Recursive AlgorithmThe aim of this study is to develop a general purpose optimal trajectory planifing algorithm for multibody systems. Multibody systems may be divided into two groups, i.e., open loop systems and closed loop systems. In a previous paper, a general purpose optimal trajectory pla...
More complex approaches, such as recursive deep models (Socher et al., 2012, 2013) work in a bottom-top fashion over a parse-tree structure of a sentence to infer the sentiment label of the sentence as a composition of the sentiment expressed by its constituting parts: words and phrases. ...
How can i preserve values in a list when using recursive function calls ? How can I redirect a page after a javascript alert is clicked How can I remove space and hyphens from string? how can i run a method in a specific date or time ? How can I save an image using the image URL...
In recent years, deep learning has witnessed a growing interest due to its ability to solve complex problems and offer accurate results. It has found wide applications in finance, particularly in the stock market. Stock market offers exciting challenges and opportunities for the applications of deep...
Accordingly, we consider a novel perspective: summaries with a purpose. This work is an attempt to both, call the attention on this neglected aspect of video summarisation research, and to illustrate it and explore it with two concrete purposes, focusing on first-person-view videos. The ...
In addition to the analyses of truncated AO basis functions, we introduce an algorithm to construct basis sets towards the CBS limit for RT(LR)-TDHF/TDDFT calculations. The idea of CBS limit employed here is to add diffuse functions (see examples (S)-methyloxirane and (-)-α-pinene for ...
Considering many variable parts and functional extensions in the Q-learning paradigm from perspective ofcommonality/variabilityanalysis in order to practice object-oriented design, this library provides abstract class that defines the skeleton of a Q-Learning algorithm in an operation, deferring some step...
Thus RMSHE can be perceived as a generalized representation of BBHE. A similar recursive HE method, namely recursive sub-image histogram equalization (RSIHE) [20], has been proposed. The only difference to RMSHE is that the RSIHE divides the histogram according to the median. It, thus, ...
The central thesis of AI 2027 is that the rapid, recursive improvement of AI systems will soon enable them to automate significant portions, and eventually all, of the AI research and development (R&D) process. This creates a powerful feedback loop: better AI builds better AI, leading to an...
This paper introduces Spartan, a new family of zero-knowledge succinct non-interactive arguments of knowledge (zkSNARKs) for the rank-1 constraint satisfiability (R1CS), an NP-complete language that generalizes arithmetic circuit satisfiability. A distin