LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "shared features" as a keyword



Multi-view Multi-label Learning with Shared Features Inconsistency

Sign Up to like & get
recommendations! Published in 2024 at "Neural Processing Letters"

DOI: 10.1007/s11063-024-11528-w

Abstract: Multi-view multi-label (MVML) learning is a framework for solving the problem of associating a single instance with a set of class labels in the presence of multiple types of data features. The extraction of shared… read more here.

Keywords: multi label; view multi; shared features; multi view ... See more keywords

The (shared) features of fear: Toward the source of human fear responding.

Sign Up to like & get
recommendations! Published in 2021 at "Current opinion in psychology"

DOI: 10.1016/j.copsyc.2021.07.005

Abstract: Little is known about why people behave the way they do in threatening situations. Some theories invoke a transfer of responses from unconditioned stimuli (US) to conditioned stimuli (CS), but this principle goes astray because responses to… read more here.

Keywords: shared features; features fear; human fear; fear responding ... See more keywords

MAFLD vs. NAFLD: shared features and potential changes in epidemiology, pathophysiology, diagnosis, and pharmacotherapy

Sign Up to like & get
recommendations! Published in 2020 at "Chinese Medical Journal"

DOI: 10.1097/cm9.0000000000001263

Abstract: Abstract Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease worldwide, placing an increasing burden on human health. NAFLD is a complex multifactorial disease involving genetic, metabolic, and environmental factors. It is… read more here.

Keywords: diagnosis; potential changes; features potential; shared features ... See more keywords

Deeply Learned View-Invariant Features for Cross-View Action Recognition

Sign Up to like & get
recommendations! Published in 2017 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2017.2696786

Abstract: Classifying human actions from varied views is challenging due to huge data variations in different views. The key to this problem is to learn discriminative view-invariant features robust to view variations. In this paper, we… read more here.

Keywords: shared features; view; robust view; view invariant ... See more keywords