秘密会议 发表于 2025-3-30 08:24:58
-gram Cache Performance in Statistical Extraction of Relevant Terms in Large t. We show how a theoretical model identifies the distribution properties of the distinct .-grams and singletons appearing in large . and how this knowledge contributes to understanding the performance of an .-gram cache system used for extraction of relevant terms. We show how this approach allowed织布机 发表于 2025-3-30 14:46:45
http://reply.papertrans.cn/24/2331/233083/233083_52.png过分自信 发表于 2025-3-30 18:38:50
http://reply.papertrans.cn/24/2331/233083/233083_53.pngGenerosity 发表于 2025-3-30 23:11:04
http://reply.papertrans.cn/24/2331/233083/233083_54.png决定性 发表于 2025-3-31 03:35:06
http://reply.papertrans.cn/24/2331/233083/233083_55.pngCleave 发表于 2025-3-31 07:49:08
DunDi: Improving Robustness of Neural Networks Using Distance Metric Learningo misprediction of the DNN, even it is imperceptible to humans. This defect makes the DNN lack of robustness to malicious perturbations, and thus limits their usage in many safety-critical systems. To this end, we present DunDi, a metric learning based classification model, to provide the ability toSubdue 发表于 2025-3-31 11:31:21
Autism Screening Using Deep Embedding Representation can improve treatment and significantly decrease associated healthcare cost, which reveals an urgent need for the development of ASD screening. However, the data used for ASD screening is heterogenous and multi-source, resulting in existing screening tools for ASD screening are expensive, time-inte杀虫剂 发表于 2025-3-31 13:48:35
http://reply.papertrans.cn/24/2331/233083/233083_58.png敌意 发表于 2025-3-31 20:23:06
Fast and Scalable Outlier Detection with Metric Access Methods real application. With that in mind, this paper describes an empirical study performed on . using 8 algorithms from the state-of-the-art and 8 datasets that refer to a variety of real-world tasks of high impact, like spotting cyberattacks, clinical pathologies and abnormalities in nature. We presen壮观的游行 发表于 2025-3-31 22:33:31
http://reply.papertrans.cn/24/2331/233083/233083_60.png