: We present several techniques for accelerating dynamic vector compaction for combinational and sequential circuits. A key feature of all our techniques is that they significantly...
Various alternatives have been developed to improve the Winner-Takes-All (WTA) mechanism in vector quantization, including the Neural Gas (NG). However, the behavior of these algo...
Aree Witoelar, Michael Biehl, Anarta Ghosh, Barbar...
Based on biological data we examine the ability of Support Vector Machines (SVMs) with gaussian kernels to learn and predict the nonlinear dynamics of single biological neurons. We...
— Effective use of support vector machines (SVMs) in classification necessitates the appropriate choice of a kernel. Designing problem specific kernels involves the definition...
Steinn Gudmundsson, Thomas Philip Runarsson, Sven ...
Abstract. We present a hardware mechanism which dynamically detects uniform and affine vectors used in Graphics Processing Units, to minimize pressure on the register file and redu...