#include <algorithm> #include <fstream> Expand Down Expand Up @@ -126,7 +128,7 @@ void transcription_filter_destroy(void *data) struct transcription_filter_data *gf = static_cast<struct transcription_filter_data *>(data); obs_log(gf->log_level, "transcription_filter_destroy"); obs_log...
We used the maxima as seeds for a watershed algorithm to generate an oversegmentation (resulting in supervoxels). We stored each supervoxel center of mass as a node with coordinates in a region adjacency graph (RAG). All nodes of touching supervoxels were connected by edges, which were added...
Multi-edge extended X-ray absorption fine structure (EXAFS) spectroscopy combined with reverse Monte Carlo (RMC) simulations was used to probe the details of element-specific local coordinations and component-dependent structure relaxations in single
The Monte Carlo simulations are done using the Metropolis–Hastings algorithm. To compute correlation functions we write hc j O^ j ci hc j ci ¼ X s1 ;:::;sN hs1; :::; sN j O^ j ci hs1; :::; sN j ci Pðs1 ; :::; sN Þ and sample the probability distribution P(s1...
a融合算法中遗传算法的设计 In fusion algorithm genetic algorithm design[translate] aBecause that person is you, so I love 由于那个人是您,我如此爱[translate] a超低噪音(压缩机静音箱+低速风扇) Ultra low noise (compressor static sound box + low speed ventilator)[translate] ...
#include <algorithm> #include <chrono> #include <regex> struct vad_state { bool vad_on; uint64_t start_ts_offest_ms; uint64_t end_ts_offset_ms; uint64_t last_partial_segment_end_ts; }; struct whisper_context *init_whisper_context(const std::string &model_path_in, struct transcripti...
[120] employed RFC (random forest classifier), XGBoost, and the sequential algorithm to study two big cybersecurity datasets and used three SHAP approaches to explain the feature contributions. The study emphasizes the need to understand the value of data in order to increase the explanatory ...
Even though the binary particle swarm optimization algorithm shows good accuracy regarding to other AI techniques such as ANN, it still suffers from the phenomenon of immature convergence (falling into a local solution) in which the search process may get stuck in a region that contains an optimal...
This study aims to solve the problems of sparse reward, single policy, and poor environmental adaptability in the local motion planning task of autonomous underwater vehicles (AUVs). We propose a two-layer deep deterministic policy gradient algorithm-based end-to-end perception–planning–execution ...
The beamWidth parameter is the size of the priority queue (beam) that limits the number of BNs that the search algorithm stores in memory at a given step of the search. This beam sorts the BNs in reducing order of their Bayesian score. Line 2 initializes this beam with singleton models....