Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
We present a Semantic Optimized Service Discovery (SemOSD) approach capable of handling Web service search requests on a fine-grained level of detail where we augment semantic ser...
This paper presents a unified model for image editing in terms of Sparse Matrix-Vector (SpMV) multiplication. In our framework, we cast image editing as a linear energy minimizat...
Given the complexity of parallel programs, developers often must rely on performance analysis tools to help them improve the performance of their code. While many tools support th...
Abstract. The acceptance of UML as a de facto standard for the design of object-oriented systems, together with the explosive growth of the World Wide Web has raised the need for U...