98 citations · 147 across the 9 of their papers we have counts for
4 papers · 1 filter
Deep Variational Canonical Correlation Analysis
Weiran Wang, Xinchen Yan, Honglak Lee +1
We present deep variational canonical correlation analysis (VCCA), a deep multi-view learning model that extends the latent variable model interpretation of linear CCA to nonlinear…
The Laplacian K-modes algorithm for clustering
Weiran Wang, Miguel Á. Carreira-Perpiñán
In addition to finding meaningful clusters, centroid-based clustering algorithms such as K-means or mean-shift should ideally find centroids that are valid patterns in the input sp…
The role of dimensionality reduction in linear classification
Weiran Wang, Miguel Á. Carreira-Perpiñán
Dimensionality reduction (DR) is often used as a preprocessing step in classification, but usually one first fixes the DR mapping, possibly using label information, and then learns…
LASS: a simple assignment model with Laplacian smoothing
Miguel Á. Carreira-Perpiñán, Weiran Wang
We consider the problem of learning soft assignments of items to categories given two sources of information: an item-category similarity matrix, which encourages items to…