Patent №
US 9,704,068
Granted
2017-07-11
Filed 2013
Owner
GOOGLE INC.
AI components
3
ml · vision · planning
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
13924320
A system and method for labelling aerial images. A neural network generates predicted map data. The parameters of the neural network are trained by optimizing an objective function which compensates for noise in the map images. The function compensates both omission noise and registration noise.
Machine learningVisionPlanningG06T 7/11G06F 18/2411G06F 18/2415G06N 3/084G06T 7/143G06T 11/60G06V 10/764G06V 20/13+4 more
AI classification
Vision1.00
Machine learning1.00
Planning1.00
AI hardware0.17
Natural language0.03
Evolutionary computation0.02
Speech0.00
Knowledge representation0.00
Ownership
GOOGLE INC.
assignment · 360960448
Assignors
MNIH, VOLODYMYR, HINTON, GEOFFREY E.
On an employer assignment, the assignors are typically the inventors.
From the same owner
ADAPTIVE RANKING OF NAVIGATION SUGGESTIONSUS 12,694,045 · 2026Multi-Image SearchUS 12,694,053 · 2026GENERATING MULTI-MODAL RESPONSE(S) THROUGH UTILIZATION OF LARGE LANGUAGE MODEL(S)US 12,694,231 · 2026MULTI-STAGE COMPUTATIONALLY EFFICIENT NEURAL NETWORK INFERENCEUS 12,694,268 · 2026HIGH-RESOLUTION MULTIVIEW-CONSISTENT RENDERING AND ALPHA MATTING FROM SPARSE VIEWSUS 12,694,480 · 2026Nonlinear Peri-Codec Optimization For Image And Video CodingUS 12,694,572 · 2026OBJECT OUTLINE GENERATION FROM OVERHEAD IMAGERY USING ACTION SEQUENCE PREDICTIONUS 12,694,670 · 2026CONTEXT-BASED SPEAKER COUNTER FOR A SPEAKER DIARIZATION SYSTEMUS 12,694,708 · 2026