Beam search algorithmMultimodal relevance measure networkWith the increasing growth of video data, especially in cyberspace, video captioning or the representation of video data in the form of natural language has been receiving an increasing amount of interest in several applications like video retrieval...
This technique uses a breadth-first search algorithm to build a tree data structure and generate successors of each level's current state. Natural language processing (NLP) software applications and speech recognition models use beam search as a decision-making layer. The goal here is to choose ...
Video Tutorial https://www.youtube.com/watch?v=gb__z7LlN_4 in the last video you saw the basic beam search algorithm in this video you learn some little changes that make it work even better length normalization is a small change to the beam search algorithm that can help you get much...
Backtracking search optimisation algorithm has also been used for solving technology and network communication problems. Table 9 gives a summary of the studies conducted for solving the mentioned problems. Table 9. Summary of BSA applications in information and communications technology. Source, author(s...
Beam-Search Formant Tracking Algorithm Based on Trajectory Functions for Continuous Speech Jos´e Enrique Garc´ıa La´ınez1, Dayana Ribas Gonza´lez2, Antonio Miguel Artiaga1, Eduardo Lleida Solano1, and Jos´e Ram´on Calvo de Lara2 1 Communications Technology Group (GTC), ...
Gravitational search algorithm-based fuzzy control for a nonlinear ball and beam systemThis special issue in IJNDC will focus on recent advances and applications of nonlinear dynamical systems with oscillations, bifurcations and chaos. Original research articles in Inderscience format relevant to Special ...
We describe a method for transforming beam search into a complete search algorithm that is guaranteed to find an optimal solution. Called beam-stack search, the algorithm uses a new data structure, called a beam stack, that makes it possible to integrate systematic backtracking with beam search....
From simulation results, for the prerecorded TR 38.901 channel for 70 beam pairs, the proposed algorithm achieves a top-K accuracy of 90% when K=30. This result demonstrates that by using the neural network, you can perform the exhaustive search over less than half of all the beam pairs,...
overcoming the limitation of the Viterbi search.This algorithm consists of prop-agating the M-best hypotheses in each frame, that are evaluated by means of a cost function that makes use of local observations and the trajectory function of neighbor frames. It’s main advantage is to make no ...
In this paper, a filtered-beam-search (FBS) -based heuristic algorithm is proposed to solve the dynamic rescheduling problem in a large and complicated job shop FMS environment with realistic disturbances. To enhance its performance, the proposed algorithm makes improvement in the local/global ...