This paper presents the least-mean-magnitude-phase (LMMP) algorithm for adaptive signal processing of complex-valued signals. The algorithm employs a decomposition of the meansqua...
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
We present a set of techniques to simplify tree models for faster rendering while retaining their visual resemblance to the original model. This goal is achieved by setting a budg...
The paper addresses object localization via a distributed sensor network. A centralized estimation approach is undertaken along with a selective node activation strategy to ensure...
The design of large scale DNA microarrays is a challenging problem. So far, probe selection algorithms must trade the ability to cope with large scale problems for a loss of accur...