In this paper, we propose a novel approach for action classification in soccer videos using a recurrent neural network scheme. Thereby, we extract from each video action at each timestep a set of features which describe both the visual content (by the mean of a BoW approach) and the dominant motion (with a key point based approach). A Long Short-Term Memory-based Recurrent Neural Network is the...

In this paper, we investigate key brain areas of men and women using electroencephalography (EEG) data on recognising three emotions, namely happy, sad and neutral. Considering that emotion changes over time, Long Short-Term Memory (LSTM) neural network is adopted with its capacity of capturing time dependency. Our experimental results indicate that the neural patterns of different emotions hav...

Systems for keyword and non-linguistic vocalization detection in conversational agent applications need to be robust with respect to background noise and different speaking styles. Focussing on the Sensitive Artificial Listener (SAL) scenario which involves spontaneous, emotionally colored speech, this paper proposes a multi-stream model that applies the principle of Long Short-Term Memory to g...

This work investigates the relationship between scene and associated objects on daily activities under egocentric vision constraints. Daily activities are performed in prototypical scenes that share a lot of visual appearances independent of where or by whom the video was recorded. The intrinsic characteristics of egocentric vision suggest that the location where the activity is conducted remai...

A key untapped feature of game-based learning environments is their capacity to generate a rich stream of fine-grained learning interaction data. The learning behaviors captured in these data provide a wealth of information on student learning, which stealth assessment can utilize to unobtrusively draw inferences about student knowledge to provide tailored problem-solving support. In this paper...

We investigate a new method to augment recurrent neural networks with extra memory without increasing the number of network parameters. The system has an associative memory based on complex-valued vectors and is closely related to Holographic Reduced Representations and Long Short-Term Memory networks. Holographic Reduced Representations have limited capacity: as they store more information, ea...

The transformation of the information stored in the working memory into the system of long-term memory depends on the physiological mechanism, long-term potential (LTP). In a large number of experimental studies, theta-burst stimulation (TBS) and high-frequency stimulation (HFS) are LTP induction protocols. However, they have not been adapted to the model related to memory. In this paper, the i...

this study identifies and compares the antecedent of nigerian students’ perception on business social responsibility. part of its objectives is to examine the perception of business students in terms of importance of business social responsibility with respect to profitability, and the effectiveness of social responsibility in both long and short terms. the study reviews the related literature ...

introduction: previous studies indicate that exercise influences cognitive function. nevertheless, considering that exercise in animal study can be voluntary, or forced, effects of exercise (specially forced exercise) on learning and memory abides as a matter of controversy. the present study aimed to investigate the effects of treadmill exercise on ltp in the dentate gyrus of rats. methods: th...