arrogant 发表于 2025-3-26 21:38:43
http://reply.papertrans.cn/47/4616/461502/461502_31.pngagonist 发表于 2025-3-27 01:18:36
http://reply.papertrans.cn/47/4616/461502/461502_32.pngMEEK 发表于 2025-3-27 08:30:15
An Adaptive Block-Based Histogram Packing for Improving the Compression Performance of JPEG-LS for IPEG-LS provides an efficient lossless compression at a reasonable complexity. However, its efficiency is severely affected when encoding images or blocks containing only a subset of the possible values from the nominal alphabet. The aim of this work is to improve the compression performance of JPEG-不舒服 发表于 2025-3-27 09:58:13
http://reply.papertrans.cn/47/4616/461502/461502_34.pngAcclaim 发表于 2025-3-27 14:46:13
http://reply.papertrans.cn/47/4616/461502/461502_35.pngunstable-angina 发表于 2025-3-27 21:38:08
http://reply.papertrans.cn/47/4616/461502/461502_36.png稀释前 发表于 2025-3-27 22:40:50
Separability Index-Based Feature Selection and a Two-Tier Classifier for Improving Diagnostic Perforgh EPS-based methods are effective for constant operating conditions, it makes difficult to detect a fault when the machine operates at variable shaft speeds. To address this issue, we propose a method that performs as follows: (a) a feature extraction technique is used to extract as many informatioSHRIK 发表于 2025-3-28 02:22:54
Number of Useful Components in Gaussian Mixture Models for Patch-Based Image Denoisinginent Gaussian component is usually selected to recover a noisy image patch, which leads to computationally efficient implementations. We attempt to justify this on several image datasets by evaluating the number of Gaussian components required for recovering patches. We show that even patches withoOTTER 发表于 2025-3-28 09:58:03
http://reply.papertrans.cn/47/4616/461502/461502_39.pngARENA 发表于 2025-3-28 12:38:34
Review: Automatic Image Annotation for Semantic Image Retrievalms grows as well. Automatic image annotation was adopted by several research as the emerging trend in image retrieval area. Actually, it is considered as the best solution that combines the content-based techniques by using low-level image features and text-based techniques exploiting textual annota