Large sparse matrices play important role in many modern information retrieval methods. These methods, such as clustering, latent semantic indexing, performs huge number of computa...
We have derived a new algorithm for dictionary learning for sparse coding in the ℓ1 exact sparse framework. The algorithm does not rely on an approximation residual to operate, b...
We answer a question left open in an article of Coppersmith and Davenport which proved the existence of polynomials whose powers are sparse, and in particular polynomials whose squ...
In this paper we propose a semi-blind time domain equalizer (TEQ) design method that maximize SIR (signal-tointerference ratio) in frequency domain for VDSL systems. The proposed ...
In a distributed system, a number of application tasks may need to be assigned to different processors such that the system cost is minimized and the constraints with limited reso...