A comprehensive two-stage person re-identification pipeline integrating YOLO person detection, TAO-trained ReID models (via Triton Inference Server), and BoxMOT tracking with full experimental logging ...

Multivariate statistical inference encompasses methods that evaluate multiple outcomes or parameters jointly, allowing researchers to understand complex interdependencies within data. Permutation ...

How to perform Wide Expert Parallelism (Wide EP) inference testing for Qwen3-235B-A22B-FP8 on 8 GPUs using TensorRT LLM? Hello everyone, first of all, I would like to express sincere gratitude to the ...

Research has shown that testing enhances memory. However, less is known on whether testing can improve a person's ability to make inferences. A new study by the Human Memory and Cognition Lab at the ...

We find the asymptotic distribution of the multi-dimensional multi-scale and kernel estimators for high-frequency financial data with microstructure. Sampling times are allowed to be asynchronous and ...

Hao AI Lab, led by Professor Hao Zhang, an AI researcher at the University of California, San Diego, has released the results of testing the inference capabilities of AI models such as OpenAI-o1, ...

This is a preview. Log in through your library . Abstract The integrals involved in Bayesian inference have long served as an impediment to the wider application of these techniques in the analysis of ...