Dimensionality reduction is an important pre-processing step in many applications. Linear discriminant analysis (LDA) is a classical statistical approach for supervised dimensiona...
XML has already become the de facto standard for specifying and exchanging data on the Web. However, XML is by nature verbose and thus XML documents are usually large in size, a fa...
Wilfred Ng, Wai Yeung Lam, Peter T. Wood, Mark Lev...
Most game programs have a large number of parameters that are crucial for their performance. While tuning these parameters by hand is rather difficult, efficient and easy to use ge...
We investigate whether dimensionality reduction using a latent generative model is beneficial for the task of weakly supervised scene classification. In detail we are given a set ...
Abstract. A fundamental issue in evolutionary biology is the transition from unicellular to multicellular organisms, and the cellular diļ¬erentiation that accompanies the increase...
Cristian A. Solari, John O. Kessler, Raymond E. Go...