Miloš Radovanović – författare
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5 produkter
Similarity Search and Applications
12th International Conference, SISAP 2019, Newark, NJ, USA, October 2–4, 2019, Proceedings
Av Giuseppe Amato, Claudio Gennaro m. fl.
Häftad, 2019
746 kr
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This book constitutes the refereed proceedings of the 12th International Conference on Similarity Search and Applications, SISAP 2019, held in Newark, NJ, USA, in October 2019.The 12 full papers presented together with 18 short and 3 doctoral symposium papers were carefully reviewed and selected …
Similarity Search and Applications
12th International Conference, SISAP 2019, Newark, NJ, USA, October 2–4, 2019, Proceedings
Av Milos Radovanovic, Vincent Oria m. fl.
E-bok, 2019
975 kr
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This book constitutes the refereed proceedings of the 12th International Conference on Similarity Search and Applications, SISAP 2019, held in Newark, NJ, USA, in October 2019. The 12 full papers presented together with 18 short and 3 doctoral symposium papers were carefully reviewed and selected …
Recent Advances in Time-Series Classification—Methodology and Applications
Av Zoltán Gellér, Vladimir Kurbalija m. fl.
Inbunden, 2025
1747 kr
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This book examines the impact of such constraints on elastic time-series similarity measures and provides guidance on selecting suitable measures. Time-series classification frequently relies on selecting an appropriate similarity or distance measure to compare time series effectively, often using …
Recent Advances in Time-Series Classification-Methodology and Applications
Av Mirjana Ivanovic, Milos Radovanovic m. fl.
E-bok, 2025
2224 kr
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This book examines the impact of such constraints on elastic time-series similarity measures and provides guidance on selecting suitable measures. Time-series classification frequently relies on selecting an appropriate similarity or distance measure to compare time series effectively, often using …
Recent Advances in Time-Series Classification—Methodology and Applications
Av Zoltán Gellér, Vladimir Kurbalija m. fl.
Häftad, 2026
1747 kr
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This book examines the impact of such constraints on elastic time-series similarity measures and provides guidance on selecting suitable measures. Time-series classification frequently relies on selecting an appropriate similarity or distance measure to compare time series effectively, often using …