E-LIB Suche - Ergebnisse für: Sakai, Tomoya

1

Application of the sliding window method and Mask-RCNN meth..:

Mitate, Eiji ; Inoue, Kirin ; Sato, Retsushi...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344779/. , 2022

Link: http://www.ncbi.nlm.nih...

2

Application of the sliding window method and Mask-RCNN meth..:

Mitate Eiji ; Inoue Kirin ; Sato Retsushi...
10.1186/s13000-022-01245-0. , 2022

Link: http://hdl.handle.net/10..

3

Predictive Optimization with Zero-Shot Domain Adaptation:

Sakai, Tomoya ; Ohsaka, Naoto
http://arxiv.org/abs/2101.06233. , 2021

Link: http://arxiv.org/abs/210..

4

Unsupervised Deep Learning by Injecting Low-Rank and Sparse..:

Sakai, Tomoya
http://arxiv.org/abs/2106.10923. , 2021

Link: http://arxiv.org/abs/210..

5

Regret Minimization for Causal Inference on Large Treatment..:

Tanimoto, Akira ; Sakai, Tomoya ; Takenouchi, Takashi.
http://arxiv.org/abs/2006.05616. , 2020

Link: http://arxiv.org/abs/200..

6

Do We Need Zero Training Loss After Achieving Zero Training..:

Ishida, Takashi ; Yamane, Ikko ; Sakai, Tomoya..
http://arxiv.org/abs/2002.08709. , 2020

Link: http://arxiv.org/abs/200..

7

Robust modal regression with direct log-density derivative ..:

Sasaki, Hiroaki ; Sakai, Tomoya ; Kanamori, Takafumi
http://arxiv.org/abs/1910.08280. , 2019

Link: http://arxiv.org/abs/191..

8

Binary Matrix Completion Using Unobserved Entries:

Hayashi, Masayoshi ; Sakai, Tomoya ; Sugiyama, Masashi
http://arxiv.org/abs/1803.04663. , 2018

Link: http://arxiv.org/abs/180..

9

Convex Formulation of Multiple Instance Learning from Posit..:

Bao, Han ; Sakai, Tomoya ; Sato, Issei.
http://arxiv.org/abs/1704.06767. , 2017

Link: http://arxiv.org/abs/170..

10

Semi-Supervised AUC Optimization based on Positive-Unlabele..:

Sakai, Tomoya ; Niu, Gang ; Sugiyama, Masashi
http://arxiv.org/abs/1705.01708. , 2017

Link: http://arxiv.org/abs/170..

11

Information-Theoretic Representation Learning for Positive-..:

Sakai, Tomoya ; Niu, Gang ; Sugiyama, Masashi
http://arxiv.org/abs/1710.05359. , 2017

Link: http://arxiv.org/abs/171..

12

Theoretical Comparisons of Positive-Unlabeled Learning agai..:

Niu, Gang ; Plessis, Marthinus Christoffel du ; Sakai, Tomoya..
http://arxiv.org/abs/1603.03130. , 2016

Link: http://arxiv.org/abs/160..

13

Semi-Supervised Classification Based on Classification from..:

Sakai, Tomoya ; Plessis, Marthinus Christoffel du ; Niu, Gang.
http://arxiv.org/abs/1605.06955. , 2016

Link: http://arxiv.org/abs/160..

14

Multiple pattern classification by sparse subspace decompos..:

Sakai, Tomoya
http://arxiv.org/abs/0907.5321. , 2009

Link: http://arxiv.org/abs/090..

15

Effect of friction properties of TiN and CrN coated tool ed..:

Takeru SATO ; Tsunehisa SUZUKI ; Tatsuya FUJII...
https://www.jstage.jst.go.jp/article/transjsme/89/928/89_23-00161/_pdf/-char/en. , 2023

Link: https://doi.org/10.1299/..