Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...
Feiping Nie, Shiming Xiang, Yangqiu Song, Changshu...
In this paper we present a new algorithm to transform an RGB color image to a grayscale image. We propose using non-linear dimension reduction techniques to map higher dimensional ...
Ming Cui, Jiuxiang Hu, Anshuman Razdan, Peter Wonk...
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
Ying Lai, Ratko Orlandic, Wai Gen Yee, Sachin Kulk...
We present the design of high-performance and energy-efficient dynamic instruction schedulers in a 3-Dimensional integration technology. Based on a previous observation that the c...
Three-dimensional integration technologies have been proposed in order to mitigate design challenges posed by deep-submicron interconnect. By providing multiple layers of active d...