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Stop crashing your Python scripts: How to handle massive datasets on any laptop

How chunked arrays turned a frozen machine into a finished climate model ...
IEEE

Class-Specific Random Forest With Cross-Correlation Constraints for Spectral–Spatial Hyperspectral Image Classification

Abstract: A class-specific random forest (RF) model with cross-correlation constraints is developed for the spectral–spatial hyperspectral image (HSI) classification. The novelties of this letter are ...
IEEE

Non-Exemplar Class-Incremental Learning by Random Auxiliary Classes Augmentation and Mixed Features

Abstract: Non-exemplar class-incremental learning refers to continual classifying of new and old classes without storing samples of old classes. Since only new class samples are available, ...
GitHub

A Unified Objective for Novel Class Discovery

Abstract: In this paper, we study the problem of Novel Class Discovery (NCD). NCD aims at inferring novel object categories in an unlabeled set by leveraging from prior knowledge of a labeled set ...