Results 271 to 280 of about 566,122 (335)
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International Journal of Dermatology, 2008
A healthy 62‐year‐old woman was referred to our dermatology department with a 1‐month history of a pruritic axillary eruption. On examination, multiple erythematous and brownish hyperkeratotic papules were seen in both axillae. Some of these lesions coalesced into plaques, with small areas of sparing, and a background erythematous color was also found ...
José M, Martín +5 more
openaire +2 more sources
A healthy 62‐year‐old woman was referred to our dermatology department with a 1‐month history of a pruritic axillary eruption. On examination, multiple erythematous and brownish hyperkeratotic papules were seen in both axillae. Some of these lesions coalesced into plaques, with small areas of sparing, and a background erythematous color was also found ...
José M, Martín +5 more
openaire +2 more sources
IEEE transactions on intelligent transportation systems (Print), 2022
Fatigue driving is one of the main causes of traffic accidents. For real-world driver fatigue detection, the large pose deformations exhibited by the captured global face significantly increase the difficulty of extracting effective features. Furthermore,
Rui Huang +4 more
semanticscholar +1 more source
Fatigue driving is one of the main causes of traffic accidents. For real-world driver fatigue detection, the large pose deformations exhibited by the captured global face significantly increase the difficulty of extracting effective features. Furthermore,
Rui Huang +4 more
semanticscholar +1 more source
Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction
The Web Conference, 2022Time-series prediction is of high practical value in a wide range of applications such as econometrics and meteorology, where the data are commonly formed by temporal patterns.
Min Hou +6 more
semanticscholar +1 more source
Granular transport in driven granular gas
The European Physical Journal E, 2015We numerically and theoretically investigate the behavior of a granular gas driven by asymmetric plates. The injection of energy in the dissipative system differs from one side to the opposite one. We prove that the dynamical clustering which is expected for such a system is affected by the asymmetry. As a consequence, the cluster position can be fully
Noirhomme, Martial +3 more
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NN-Baton: DNN Workload Orchestration and Chiplet Granularity Exploration for Multichip Accelerators
International Symposium on Computer Architecture, 2021The revolution of machine learning poses an unprecedented demand for computation resources, urging more transistors on a single monolithic chip, which is not sustainable in the Post-Moore era.
Zhanhong Tan +3 more
semanticscholar +1 more source
Annual Meeting of the Association for Computational Linguistics
In this paper, we introduce a new embedding model called M3-Embedding, which is distinguished for its versatility in \textit{Multi-Linguality}, \textit{Multi-Functionality}, and \textit{Multi-Granularity}.
Jianlv Chen +5 more
semanticscholar +1 more source
In this paper, we introduce a new embedding model called M3-Embedding, which is distinguished for its versatility in \textit{Multi-Linguality}, \textit{Multi-Functionality}, and \textit{Multi-Granularity}.
Jianlv Chen +5 more
semanticscholar +1 more source
SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation
arXiv.orgThe rapid evolution of multimodal foundation model has demonstrated significant progresses in vision-language understanding and generation, e.g., our previous work SEED-LLaMA.
Yuying Ge +8 more
semanticscholar +1 more source
2006
We augment a linear regression procedure by a thruth-functional method in order to identify a highly informative regression line. The idea is to use statistical methods to identify a confidence region for the line and exploit the structure of the sample data falling in this region for identifying the most fitting line.
B. Apolloni +3 more
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We augment a linear regression procedure by a thruth-functional method in order to identify a highly informative regression line. The idea is to use statistical methods to identify a confidence region for the line and exploit the structure of the sample data falling in this region for identifying the most fitting line.
B. Apolloni +3 more
openaire +1 more source
Granular resolution and granular reasoning
2009 IEEE International Conference on Granular Computing, 2009Granular resolution and granular reasoning are important research results on granular computing. The relationship between them is an interesting topic, which is studied in this paper. The investigations show that a G-resovlent sequence, the representation of granular resolution, is a sufficient condition for granular reasoning.
Lin Yan, Qing Liu
openaire +1 more source
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
Neural Information Processing SystemsMedical time series (MedTS) data, such as Electroencephalography (EEG) and Electrocardiography (ECG), play a crucial role in healthcare, such as diagnosing brain and heart diseases.
Yihe Wang +4 more
semanticscholar +1 more source

