PATENT CLAIM ANALYSIS

Application Number: 16034780
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-03
Patent Classification: ["702", "196000"]

Abstract:
Described is a system for sensor data fusion and reconstruction. The system extracts slices from a tensor having multiple tensor modes. Each tensor mode represents a different sensor data stream of incomplete sensor signals. The tensor slices are processed into demixed outputs. The demixed outputs are converted back into tensor slices, and the tensor slices are decomposed into mode factors using matrix decomposition. Mode factors are determined for all of the tensor modes, and the mode factors are assigned to tensor factors by matching mode factors common to two or more demixings. Tensor weight factors are determined and used for fusing the sensor data streams for sensor data reconstruction. Based on the sensor data reconstruction, hidden sensor data is extracted.

Claim (Index 4):
The system as set forth in  claim 1 , wherein mode factors are adjusted until convergence is reached.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 95.0
- Lexical Diversity: 2.1129
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13663312', '12552812', '11571341', '15431165', '15280575']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2280139440973568
- 35 USC 102 Novelty (BERT): 0.502499008815657
- Combined Prediction Score: 0.2554624505691868
- Mean Citation Score: 176.99077400000004
- Max Citation Score: 190.91196
- Similarity Product: 109.33230264651776

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

Dataset: test