Loading...
Loading...
Compare original and translation side by side
MIN_EMBODIMENTS = 1MAX_EMBODIMENTS = 3EMBODIMENT_STYLE = detaileddetailedoutlineREFERENCE_NUMERAL_PREFIX = 100MIN_EMBODIMENTS = 1MAX_EMBODIMENTS = 3EMBODIMENT_STYLE = detaileddetailedoutlineREFERENCE_NUMERAL_PREFIX = 100patent/INVENTION_DISCLOSURE.mdpatent/CLAIMS.mdpatent/figures/numeral_index.md/figure-descriptionpatent/INVENTION_DISCLOSURE.mdpatent/CLAIMS.mdpatent/figures/numeral_index.md/figure-description| Embodiment | Covers Claims | Type | Key Variations |
|---|---|---|---|
| 1 | Claims 1, X | Best mode / preferred | [primary implementation] |
| 2 | Claims 2, 3 | Alternative | [different parameters/materials] |
| 3 | Claims 4, 5 | Additional alternative | [different configuration] |
| 实施例 | 覆盖的权利要求 | 类型 | 关键变体 |
|---|---|---|---|
| 1 | 权利要求1、X | 最佳方式/首选 | [主要实现方案] |
| 2 | 权利要求2、3 | 替代方案 | [不同参数/材料] |
| 3 | 权利要求4、5 | 附加替代方案 | [不同配置] |
| Claim Element | Embodiment | Reference Numeral | Description Paragraph |
|---|---|---|---|
| [element] | [which] | [numeral] | [paragraph reference] |
| 权利要求要素 | 实施例 | 参考编号 | 描述段落 |
|---|---|---|---|
| [要素] | [对应实施例] | [编号] | [段落引用] |
In one embodiment, the method comprises the following steps:
At step 202, the processor 102 receives input data from the input device 108.
At step 204, the processor 102 extracts feature vectors from the input data using a convolutional neural network.
At step 206, the processor 102 applies the attention mechanism 110 to the feature vectors...In one embodiment, the method comprises the following steps:
At step 202, the processor 102 receives input data from the input device 108.
At step 204, the processor 102 extracts feature vectors from the input data using a convolutional neural network.
At step 206, the processor 102 applies the attention mechanism 110 to the feature vectors...patent/specification/detailed_description.mdpatent/specification/detailed_description.md