Realistic crowd simulations are essential for immersive virtual environments, relying on both individual behaviors (microscopic dynamics) and overall crowd patterns (macroscopic characteristics). While recent data-driven methods like deep reinforceme...
Feb 18, 2026 · The former Ukrainian army general widely seen as the top political rival to President Volodymyr Zelenskyy has spoken publicly for the first time about a deep rift between the two men.
Fukaya categories are deep and rich invariants of symplectic manifolds which are notoriously difficult to compute explicitly. In the case of surfaces, however, the situation is simple, combinatorial,and is very well understood (at least by experts)....
Feb 18, 2026 · The former Ukrainian army general widely seen as the top political rival to President Volodymyr Zelenskyy has spoken publicly for the first time about a deep rift between the two men.
This strategic collaboration brings together Microsoft's cutting-edge technologies, Accenture's extensive global reach and consulting expertise, and Avanade's deep specialization in Microsoft-based solutions.
Holistic and deep knowledge organisation and exploration tool featuring interactive knowledge maps for intuitive discovery and comprehensive understanding (⭐ 1)
Deep convolutional neural networks (CNNs) have been widely applied for low-level vision over the past five years. According to nature of different applications, designing appropriate CNN architectures is developed. However, customized architectures g...
Machine learning techniques have outperformed numerous rule-based methods for decision-making in autonomous vehicles. Despite recent efforts, lane changing remains a major challenge, due to the complex driving scenarios and changeable social behavior...
Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020) (⭐ 2016)
In Cherry Tale, Little Red Riding Hood brandishes her sawblade and yells about cooking and eating the Big Bad Wolf. Snow White may look innocent and pure on the outside, but deep down she is a …
Deep neural networks are powerful tools for modelling non-linear patterns and are very effective when the input data is homogeneous such as images and texts. In recent years, there have been attempts to apply neural nets to heterogeneous data, such a...
Laplace approximations for Deep Learning. (⭐ 535)
Deep Learning has significantly impacted the application of data-to-decision throughout research and industry, however, they lack a rigorous mathematical foundation, which creates situations where algorithmic results fail to be practically invertible...
Watching cartoons can be useful for children's intellectual, social and emotional development. However, the most popular video sharing platform today provides many videos with Elsagate content. Elsagate is a phenomenon that depicts childhood characte...
He brought so much over- he had it all in his deep freezer, expecting us to eat all of it, so that it didn’t go to waste. He packed both of our freezers with all of this meat, knowing it was 12 ye...
This paper is an extension of our previous conference paper. In recent years, there has been a growing interest among researchers in developing and improving speech recognition systems to facilitate and enhance human-computer interaction. Today, Auto...
By means of the concept of balanced estimation of diffusion entropy we evaluate reliable scale-invariance embedded in different sleep stages and stride records. Segments corresponding to Wake, light sleep, REM, and deep sleep stages are extracted fro...
Role reversal is a psychotherapeutic technique in psychodrama that demonstrates a protagonist's intrapersonal conflicts deeply and explicitly on the stage
Jan 2, 2020 · From traditions with deep sacred, cultural roots in the island’s history, to parties pumping so hard you might seriously forget your name, and a street party like no other anywhere in the world, …
The generative learning phase of Autoencoder (AE) and its successor Denosing Autoencoder (DAE) enhances the flexibility of data stream method in exploiting unlabelled samples. Nonetheless, the feasibility of DAE for data stream analytic deserves in-d...