Finding good representations of text documents is crucial in information retrieval and classification systems. Today the most popular document representation is based on a vector ...
We present tractable, exact algorithms for learning actions' effects and preconditions in partially observable domains. Our algorithms maintain a propositional logical repres...
The advent of advanced graphics technologies and improved hardware has enabled the generation of highly complex models with huge number of triangles. Point-based representations a...
Kedarnath Thangudu, Lakshmi Gade, Jag Mohan Singh,...
We present a generalization of the nonnegative matrix factorization (NMF), where a multilayer generative network with nonnegative weights is used to approximate the observed nonne...
Nonnegative Matrix and Tensor Factorization (NMF/NTF) and Sparse Component Analysis (SCA) have already found many potential applications, especially in multi-way Blind Source Separ...