PATENT CLAIM ANALYSIS

Application Number: 16432874
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-09
Patent Classification: ["382", "159000"]

Abstract:
Systems and methods for training and using an image classifier are provided. A plurality of points can be generated from respective patches of images annotated as either a first type or a second type. The points corresponding to the images of the second type can be clustered into two clusters. A first cluster of the two clusters can be identified as closer to the points corresponding to the images annotated as the first type. The points in the first cluster can be assigned to a class positive, the points in the second cluster can be assigned to a class negative, and the points corresponding to the images annotated as the first type can be assigned to an anchor class. A plurality of triplets can be generated based on the points in the various classes. Parameters of an image classifier can be adjusted based on a loss function of the triplets.

Claim (Index 15):
A system for training a model for image classification, the system comprising a device having one or more processors configured to:\n generate a plurality of points from respective patches generated from images that are annotated as either a first type or a second type; cluster, using a clustering algorithm, the points corresponding to the images annotated as the second type into two clusters; identify a first cluster of the two clusters that is closer to the points corresponding to the images annotated as the first type than a second cluster of the two clusters; assign the points in the first cluster to a class positive, the points in the second cluster to a class negative, and the points corresponding to the images annotated as the first type to an anchor class; generate a plurality of triplets, each triplet including a respective point from the anchor class, a respective point from the class positive, and a respective point from the class negative; calculate a loss function of the plurality of triplets; and adjust parameters of an image classifier based on the loss function.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 2.74138
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12683124', '14602494', '13567309', '13198382', '13803334']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3174086035775665
- 35 USC 102 Novelty (BERT): 0.4921802701663011
- Combined Prediction Score: 0.33488577023644
- Mean Citation Score: 192.733902
- Max Citation Score: 212.1668
- Similarity Product: 145.07353331069945

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test