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Found 5 papers, 0 papers with code
Improved Convex Decomposition with Ensembling and Boolean Primitives
Describing a scene in terms of primitives -- geometrically simple shapes that offer a parsimonious but accurate abstraction of structure -- is an established vision problem.
Blocks2World: Controlling Realistic Scenes with Editable Primitives
We present Blocks2World, a novel method for 3D scene rendering and editing that leverages a two-step process: convex decomposition of images and conditioned synthesis.
An Efficient Anomaly Detection Approach using Cube Sampling with Streaming Data
In this work, we extend our previous work by proposed an efficient iForest based approach for anomaly detection using cube sampling that is effective on streaming data.
An Energy Efficient Health Monitoring Approach with Wireless Body Area Networks
In addition to being able to handle streaming data, the model works within the resource-constrained environments of an LPU and eliminates the need of transmitting the data to a back-end cloud, ensuring further energy savings.
Cube Sampled K-Prototype Clustering for Featured Data
Due to the large sizes of data, clustering algorithm often take too much time.
