Deep neural network (DNN) has become a pivotal machine learning and object recognition
technology in the big data era. The softmax layer is one of the key component layers for …

Deep neural networks are widely used in computer vision applications due to their high
performance. However, DNNs involve a large number of computations in the training and …

© 2005, IS&T—The Society for Imaging Science and Technology the anatomy. Both linear
and elastic registration are useful tools in many medical applications. 2− 7 While a linear …

This paper explores the capability of FPGA solutions to accelerate scientific applications with
variable-precision floating-point (VP) arithmetic. First, we present a special-purpose Very …

Many scientific computing applications require efficient variable-precision floating-point
arithmetic. This paper presents a special-purpose Variable-Precision Floating-Point …

Many scientific applications require efficient variable-precision floating-point arithmetic. This
paper presents a special-purpose Very Large Instruction Word (VLIW) architecture for …

Real-time image registration is potentially an enabling technology for the effective and
efficient use of many image-guided diagnostic and treatment procedures relying on …

The current paper explores the capability and flexibility of field programmable gate-arrays
(FPGAs) to implement variable-precision floating-point (VP) arithmetic. First, the VP exact dot …

This thesis presents a design that approximates the fractional part of the based two
logarithm function by using Improved Parabolic Synthesis including its CMOS VLSI …

We present a front-end feature processor for distributed speech recognition for an integer-
based DSP, and we employ block floating point and range reduction for the computation of …