论文阅读——Efficient and Robust Feature Selection via Joint L2,1-Norms Minimization 技术标签: 论文翻译及学习 机器学习一、前言 最近因为对结构化多任务学习,以及对带范数目标函数求解的学习,一直都很想求解带L2,1范数的目标函数(其实这只是个过程),针对这样的不光滑目标函数,梯度下降法
会议:INTERSPEECH 2019 论文:Modulation Vectors as Robust Feature Representation for ASR in Domain Mismatched Conditions 作者:Samik Sadhu, Hynek Hermansky Abstract 在这项工作中,我们在自动语音识别(ASR)系统中的训练和测试条件之间的域不匹配中,证明了...猜...
feature/update-verisons feature/cast-error-fix bugfix/apFileCompress update-to-0.4.72 master-adapt-gradle-tools-3-0-0 feature-resource develop 0.4.99 0.4.96 0.4.95 0.4.93 0.4.91 0.4.88 0.4.87 0.4.85 0.4.82 0.4.81 0.4.75 0.4.71 ...
data-mining locality-sensitive-hashing reverse-image-search elastic-search bag-of-visual-words k-means-clustering content-based-image-retrieval speeded-up-robust-features jaccard-similarity-estimation sift-descriptors surf-detection canny-edge-detector surf-feature-extraction surf-descriptor computer-vision-py...
Java 1.7 + Usage Add below codes in the module's build.gradle. applyplugin:'com.android.application'//please uncomment fellow line before you build a patch//apply plugin: 'auto-patch-plugin'applyplugin:'robust'compile'com.meituan.robust:robust:0.3.0' ...
To support this feature, we have developed another approach to help TPV be more interoperable with other UML tools. The approach is described and evaluated in our paper [44]. Once the ADCM diagram is specified, the designer then inputs the system requirements for the model as TOCL temporal...
我们构建了一个正面人脸检测系统,实现了与已发表的最佳结果相当的检测和假正性率。该人脸检测系统与以前的方法最明显的区别在于它能够非常快速地检测人脸。在传统的700mhz Intel Pentium III上,人脸以每秒15帧的速度在384×288像素的图像上运行。在其他人脸检测系统中,辅助信息,如视频序列中的图像差异,或彩色图像中的...
package ver- 123 57 Page 26 of 41 Empirical Software Engineering (2024) 29:57 Table 6 A summary of the key findings from building the ROBUST dataset Finding Impact / Action / Future Work Many late-stage failures are caused by misconfiguration, feature interac- tions, and co-evolution of com...
The key feature of this approach is to relax the assumption imposed on disturbance to be constant or changing at a slow rate, which is a typical assumption in this class of problems involving a disturbance observer. Then, an exclusive adaptive integral sliding mode controller is combined with ...
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