PATENT CLAIM ANALYSIS

Application Number: 16108237
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["382", "156000"]

Abstract:
A method for analyzing images to generate a plurality of output features includes receiving input features of the image and performing Fourier transforms on each input feature. Kernels having coefficients of a plurality of trained features are received and on-the-fly Fourier transforms (OTF-FTs) are performed on the coefficients in the kernels. The output of each Fourier transform and each OTF-FT are multiplied together to generate a plurality of products and each of the products are added to produce one sum for each output feature. Two-dimensional inverse Fourier transforms are performed on each sum.

Claim (Index 11):
A method for analyzing images to produce a plurality of output features in a convolutional neural network, the method comprising:\n receiving a plurality of input features related to the image; performing Fourier transforms (FTs) on each of the plurality of input features; receiving a plurality of kernels, each having coefficients for trained features; performing one on-the-fly Fourier transform (OTF-FTs) on the kernel coefficients of each kernel; and multiplying the output of each FT and each OTF-FT together to generate a plurality of products.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 96.0
- Lexical Diversity: 1.98
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15376473', '10901108', '14934016', '11278039', '15544042']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.285997955846497
- 35 USC 102 Novelty (BERT): 0.5465123374640037
- Combined Prediction Score: 0.3120493940082477
- Mean Citation Score: 184.625484
- Max Citation Score: 388.72028
- Similarity Product: 369.2143357118582

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test