Search Results - subject:"Metric Learning"

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Exploring dual information in distance metric learning for clustering

Randel, Rodrigo; Aloise, Daniel; Hertz, Alain - 2021

Persistent link: https://www.econbiz.de/10012588027

Data analytics for creative processes : designing the next great product

Calmon, Andre P.; Calmon, Flavio P.; Goodwin, Richard; … - 2020

Persistent link: https://www.econbiz.de/10012164261

Trend prediction classification for high frequency Bitcoin time series with deep learning

Shintate, Takuya; Pichl, Lukáš - In: Journal of Risk and Financial Management 12 (2019) 1, pp. 1-15

We provide a trend prediction classification framework named the random sampling method (RSM) for cryptocurrency time series that are non-stationary. This framework is based on deep learning (DL). We compare the performance of our approach to two classical baseline methods in the case of the...

Persistent link: https://www.econbiz.de/10012611077

Trend prediction classification for high frequency Bitcoin time series with deep learning

Shintate, Takuya; Pichl, Lukáš - In: Journal of risk and financial management : JRFM 12 (2019) 1/17, pp. 1-15

Persistent link: https://www.econbiz.de/10011961485

Noise-robust sampling for collaborative metric learning

Matsui, Ryo; Yaginuma, Suguru; Naito, Taketo; Nakata, … - In: The review of socionetwork strategies 16 (2022) 2, pp. 307-332

Persistent link: https://www.econbiz.de/10013461743

Data pair selection for accurate classification based on information-theoretic metric learning

Maga, Takashi; Mikawa, Kenta; Goto, Masayuki - In: Asian journal of management science and applications : AJMSA 3 (2017/2018) 1, pp. 61-74

Persistent link: https://www.econbiz.de/10011742773

Visual Tracking with Multilevel Sparse Representation and Metric Learning

Chen, Baifan; Peng, Meng; Liu, Lijue; Lu, Tao - In: Journal of Information Technology Research (JITR) 11 (2018) 2, pp. 1-12

-timeness, stability, and diversity of object template. Additionally, metric learning is combined to evaluate the object candidates and …

Persistent link: https://www.econbiz.de/10012049156