activity
20092014
most citedA Deep and Autoregressive Approach for Topic Modeling of Multimodal Data

65 citations · 66 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2014★ 65 cited

A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data

Yin Zheng, Yu-Jin Zhang, Hugo Larochelle

Topic modeling based on latent Dirichlet allocation (LDA) has been a framework of choice to deal with multimodal data, such as in image annotation tasks. Another popular approach t…

cs.CV2014

Image Tag Completion by Low-rank Factorization with Dual Reconstruction Structure Preserved

Xue Li, Yu-Jin Zhang, Bin Shen +1

A novel tag completion algorithm is proposed in this paper, which is designed with the following features: 1) Low-rank and error s-parsity: the incomplete initial tagging matrix D…

cs.CV2014

Image retrieval with hierarchical matching pursuit

Shasha Bu, Yu-Jin Zhang

A novel representation of images for image retrieval is introduced in this paper, by using a new type of feature with remarkable discriminative power. Despite the multi-scale natur…

cs.CV2013★ 1 cited

A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation

Yin Zheng, Yu-Jin Zhang, Hugo Larochelle

Topic modeling based on latent Dirichlet allocation (LDA) has been a framework of choice to perform scene recognition and annotation. Recently, a new type of topic model called the…

math.NA2009

A Gradient Descent Algorithm on the Grassman Manifold for Matrix Completion

Raghunandan H. Keshavan, Sewoong Oh

We consider the problem of reconstructing a low-rank matrix from a small subset of its entries. In this paper, we describe the implementation of an efficient algorithm called OptSp…