Dynamic Difficulty Adjustment (DDA) is a viable approach to enhance a
pl...
Numerous models have tried to effectively embed knowledge graphs in low
...
To overcome challenges in multiple object tracking task, recent algorith...
While many production-ready and robust algorithms are available for the ...
The acoustic and linguistic features of preschool speech are investigate...
Recently, link prediction problem, also known as knowledge graph complet...
Multimodal language analysis is a burgeoning field of NLP that aims to
s...
One of the main challenges in recommender systems is data sparsity which...
A viewing graph is a set of unknown camera poses, as the vertices, and t...
One of the most important problems in the field of pattern recognition i...
Triangulation refers to the problem of finding a 3D point from its 2D
pr...
There are partially separable data types that make classification tasks ...
Multiple object tracking is a challenging problem in computer vision due...
Robot Assisted Therapy is a new paradigm in many therapies such as the
t...
Ensemble learning methods are designed to benefit from multiple learning...
COVID-19 which has spread in Iran from February 19, 2020, has infected
2...
When the direct view between the target and the observer is not availabl...
Autism Spectrum Disorder (ASD) is an umbrella term for a wide range of
d...
Pose Graph Optimization (PGO) is an important non-convex optimization pr...