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Found 6 papers, 0 papers with code
Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning
Partial Multi-label Learning (PML) aims to induce the multi-label predictor from datasets with noisy supervision, where each training instance is associated with several candidate labels but only partially valid.
Light Weight Color Image Warping with Inter-Channel Information
Image warping is a necessary step in many multimedia applications such as texture mapping, image-based rendering, panorama stitching, image resizing and optical flow computation etc.
Topic representation: finding more representative words in topic models
The top word list, i. e., the top-M words with highest marginal probability in a given topic, is the standard topic representation in topic models.
A Pseudo Label based Dataless Naive Bayes Algorithm for Text Classification with Seed Words
We empirically show that PL-DNB outperforms traditional dataless text classification algorithms with seed words.
A salt and pepper noise image denoising method based on the generative classification
In this paper, an image denoising algorithm is proposed for salt and pepper noise.
Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs
Gaussian LDA integrates topic modeling with word embeddings by replacing discrete topic distribution over word types with multivariate Gaussian distribution on the embedding space.
