Zobrazeno 1 - 10
of 20 120
pro vyhledávání: '"Hosoya A"'
Detecting objects occupying only small areas in an image is difficult, even for humans. Therefore, annotating small-size object instances is hard and thus costly. This study questions common sense by asking the following: is annotating small-size ins
Externí odkaz:
http://arxiv.org/abs/2412.05611
Open-vocabulary object detection (OVD), detecting specific classes of objects using only their linguistic descriptions (e.g., class names) without any image samples, has garnered significant attention. However, in real-world applications, the target
Externí odkaz:
http://arxiv.org/abs/2410.15315
Publikováno v:
Pattern Recognition Letters, 2024, 185, pp.225-231
Training a large set of machine learning algorithms to convergence in order to select the best-performing algorithm for a dataset is computationally wasteful. Moreover, in a budget-limited scenario, it is crucial to carefully select an algorithm cand
Externí odkaz:
http://arxiv.org/abs/2410.07696
Autor:
Sato, Tomoya, Nishimura, Naoki, Kaku, Naoki, Otabe, Sotatsu, Kawasaki, Takuya, Hosoya, Toshiyuki, Kozuma, Mikio
Atom interferometer-based gyroscopes are expected to have a wide range of applications due to their high sensitivity. However, their dynamic range is limited by dephasing caused by velocity-dependent Sagnac phase shift in combination with the velocit
Externí odkaz:
http://arxiv.org/abs/2407.05696
Autor:
Couto, Paulo Henrique, Ho, Quang Phuoc, Kumari, Nageeta, Rachmat, Benedictus Kent, Khuong, Thanh Gia Hieu, Ullah, Ihsan, Sun-Hosoya, Lisheng
Publikováno v:
Conf{\'e}rence sur l'Apprentissage Automatique 2024, Jul 2024, Lille, France
Recent advancements in Artificial Intelligence (AI), particularly the widespread adoption of Large Language Models (LLMs), have significantly enhanced text analysis capabilities. This technological evolution offers considerable promise for automating
Externí odkaz:
http://arxiv.org/abs/2406.10294
Autor:
Triantafillou, Eleni, Kairouz, Peter, Pedregosa, Fabian, Hayes, Jamie, Kurmanji, Meghdad, Zhao, Kairan, Dumoulin, Vincent, Junior, Julio Jacques, Mitliagkas, Ioannis, Wan, Jun, Hosoya, Lisheng Sun, Escalera, Sergio, Dziugaite, Gintare Karolina, Triantafillou, Peter, Guyon, Isabelle
We present the findings of the first NeurIPS competition on unlearning, which sought to stimulate the development of novel algorithms and initiate discussions on formal and robust evaluation methodologies. The competition was highly successful: nearl
Externí odkaz:
http://arxiv.org/abs/2406.09073
Autor:
Hosoya, Yuhki
We consider a class of economic growth models that includes the classical Ramsey--Cass--Koopmans capital accumulation model and verify that, under several assumptions, the value function of the model is the unique viscosity solution to the Hamilton--
Externí odkaz:
http://arxiv.org/abs/2405.16643
Autor:
Hosoya, Yuhki
To study the assumption that the utility maximization hypothesis implicitly adds to consumer theory, we consider a mathematical representation of pre-marginal revolution consumer theory based on subjective exchange ratios. We introduce two axioms on
Externí odkaz:
http://arxiv.org/abs/2404.10931
Autor:
Hosoya, Akio, Fujii, Shunsuke
We revisit the old problem of the energy-momentum tensor in general relativistic field theories. On the basis of the general covariance we derive a simple equation for the Hilbert and Noether energy-momentum tensors for the scalar and electromagnetic
Externí odkaz:
http://arxiv.org/abs/2403.17457
Publikováno v:
International Journal of Fruit Science, Vol 24, Iss 1, Pp 166-173 (2024)
Fruits from five wild edible berries that grow in the eastern region of Shizuoka (Japan) were collected, and their antioxidant activities were evaluated using the ORAC, DPPH, FRAP, and ABTS assays to obtain basic scientific knowledge of these species
Externí odkaz:
https://doaj.org/article/25f5275380cd4a169658d31442ac5bcc
