Abstract: Matrix inverse computation is one of the most fundamental mathematical problems in large-scale data analytics and computing. It is often too expensive to be solved in resource-constrained ...

Abstract: This paper presents a method of pose synthesis based on a low-dimensional space and a set of characteristics of motion learned from examples. This method consists of two phases: learning and ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

Addressing a variety of questions within Earth science disciplines entails the inference of the spatiotemporal distribution of parameters of interest based on observations of related quantities. Such ...

Click to share on X (Opens in new window) X Click to share on Facebook (Opens in new window) Facebook Michael ends up finding himself trapped on the roof of his school with the Agents closing in on ...

Polymer matrix composites (PMCs) are made by reinforcing a polymer-based matrix with glass, carbon, or aramid fibers. PMCs are classified into thermosetting and thermoplastic resins based on the type ...

What is an inverse futures contract? An inverse futures contract is a financial arrangement that requires the seller to pay the buyer the difference between the agreed-upon price and the current price ...

Computer scientists have discovered a new way to multiply large matrices faster than ever before by eliminating a previously unknown inefficiency, reports Quanta Magazine. This could eventually ...

Today, organizations across all industries and geographies are looking at leveraging data and analytics (D&A) to increase revenue, reduce costs and mitigate risks. However, many organizations aren't ...