Nondominated Sorting Genetic Algorithm (NSGA-III) the latest addition to family EMO. NSGA-III claims have solved multi many-objective problems u...

Journal: :iranian journal of fuzzy systems 2007
anand swaroop prajapati

the concept of right (left) quotient (or residual) of an ideal η by anideal ν of an l-subring μ of a ring r is introduced. the right (left) quotients areshown to be ideals of μ . it is proved that the right quotient [η :r ν ] of an idealη by an ideal ν of an l-subring μ is the largest ideal of μ such that[η :r ν ]ν ⊆ η . most of the results pertaining to the notion of quotients(or residual) of ...

1999
Benjamin Doerr Anand Srivastav

In this article we introduce (combinatorial) multi{color discrepancy and generalize some classical results from 2{color discrepancy theory to c colors. We give a recursive method that constructs c{colorings from approximations to the 2{color discrepancy. This method works for a large class of theorems like the six{standard{deviation theorem of Spencer, the Beck{Fiala theorem and the results of ...

1996
Claude Tardif

We introduce a construction called the fractional multiples of a graph. These graphs are used to settle a question raised by E. Welzl: We show that if G and H are vertex-transitive graphs such that there exists a homomorphism fromG toH but no homomorphism fromH to G, then there exists a vertex-transitive graph that is homomorphically “in between” G and H.

Journal: :CoRR 2017
István Kovács Géza Tóth

We construct a dense point set of n points in the plane with ne( √ logn) halving lines. This improves the bound O(n log n) of Edelsbrunner, Valtr and Welzl from 1997. We also observe that the upper bound on the maximum number of halving lines of dense point set can be improved to O(n). Our construction can be generalized to higher dimensions, for any d we construct a dense point set of n points...

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