保持隐藏 简单恐怖的游戏,具有 光线行进的简单实现,有助于生成运行时灯光/阴影 边界体积层次结构,可加快碰撞检测速度 唇音发生器 科技栈 它是带有HTML5和CSS的平面JS,并带有一些ES6功能。 库: 用于基于GPU的渲染 照顾声音的 货叉: 使用BVH定理的 如何 您可以使用WSAD键移动角色,并使用鼠标旋转闪光灯。 可以使用F键切换手电筒,如果按Shift键,字符将开始冲刺。 游戏中还没有怪物。 演示版 当前版本部署在这里: : 去做: 将所有手电筒逻辑封装在手电筒类中 将所有玩家的逻辑封装在自己的类中 创建基本的游戏实体类,该类将为玩家,怪物,静态对象(例如,储物柜,门)和其他实体共享通用逻辑 添加库存 考虑迁移到React.js / TS 创建zippo打火机项目 打开/关闭全局灯 切换玩家互动 可以加油以在短时间内为照明灯发电的发电厂 燃料项目
2021-03-17 20:13:27 3.23MB JavaScript
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高清完整版,已经加了书签。是数据挖掘方面关于隐马尔科夫模型一本特别好的书
2021-03-06 19:58:44 5.57MB Markov 马尔科夫
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A method of chromatic polarization imaging is presented for the online detection of colorless plastic contaminants from ginned cotton in an industrial setting. To understand the experimental results, we consider a realistic microscopic model, including the multiple scattering of anisotropic fibers a
2021-02-23 18:04:58 529KB 论文
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隐秘相机
2021-01-28 04:46:06 627KB 相机后台拍摄
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代码的奥秘英文原版,带书签 Code:The Hidden Language of Computer Hardware and Software
2019-12-21 21:08:51 30.42MB 计算机
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Hidden Markov Models (HMMs) provide a simple and effective framework for modelling time-varying spectral vector sequences. As a consequence, almost all present day large vocabulary continuous speech recognition (LVCSR) systems are based on HMMs. Whereas the basic principles underlying HMM-based LVCSR are rather straightforward, the approximations and simplifying assumptions involved in a direct implementation of these principles would result in a system which has poor accuracy and unacceptable sensitivity to changes in operating environment. Thus, the practical application of HMMs in modern systems involves considerable sophistication. The aim of this review is first to present the core architecture of a HMM-based LVCSR system and then describe the various refinements which are needed to achieve state-of-the-art performance. These refinements include feature projection, improved covariance modelling, discriminative parameter estimation, adaptation and normalisation, noise compensation and multi-pass system combination. The review concludes with a case study of LVCSR for Broadcast News and Conversation transcription in order to illustrate the techniques described.
2019-12-21 18:51:31 617KB HMM ASR AI
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详细介绍了训练hmm和gmm的EM算法,以及其应用,对利用这些模型的朋友,想了解此算法的最好的资料。
2019-12-21 18:49:52 289KB EM Gaussian Mixture Hidden
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