Results 51 to 60 of about 329,565 (120)

Score Images as a Modality: Enhancing Symbolic Music Understanding through Large-Scale Multimodal Pre-Training

Sensors
Symbolic music understanding is a critical challenge in artificial intelligence. While traditional symbolic music representations like MIDI capture essential musical elements, they often lack the nuanced expression in music scores.
Yang Qin, Huiming Xie, Shuxue Ding, Yujie Li, Benying Tan, Mingchuan Ye   +5 more
doaj   +1 more source

Sequential Recommendation Based on Multi-space Attribute Information Fusion [PDF]

Jisuanji kexue
The goal of sequential recommendation is to model users' dynamic interests from their historical behaviors,and hence to make recommendations related to the users' interests.Recently,attribute information has been demonstrated to improve the performance ...
WANG Zihong, SHAO Yingxia, HE Jiyuan, LIU Jinbao
doaj   +1 more source

Algorithms for media

Discrete Applied Mathematics, 2008
12 ...
David Eppstein, Jean-Claude Falmagne
openaire   +2 more sources

An Early Warning Method of College Students’ Psychological Crisis Based on Emotion Recognition

Journal of Electrical and Computer Engineering
In order to realize rapid and accurate early warning of college students’ psychological crisis, an improved emotion recognition method based on the YOLOv8 model is proposed.
Haifeng Qian, Sai Che, Wenhe Chen
doaj   +1 more source

SDE-based software reliability additive models with masked data using ELS algorithm

Journal of King Saud University: Computer and Information Sciences
The growing complexity of contemporary software systems, with multiple sub-modules, demands innovative modeling approaches, especially in addressing intricate failures and masked data generation.
Jianfeng Yang, Ming Ding, Menglan He, Zhoutao Zheng, Nan Yang   +4 more
doaj   +1 more source

Learning Contour-Based Mid-Level Representation for Shape Classification

IEEE Access, 2020
This article proposes a novel contour-based mid-level shape description method for shape classification. This method resolves the shortcomings of low-level shape descriptors in dealing with the shapes of objects with large intra-class changes and non ...
Chengzhuan Yang, Lincong Fang, Hui Wei
doaj   +1 more source

Algorithmic Collusion is Algorithm Orchestration

CoRR
We propose a fresh `meta-game' perspective on the problem of algorithmic collusion in pricing games a la Bertrand. Economists have interpreted the fact that algorithms can learn to price collusively as tacit collusion. We argue instead that the co-parametrization of algorithms, in ways as are necessary to obtain algorithmic collusion, typically ...
Cesare Carissimo, Fryderyk Falniowski, Siavash Rahimi, Heinrich Nax   +3 more
openaire   +2 more sources

The CONEstrip Algorithm [PDF]

, 2013
Uncertainty models such as sets of desirable gambles and (conditional) lower previsions can be represented as convex cones. Checking the consistency of and drawing inferences from such models requires solving feasibility and optimization problems. We consider finitely generated such models.
openaire   +2 more sources

Nonlocal spatial attention module for image classification

International Journal of Advanced Robotic Systems, 2020
To enhance the capability of neural networks, research on attention mechanism have been deepened. In this area, attention modules make forward inference along channel dimension and spatial dimension sequentially, parallelly, or simultaneously.
Bingling Chen, Yan Huang, Qiaoqiao Xia, Qinglin Zhang   +3 more
doaj   +1 more source

Accelerating the transition to cobalt-free batteries: a hybrid model for LiFePO4/graphite chemistry

npj Computational Materials
The increased adoption of lithium-iron-phosphate batteries, in response to the need to reduce the battery manufacturing process’s dependence on scarce minerals and create a resilient and ethical supply chain, comes with many challenges.
Gabriele Pozzato, Xueyan Li, Donghoon Lee, Johan Ko, Simona Onori   +4 more
doaj   +1 more source