May 15, 2019 · In this paper, we present a novel semi-supervised semantic embedding method based on kernel matrix factorization for automatic multi-label annotation.
In this paper, we present a novel semi-supervised semantic embedding method based on kernel matrix factorization for automatic multi-label annotation.
Semantic Scholar extracted view of "Scalable multi-label annotation via semi-supervised kernel semantic embedding" by Jorge A. Vanegas et al.
In this paper, we present a novel semi-supervised semantic embedding method based on kernel matrix factorization for automatic multi-label annotation.
A multi-modal retrieval system based on a supervised multimodal kernel semantic embedding model that supports the search of relevant cases in a multimodals ...
Free PDF. Scalable multi-label annotation via semi-supervised kernel semantic embedding Cover Page · Multi-label classification using hierarchical embedding.
Scalable multi-label annotation via semi-supervised kernel semantic embedding. JA Vanegas, HJ Escalante, FA González. Pattern Recognition Letters 123, 97-103 ...
We study strategies for scalable multi-label annotation, or for efficiently acquiring multiple labels from humans for a collection of items.
We study strategies for scalable multi-label annotation, or for efficiently acquiring multiple labels from humans for a col- lection of items.
Missing: supervised embedding.
Scalable multi-label annotation via semi-supervised kernel semantic embedding ... kernel matrix factorization for automatic multi-label annotation. The ...