Iskalni niz:
išči po
išči po
išči po
išči po
Vrsta gradiva:
Jezik:
Št. zadetkov: 29
Nematic colloidal micro-robots as physically intelligent systems
Tianyi Yao, Žiga Kos, Qi Xing Zhang, Yimin Luo, Francesca Serra, Edward B. Steager, Miha Ravnik, Kathleen J. Stebe
Izvirni znanstveni članek
Oznake: aktivna mehka snov;nematski koloidi;mikro roboti;nelinearna dinamika;topologija;active soft materials;nematic colloids;micro-robots;nonlinear dynamics;topology;
Physically intelligent micro-robotic systems exploit information embedded in micro-robots, their colloidal cargo, and their milieu to interact, assemble, and form functional structures. Nonlinear anisotropic fluids such as nematic liquid crystals (NLCs) provide untapped opportunities to embed intera ...
Leto: 2022 Vir: Fakulteta za matematiko in fiziko (UL FMF)
Bridged Refinement for Transfer Learning
Dikan Xing
Video in druga učna gradiva
Oznake: computer science;machine learning;transfer learning
Leto: 2007 Vir: videolectures.net
Retrospective Change-point Approaches and Sequential Modelling
Haipeng Xing
Video in druga učna gradiva
Oznake:
We propose for the analysis of array-CGH data, a new stochastic segmentation model and an associated estimation procedure that has attractive statistical and computational properties. An important benefit of this Bayesian segmentation model is that it yields explicit formulas for posterior means, wh ...
Leto: 2009 Vir: videolectures.net
Zhishi.me - Weaving Chinese Linking Open Data
Xing Niu
Video in druga učna gradiva
Oznake:
Linking Open Data (LOD) has become one of the most important community efforts to publish high-quality interconnected semantic data. Such data has been widely used in many applications to provide intelligent services like entity search, personalized recommendation and so on. While DBpedia, one of th ...
Leto: 2011 Vir: videolectures.net
GeoMF: Joint Geographical Modeling and Matrix Factorization for Point-of-Interest Recommendation
Xing Xie
Video in druga učna gradiva
Oznake: computer science;data mining;knowledge extraction
Point-of-Interest (POI) recommendation has become an important means to help people discover attractive locations. However, extreme sparsity of user-POI matrices creates a severe challenge. To cope with this challenge, viewing mobility records on location-based social networks (LBSNs) as implicit fe ...
Leto: 2014 Vir: videolectures.net
Robust Facial Landmark Detection via Recurrent Attentive-Refinement Networks
Junliang Xing
Video in druga učna gradiva
Oznake: computer science;computer vision
In this work, we introduce a novel Recurrent Attentive-Refinement (RAR) network for facial landmark detection under unconstrained conditions, suffering from challenges like facial occlusions and/or pose variations. RAR follows the pipeline of cascaded regressions that refines landmark locations prog ...
Leto: 2016 Vir: videolectures.net
Quantitative assessment of bone marrow infiltration and characterization of tumor burden using dual-layer spectral CT in patients with multiple myeloma
Xing Xiong
Izvirni znanstveni članek
Oznake:
Leto: 2024 Vir: Digitalni repozitorij raziskovalnih organizacij Slovenije
Correlation of laminin subunit alpha 3 expression in pancreatic ductal adenocarcinoma with tumor liver metastasis and survival
Yueyi Xing
Izvirni znanstveni članek
Oznake:
Leto: 2024 Vir: Digitalni repozitorij raziskovalnih organizacij Slovenije
Some Challenging Machine Learning Problems in Computational Biology: Time-Varying Networks Inference and Sparse Structured Input-Out Learning
Eric P. Xing
Video in druga učna gradiva
Oznake: computer science;machine learning;biology;genetics
Recent advances in high-throughput technologies such as microarrays and genome-wide sequencing have led to an avalanche of new biological data that are dynamic, noisy, heterogeneous, and high-dimensional. They have raised unprecedented challenges in machine learning and high-dimensional statistical ...
Leto: 2008 Vir: videolectures.net
Dynamic Non-Parametric Mixture Models and The Recurrent Chinese Restaurant Process
Eric P. Xing
Video in druga učna gradiva
Oznake: computer science;machine learning;bayesian learning;dirichlet processes
Dirichlet process mixture models provide a °exible Bayesian framework for estimating a distribution as an in¯nite mixture of simpler distributions that could identify latent classes in the data [1]. However the full exchangeability assumption they employ makes them an unappealing choice for mod ...
Leto: 2008 Vir: videolectures.net
Št. zadetkov: 29
Ključne besede:
Leto izdaje:
Avtorji:
Repozitorij:
Tipologija:
Jezik: