Search results for "ECoG"

Zero-shot Semantic Segmentation using Relation Network

2021

Zero-shot learning (ZSL) is widely studied in recent years to solve the problem of lacking annotations. Currently, most studies on ZSL are for image classification and object detection. But, zero-shot semantic segmentation, pixel level classification, is still at its early stage. Therefore, this work proposes to extend a zero-shot image classification model, Relation Network (RN), to semantic segmentation tasks. We modified the structure of RN based on other state-of-the-arts semantic segmentation models (i.e. U-Net and DeepLab) and utilizes word embeddings from Caltech-UCSD Birds 200-2011 attributes and natural language processing models (i.e. word2vec and fastText). Because meta-learning …

La ecografía Doppler con flujo en color en el diagnóstico, tratamiento y pronóstico de la Enfermedad de Graves-Basedow

2022

Introducción La ecografía Doppler tiroidea es un método no invasivo que puede proporcionar información acerca del estado funcional de la glándula tiroidea de forma indirecta mediante el estudio de la vascularización. Cada vez más autores proponen la ecografía Doppler tiroidea como primera herramienta para el diagnóstico diferencial de la tirotoxicosis. Hipótesis La ecografía Doppler tiroidea podría ser una técnica útil para establecer el diagnóstico de la Enfermedad de Graves-Basedow (EGB), planificar la dosis de antitiroideos de síntesis y establecer la probabilidad de recidiva tras finalizar el tratamiento médico. Objetivos principales Establecer el valor de la ecografía Doppler tiroidea …

Host-Guest Interactions of Sodiumsulfonatomethyleneresorcinarene and Quaternary Ammonium Halides : An Experimental-Computational Analysis of the Gues…

2020

The molecular recognition of nine quaternary alkyl- and aryl-ammonium halides (Bn) by two different receptors, Calkyl-tetrasodiumsulfonatomethyleneresorcinarene (An), were studied in solution using 1H NMR spectroscopy. Substitution of methylenesulfonate groups at 2-positions of resorcinol units resulted in an increase of cavity depth by ∼2.80 Å and a narrow cavity aperture compared to Calkyl-2-H-resorcinarenes. The effect of alkyl chain lengths on the endo-complexation, that is the ability to incorporate other than N-methyl chains inside the cavities, were investigated using ammonium cations of the type ⁺NH2(R1)(R2), (R1 = Me, Et, Bu, R2 = Bu, Ph, Bz ). The C−H⋯ interactions between guests …

Recognition of alkali metal halide contact ion pairs by uranyl-salophen receptors bearing aromatic sidearms. The role of cation-pi interactions.

2005

Hard anions have long been known to bind strongly to the uranium of uranyl-salophen complexes. Upon functionalization of the salophen framework with one or two benzyloxy substituents, efficient ditopic receptors for alkali metal ions are obtained. The solid-state structures of complexes formed by the two-armed receptor 1 with CsF and with the chlorides of K+, Rb+, and Cs+ reported here reveal the existence of dimeric supramolecular assemblies in which two receptor units assemble into capsules fully enclosing (MX)2 ion quartets. In addition to the strong coordinative binding of the anion to the uranyl center and to electrostatic cation-anion interactions, stabilizing interactions arise from …

Time Unification on Local Binary Patterns Three Orthogonal Planes for Facial Expression Recognition

2019

International audience; Machine learning has known a tremendous growth within the last years, and lately, thanks to that, some computer vision algorithms started to access what is difficult or even impossible to perceive by the human eye. While deep learning based computer vision algorithms have made themselves more and more present in the recent years, more classical feature extraction methods, such as the ones based on Local Binary Patterns (LBP), still present a non negligible interest, especially when dealing with small datasets. Furthermore, this operator has proven to be quite useful for facial emotions and human gestures recognition in general. Micro-Expression (ME) classification is…

WATCHING PEOPLE: ALGORITHMS TO STUDY HUMAN MOTION AND ACTIVITIES

2020

Nowadays human motion analysis is one of the most active research topics in Computer Vision and it is receiving an increasing attention from both the industrial and scientific communities. The growing interest in human motion analysis is motivated by the increasing number of promising applications, ranging from surveillance, human–computer interaction, virtual reality to healthcare, sports, computer games and video conferencing, just to name a few. The aim of this thesis is to give an overview of the various tasks involved in visual motion analysis of the human body and to present the issues and possible solutions related to it. In this thesis, visual motion analysis is categorized into thr…

Selective recognition of aromatic hydrocarbons by endo-functionalized molecular tubes via C/N-H⋅⋅⋅π interactions

2018

Molecular recognition of aromatic hydrocarbons by four endo-functionalized molecular tubes has been studied by 1H NMR spectroscopy, computational methods, and single crystal X-ray crystallography. The binding selectivity is rationalized by invoking shape complementarity and dipole alignment. The non-covalent interactions are proved to predominantly be C/N-H⋅⋅⋅π interactions. peerReviewed

Lähisuhdeväkivallan tunnistaminen ja ehkäisy edistävät hyvinvointia

2019

Populism as a pathological form of politics of recognition

2018

This article combines the neo-Hegelian theory of recognition with an analysis of social pathologies to show how the populist formulations of political goals in struggles for recognition are – despite their potential positive motivating force – socially pathological. The concept of recognition, combined with the idea of social pathologies, can thus be used to introduce normative considerations into the populism analysis. In this article it is argued that, although populism is useful in the sense that it aims to ameliorate real experienced lack of recognition through fostering political movements, it is also harmful. The simplified populist representations of collective identities are often g…

Recognition, Identity, and Difference

2021

This entry discusses three forms of politics of recognition: politics of universalism, affirmative identity politics, and deconstructive politics of difference. It examines the constitutive, causally formative, and normative role that recognition has for the relevant senses of universal standing, particular identity, and difference in these approaches. peerReviewed