Results 111 to 120 of about 26,484 (294)

Nonlinear Dimensionality Reduction and Feature Selection

, 2011
Machine learning methods are used to build models for classification and regression tasks, among others. Models are built on the basis of information contained in a set of samples, with few or no information about the underlying process.
12th EANN / 7th AIAI Joint Conference 2011, Verleysen, Michel   +1 more
core  

Multi-Modal Learning With Generalizable Nonlinear Dimensionality Reduction

, 2019
In practical machine learning settings, there often exist relations or links between data from different modalities. The goal of multimodal learning algorithms is to efficiently use the information available in different modalities to solve multi-modal ...
Semih Kaya, Vural, Elif, Elif Vural, KAYA, SEMİH   +3 more
core   +1 more source

Backbone‐Controlled Ion‐Side Chain Accessibility in Conjugated Polymers for Organic Electrochemical Synaptic Transistors

Advanced Functional Materials, EarlyView.
Backbone modulation in glycolated conjugated polymers governs ion accessibility to side chains, strengthes anion adsorption, and suppresses back‐diffusion. As the number of thiophene units increases, structural reorganization, retention, and synaptic plasticity are enhanced, leading to improved neuromorphic performance in electrolyte‐gated organic ...
Junho Sung, Sein Chung, Byeongjun Jeon, Donghwa Lee, Myungjin An, Jiyeong Shin, Yoohyeon Jang, Donghoo Won, Changduk Yang, Bumjoon Seo, Eunho Lee   +10 more
wiley   +1 more source

Exploring the Potential of Variational Autoencoders for Modeling Nonlinear Relationships in Psychological Data

Behavioral Sciences
Latent variables analysis is an important part of psychometric research. In this context, factor analysis and other related techniques have been widely applied for the investigation of the internal structure of psychometric tests.
Nicola Milano, Monica Casella, Raffaella Esposito, Davide Marocco   +3 more
doaj   +1 more source

Using Nonlinear Dimensionality Reduction in 3D Figure Animation ABSTRACT

, 2008
This paper explores a method for re-sequencing an existing set of animation, specifically motion capture data, to generate new motion. Re-using animation is helpful in designing virtual environments and creating video games for reasons of cost and ...
A. Elizabeth Seward, Bobby Bodenheimer
core  

Unsupervised shape clustering using diffusion map [PDF]

, 2008
The quotient space of all smooth and connected curves represented by a fixed number of boundary points is a finite-dimensional Riemannian manifold, also known as a shape manifold.
Rajpoot, Nasir M. (Nasir Mahmood), Arif, Muhammad   +1 more
core  

Invisible Polymer Walls Enhance Reorientational Optical Nonlinearity in Oligothiophene‐Doped Liquid Crystals

Advanced Functional Materials, EarlyView.
The polymer wall stabilized dye‐doped liquid crystals (PWLCs) enhance the sensitivity of photoinduced molecular reorientation in dye‐doped LC systems. The PWLC with an invisible polymer wall successfully reduces the threshold intensity and functions as an optical limiter under the incidence of low intensity light laser source.
Junki Yokota, Yuya Nakata, Erika Katayama, Miho Aizawa, Kyohei Hisano, Shoichi Kubo, Atsushi Shishido   +6 more
wiley   +1 more source

Nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization

, 2005
We describe an algorithm for nonlinear dimensionality reduction based on semidefinite programming and kernel matrix ...
Benjamin D. Packer, Lawrence K. Saul, Kilian Q. Weinberger   +2 more
core  

A visualization metric for dimensionality reduction

, 2011
Data visualization of high-dimensional data is possible through the use of dimensionality reduction techniques. However, in deciding which dimensionality reduction techniques to use in practice, quantitative metrics are necessary for evaluating the ...
Tsai, Flora S., Flora S. Tsai
core   +1 more source

Multimodal Perception and Machine Learning‐Empowered Human Machine Interfaces With Double‐Network Hydrogel Fibers

Advanced Functional Materials, EarlyView.
This work develops polyacrylamide‐alginate (PAM‐Alg) double‐network hydrogel fibers for multimodal perception and intelligent human‐machine interfaces. The covalent‐ionic network provides high strength, toughness, and stable conductivity. Easily woven into wearables and integrated with soft robots, the fibers enable object and temperature recognitions ...
Yujue Yang, Minyu Qiu, Di Tan, Xinlong Liu, Junze Zhang, Ziyu He, Jing Han, Yuanyuan Gao, Zihua Li, Hong Fu, Bingang Xu   +10 more
wiley   +1 more source