Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Kurokawa, Mori"'
Video question answering (VideoQA) is a task to predict the correct answer to questions posed about a given video. The system must comprehend spatial and temporal relationships among objects extracted from videos to perform causal and temporal reason
Externí odkaz:
http://arxiv.org/abs/2409.07747
Capturing complex hierarchical human activities, from atomic actions (e.g., picking up one present, moving to the sofa, unwrapping the present) to contextual events (e.g., celebrating Christmas) is crucial for achieving high-performance video questio
Externí odkaz:
http://arxiv.org/abs/2409.07748
In this paper, we propose QWalkVec, a quantum walk-based node embedding method. A quantum walk is a quantum version of a random walk that demonstrates a faster propagation than a random walk on a graph. We focus on the fact that the effect of the dep
Externí odkaz:
http://arxiv.org/abs/2408.08534
Existing research on task incremental learning in continual learning has primarily focused on preventing catastrophic forgetting (CF). Although several techniques have achieved learning with no CF, they attain it by letting each task monopolize a sub
Externí odkaz:
http://arxiv.org/abs/2306.14775
Autor:
Li, Zhi, Amagata, Daichi, Zhang, Yihong, Hara, Takahiro, Haruta, Shuichiro, Yonekawa, Kei, Kurokawa, Mori
Deep learning-based recommender systems may lead to over-fitting when lacking training interaction data. This over-fitting significantly degrades recommendation performances. To address this data sparsity problem, cross-domain recommender systems (CD
Externí odkaz:
http://arxiv.org/abs/2211.03390
Autor:
Li, Zhi, Amagata, Daichi, Zhang, Yihong, Maekawa, Takuya, Hara, Takahiro, Yonekawa, Kei, Kurokawa, Mori
Publikováno v:
In Knowledge-Based Systems 14 November 2022 255
Autor:
Kanasugi, Hiroshi, Sekimoto, Yoshihide, Kurokawa, Mori, Watanabe, Takafumi, Muramatsu, Shigeki, Shibasaki, Ryosuke
Publikováno v:
2013 IEEE International Conference on Pervasive Computing & Communications Workshops (PERCOM Workshops); 2013, p267-272, 6p
Publikováno v:
Advances in Machine Learning; 2009, p191-205, 15p
Autor:
Carbonell, Jaime G., Siekmann, Jörg, Conati, Cristina, McCoy, Kathleen, Paliouras, Georgios, Ono, Chihiro, Kurokawa, Mori, Motomura, Yoichi, Asoh, Hideki
Publikováno v:
User Modeling 2007; 2007, p247-257, 11p