Št. zadetkov: 24
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)
Video in druga učna gradiva
Oznake:
computer science;machine learning;transfer learning
Leto:
2007
Vir:
videolectures.net
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
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
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
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
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
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
Video in druga učna gradiva
Oznake:
computer science;text mining;image analysis;machine learning;graphical models
Leto:
2006
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;interviews
Statistical machine learning theory and applications in computational biology are the **fields of interest of Eric Xing**. We asked him at this interview at Carnegie Mellon University what actually is statistical machine learning theory, where can solutions of this research be applied and if **being ...
Leto:
2006
Vir:
videolectures.net