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arbitrary windowing functions (global constraints), eg. theSakoe-Chiba bandand theItakura parallelogram; arbitrary transition types (also known as step patterns, slope constraints, local constraints, or DP-recursion rules). This includes dozens of well-known types: ...
In Oracle, there is an additional class of fixed views, the GV$ (Global V$) fixed views. For each of the V$ views described in this chapter (with the exception of V$CACHE_LOCK, V$LOCK_ACTIVITY, V$LOCKS_WITH_COLLISIONS, and V$ROLLNAME), there is a GV$ view. In a parallel server ...
Image-Based Proxy Accumulation for Real-Time Soft Global Illumination We present a new, general, and real-time technique for soft global illumination in low-frequency environmental lighting. It accumulates over relatively few... PP Sloan,NK Govindaraju,D Nowrouzezahrai,... - IEEE 被引量: 100...
The Trading Analysts will look into our global trading daily and utilize statistical techniques including time series analysis, probability distribution analysis to spot potential day-to-day trading issues, and compare performance of different execution algorithms and select best algorithms. The analyst wil...
Bacteria utilize thermotaxis signal transduction proteins, including CheA, and CheY, to switch the direction of the cell movement. However, the thermally responsive machinery enabling warm-seeking behavior has not been identified. Here we examined the ef
python train.py --dynamic --global-gate --loss-ratio 1e-4 --eval-every 1 \ --finetune results/nyuv2/hard-loss1e-4/ckpt_best.pth \ --temp 1.0 --end-temp 0.001 \ --epoch_ini 0 --epoch_hard 500 Evaluation (1) Regular setting (Table 3 in the paper) ...
Abstract Industrial standard model-based controllers need an accurate dynamic model to perform reliably. The classical technique for dynamics modeling of industrial robots relies on deriving the closed-form dynamic equations and then identifying the inertial parameters on the assumption that all the kinemat...
Global Optimization of UAV Area Coverage Path Planning Based on Good Point Set and Genetic Algorithm. Aerospace 2022, 9, 86. [Google Scholar] [CrossRef] Tang, Y.; Wang, Z.; Fang, J. Feedback learning particle swarm optimization. Appl. Soft Comput. 2011, 11, 4713–4725. [Google Scholar...