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Markov Chain
본 글은 chat-GPT를 통해 얻은 답변입니다. Markov Chain 마르코프 체인(Markov chain)은 시간에 따라 변화하는 상태를 확률적으로 모델링하는 방법 중 하나입니다. 이는 시간이 연속적으로 흐르는 시계열 데이터를 확률적으로 모델링할 때 자주 사용되며, 다양한 분야에서 활용됩니다. 마르코프 체인은 이산적인 상태(State)들의 집합과 각 상태들 간의 전이 확률(Transition Probability)로 이루어집니다. 각 상태에서 다른 상태로 이동할 확률은 현재 상태에만 의존하며, 이전 상태들과의 전이 확률에는 영향을 받지 않는 특징을 가지고 있습니다. 이를 “마르코프 성질(Markov... Read More
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(GAN)PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION Translation
CV Paper List $$\mathbf{PROGRESSIVE\;GROWING\;OF\;GANS\;FOR\;IMPROVED}$$ $$\mathbf{QUALITY,\;STABILITY,\;AND\;VARIATION}\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;$$ \(\mathbf{Abstract}\) We describe a new training methodology for generative adversarial networks. The key idea is to grow both the generator and discriminator progressive... Read More
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(GAN)Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks Translation
CV Paper List $$\mathbf{Precomputed\;Real-Time\;Texture\;Synthesis\;with}$$ $$\mathbf{Markovian\;Generative\;Adversarial\;Networks}$$ \(\mathbf{Abstract}\) This paper proposes Markovian Generative Adversarial Networks (MGANs), a method for training generative neural networks for efficient texture synthesis. While deep neural network appro... Read More
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(GAN)Semi-Supervised Learning with Generative Adversarial Networks Translation
CV Paper List $$\mathbf{Semi-Supervised\;Learning\;with\;Generative\;Adversarial\;Networks}$$ \(\mathbf{Abstract}\) We extend Generative Adversarial Networks (GANs) to the semi-supervised context by forcing the discriminator network to output class labels. We train a generative model G and a discriminator D on a dataset with inputs belongi... Read More
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(GAN)ENERGY-BASED GENERATIVE ADVERSARIAL NETWORKS Translation
CV Paper List \(\mathbf{ENERGY-BASED\;GENERATIVE\;ADVERSARIAL\;NETWORKS}\) \(\mathbf{Abstract}\) We introduce the “Energy-based Generative Adversarial Network” model (EBGAN) which views the discriminator as an energy function that attributes low energies to the regions near the data manifold and higher energies to other regions. Similar to... Read More
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TEX error to Jekyll
분명히 MathJex 설정을 잘못한거 같은데 수정할 시간은 없고… 일단 적용안되는 문법이 있어서 기술해둠 Error Tex Explanation \mathbb{} Git에서는 사용됨, Jekyll에선 안됨 (a)_{b} .. $$ 한 문장에 괄호_{} 문법을 하고 $$ 문법을 추가하면 에러생김 \underset{\parallel}{x} underset 아래에 $\parallel$사용 안됨 \underbrace{}{} ... Read More
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(GAN)U-Net: Convolutional Networks for Biomedical Image Segmentation Translation
CV Paper List \(\mathbf{U-Net:\;Convolutional\;Networks\;for\;Biomedical\;Image\;Segmentation}\) \(\mathbf{Abstract}\) There is large consent that successful training of deep networks requires many thousand annotated training samples. In this paper, we present a network and training strategy that relies on the strong use of data augmentati... Read More