Recently, tensor-based feature learning has attracted great interest in the emergence of multi-linear data. In this chapter, we briefly introduce some Tucker-based feature learning methods. Different from vector-based methods that learn a single large transformation matrix to obtain a vector feature,...
Yang, "Tensor-based feature representation with application to multimodal face recognition," IJPRAI , vol. 25, pp. 1197-1217, 2011. [11] G. Chiachia, A. N. Marana, T. Ruf and A. C. Ernst, "Histograms: A simple feature extraction and matching approach for face recognition," IJPRAI, ...
隔离sensitive feature sensitive feature和其他feature混在一起,分布在隐因子矩阵的各个维度,很难提取。对此解决办法是插入sensitive features到隐因子矩阵中来隔离sensitive attribute的影响。比如创建向量s0:1表示男,0表示女和向量s1:1表示女,0表示男,这两个向量形成一个matrix,记作Sensitive Features S,,然后把这个mat...
Feature extraction GEO: Gene expression omnibus GO: Gene Ontology HC: Hippocampus HOSVD: Higher-order singular value decomposition KEGG: Kyoto Encyclopedia of Genes and Genomes MF: Molecular function MPFC: Medial prefrontal cortex NMD: Nonsense-mediated decay PTSD: Post-traumatic stress di...
New feature (non-breaking change which adds functionality). Resolves # Breaking change (fix or feature that would cause existing functionality to not work as expected) Resolves # Motivation and Context FarthestPointDownSample is an important downsampling method, however it's performance render this im...
Feature bagging for outlier detection. In KDD '05. 2005.[19] Li, D., Chen, D., Jin, B., Shi, L., Goh, J. and Ng, S.K., 2019, September. MAD-GAN: Multivariate anomaly detection for time series data with generative adversarial networks. In International Conference on Artificial ...
In this section, we present the methodology and experiments used to validate OPF in the context of tensor-based feature representation. 3.1Datasets We considered two public datasets, as follows: Gait-based Human IDFootnote1: this dataset comprises 1,870 sequences from 122 individuals aiming at the...
In this paper, we propose Capuchin, a tensor-based GPU memory management module that reduces the memory footprint via tensor eviction/prefetching and recomputation. The key feature of Capuchin is that it makes memory management decisions based on dynamic tensor access pattern tracked at runtime. ...
When this feature is enabled (EnableTagEmbeddings == true), tokens included in certain tags will add the corresponding tag embeddings into their input embeddings. Here is an example: The embedding of <ANATOMY> will be added to the embedding of token "rotator" and "cuff" and the embedding ...
Limbo for Tensor is a QEMU-based hypervisor for KVM-enabled AArch64 devices such as Google Pixel 6,7,8 series. Need more test/verification on Pixel 8 Limbo leverages the Kernel KVM feature from the Exception Level 2 hypervisor privilege level. Currently, Google Tensor SoC supports this feature...