Dimensionality reduction is an important pre-processing step for many applications. Linear Discriminant Analysis (LDA) is one of the well known methods for supervised dimensionali...
In this work we address the problem of proving, by static analysis means, that allocating and deallocating regions in the store provides a safe way to achieve memory management. Th...
This paper considers the downlink beamforming optimization problem that minimizes the total transmission power subject to global shaping constraints and individual shaping constrai...
Voltage-frequency scaling (VFS) trades a linear processor slowdown for a potentially quadratic reduction in energy consumption. Complex dependencies may exist between different tas...
Relevance feedback, which traditionally uses the terms in the relevant documents to enrich the user's initial query, is an effective method for improving retrieval performanc...