Object Detection and Classification Algorithms using Deep Learning for Video Surveillance Applications

Cost-sensitive Classification: Algorithms and Advances

What would you do if this happened in your class? 😂😂😂 | OneClass

Classification Analysis with KNN, NN, and SVM

4.a. Describe the steps involved in training an SVM model.b. Given a dataset for a binary classification problem:Class 1 (Positive Class): X 1=[1,2,3,4,5] X 2=[2,3,4,5,6]Class 2 (Negative Class): X1=[8,9,10,11,12] X2=[9,10,11,12,13]i. Visualize the dataset on a 2D plane.ii. Use a linear SVM to find the optimal hyperplane that separates the two classes. Identify the support vectors.

Multi-label classification in AI: A new path for object recognition