Parallelized Tensor Train Learning of Polynomial Classifiers
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2017.2771264
Abstract: In pattern classification, polynomial classifiers are well-studied methods as they are capable of generating complex decision surfaces. Unfortunately, the use of multivariate polynomials is limited to kernels as in support-vector machines, because polynomials quickly become… read more here.
Keywords: tensor train; polynomial classifiers; parallelized tensor; tensor ... See more keywords
You Only Train Once: Learning General and Distinctive 3D Local Descriptors
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3180341
Abstract: Extracting distinctive, robust, and general 3D local features is essential to downstream tasks such as point cloud registration. However, existing methods either rely on noise-sensitive handcrafted features, or depend on rotation-variant neural architectures. It remains… read more here.
Keywords: local descriptors; train learning; general distinctive; rotation ... See more keywords