Difference between revisions of "IBCS2 - Case Study Terms"
From WLCS
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=== Period 6 === | === Period 6 === | ||
Last Name, First Name - Key Term | Last Name, First Name - Key Term | ||
− | * | + | * Last Name, First Name - Term |
+ | * Arandia, Natalie Point clouds | ||
+ | * Brancati, Laura Max-pooling / Pooling | ||
+ | * Brodowski, Skylar Shift invariance (Spatial invariance) | ||
+ | * Bui, Mr. BigO notation, Bounding boxes, Society of Automotive Engineers | ||
+ | * Chowdhury, Ritavash Machine learning | ||
+ | * Christensen, Erika Receptive field | ||
+ | * Connolly, Carsten Filter stride | ||
+ | * Do, Lan-Ian Greedy algorithm | ||
+ | * Douglass, Malcolm Cost function | ||
+ | * Dunham, Caleb End-to-end learning | ||
+ | * Edwards, Adam Feature maps (Activation maps) | ||
+ | * Hall, Ethan Vehicle-to-infrastructure (VTI) protocol | ||
+ | * Jones, Ryan Filters (Kernels) | ||
+ | * Martin, Amelia Autonomous, Brute-force | ||
+ | * Meade, Kerry Nearest neighbour algorithm | ||
+ | * Muskovitz, Samuel Deep learning | ||
+ | * Otal, Lucas Overfitting | ||
+ | * Ozgo, Christopher Sensor Fusion | ||
+ | * Slater, James Backpropagation | ||
+ | * Stokely, Annabeth Dijkstra’s algorithm | ||
+ | * Stoltz, Ryan Vehicle-to-vehicle (VTV) protocol | ||
+ | * Wallace, Sophia Convolutional neural networks (CNNs) | ||
+ | * Webster, Liam Multi-layer perceptron (MLP) |
Revision as of 14:24, 23 March 2018
Period 3
Last Name, First Name - Key Term
- Adams, Christopher - Multi-layer perceptron (MLP)
- Berhe, Yoseif - Machine learning
- Brantley, Jackson - Vehicle-to-infrastructure (VTI) protocol
- Bui, Mr. - BigO notation
- Callen, Thomas - Greedy algorithm
- Churbuck, Julia - Feature maps (Activation maps)
- Darnell, Daanesh - Shift invariance (Spatial invariance)
- Deily, Matthew - Convolutional neural networks (CNNs)
- Deininger, Cora - Receptive field
- Gantulga, Tengis - Autonomous, Brute-force
- Harris, Matteo - Filter stride
- Horton, Jack - Vehicle-to-vehicle (VTV) protocol
- Huggett, Victor - Filters (Kernels)
- Khuu, Alisa - Deep Learning
- LaGrassa, Vincent - Cost function
- Leclair, Andrew - Bounding boxes, Society of Automotive Engineers
- MacCullough, Colin - Nearest neighbour algorithm
- Mai, Huy - Max-pooling / Pooling
- McCord-Snook, Christian - End-to-end learning
- Probasco, Kara - Backpropagation
- Pulley, Henry - Sensor fusion
- Ruckman, Audrey - Dijkstra's Algorithm
- Spirtas-Hurst, Claire - Point clouds
- Spruth, Julian - Overfitting
Period 6
Last Name, First Name - Key Term
- Last Name, First Name - Term
- Arandia, Natalie Point clouds
- Brancati, Laura Max-pooling / Pooling
- Brodowski, Skylar Shift invariance (Spatial invariance)
- Bui, Mr. BigO notation, Bounding boxes, Society of Automotive Engineers
- Chowdhury, Ritavash Machine learning
- Christensen, Erika Receptive field
- Connolly, Carsten Filter stride
- Do, Lan-Ian Greedy algorithm
- Douglass, Malcolm Cost function
- Dunham, Caleb End-to-end learning
- Edwards, Adam Feature maps (Activation maps)
- Hall, Ethan Vehicle-to-infrastructure (VTI) protocol
- Jones, Ryan Filters (Kernels)
- Martin, Amelia Autonomous, Brute-force
- Meade, Kerry Nearest neighbour algorithm
- Muskovitz, Samuel Deep learning
- Otal, Lucas Overfitting
- Ozgo, Christopher Sensor Fusion
- Slater, James Backpropagation
- Stokely, Annabeth Dijkstra’s algorithm
- Stoltz, Ryan Vehicle-to-vehicle (VTV) protocol
- Wallace, Sophia Convolutional neural networks (CNNs)
- Webster, Liam Multi-layer perceptron (MLP)