Results 161 to 170 of about 6,752,036 (307)
An augmented Lagrangian multi-scale dictionary learning algorithm
Learning overcomplete dictionaries for sparse signal representation has become a hot topic fascinated by many researchers in the recent years, while most of the existing approaches have a serious problem that they always lead to local minima.
Ye Meng +4 more
doaj
A unified online dictionary learning framwork with label information for robust object tracking
In this paper, a supervised approach to online learn a structured sparse and discriminative representation for object tracking is presented. Label information from training data is incorporated into the dictionary learning process to construct a robust ...
Fan BJ(范保杰) +3 more
core
ABSTRACT Corporate environmental communication has become an essential aspect of modern business practices, as stakeholders increasingly demand transparency and accountability regarding sustainability efforts. Within this context, we examine whether firms use environmental communication on X/Twitter to offset weaker relative environmental performance ...
Ivan Russo +3 more
wiley +1 more source
Explainable Multimodal Deep Dictionary Learning to Capture Developmental Differences From Three fMRI Paradigms. [PDF]
Yang L +6 more
europepmc +1 more source
CEO Managerial Ability and the Strategic Repetition of Climate Disclosures
ABSTRACT This study examines whether CEO managerial ability shapes the repetition of firms' climate‐related disclosures in mandatory 10‐K filings. Climate reporting is highly judgment based and central to firms' broader climate‐risk management strategies, yet little is known about why some firms repeatedly use similar climate narratives and others ...
Javad Rajabalizadeh
wiley +1 more source
A novel subject-wise dictionary learning approach using multi-subject fMRI spatial and temporal components. [PDF]
Khalid MU, Nauman MM.
europepmc +1 more source
ABSTRACT Social media platforms today have become essential for consumer‐brand interactions, with visual content playing a pivotal role in shaping engagement and brand perception. Although text‐based user‐generated content (UGC) has been widely studied, the potential of visual UGC, particularly in the travel, tourism and hospitality (TTH) sector ...
Chinchu Abraham +2 more
wiley +1 more source
Deep learning-based transfer learning has been widely used in spectral super-resolution, which can transfer the general spectral mapping relationship learned from a pair of multispectral (MS) and hyperspectral (HS) images to other similar-scene MS images,
Xiaolin Han +5 more
doaj +1 more source
Enhancing the network specific individual characteristics in rs-fMRI functional connectivity by dictionary learning. [PDF]
Jain P +4 more
europepmc +1 more source
Discriminative dictionary pair learning from partially labeled data
While conventional synthesis dictionary learning approaches have demonstrated tremendous success in various pattern recognition problems, the dictionary pair learning, i.e., jointly learning an analysis dictionary and a synthesis dictionary is still an ...
Rong, Yi +5 more
core +1 more source

