Introduction to visual recognition to recognize objects and classify scenes or images automatically by a computer. Supervised and unsupervised machine learning principles and deep learning techniques will be utilized for visual recognition. Successful commercial systems based on visual recognition range from entertainment to serious scientific research: face detection and recognition on personal devices, social media. Prerequisites: CMPUT 115 or 175; one of MATH 100, 113, 114, 117, 134, 144, 154; MATH 125; STAT 141, 151 or 235.
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
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LECTURE X01
(87039) |
120 |
2023-09-05 - 2023-12-08 (W)
17:00 - 19:50
NRE 2-003
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Primary Instructor: Nilanjan Ray
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| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LAB X02
(87040) |
33 |
2023-09-05 - 2023-12-08 (M)
17:00 - 19:50
CSC 1-59
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LAB X03
(87041) |
87 |
2023-09-05 - 2023-12-08 (F)
14:00 - 16:50
SAB 4-36
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