Anat Levin HomePage
Department of Electrical Engineering Meyer 958 Technion Haifa, 32000, Israel Phone: +972-4-8295921 E-mail: Vita Research Interests: My research interests are in the areas of Computer Vision, Computer Graphics and Optics. In particular I worked on computational photography, display technology, low and mid level vision. For more details about my work, please have a look at my publication list. Publi
【道東・阿寒湖】日本屈指のナチュラルパワースポット巡りで、癒されて心洗われる1日♪ | PlayLife [プレイライフ]
阿寒湖と阿寒湖温泉街は、とても空気がおいしくホッとするので、大好きな場所です。 風水では、旭岳の龍脈とカムチャッカ半島～知床～屈斜路湖からの龍脈が交わる龍穴（パワースポット）が阿寒湖と言われています。 数多くの強力パワースポットがありながら、どこも穏やかでナチュラルなスポットばかりなのは、龍がとぐろを巻いて滞留し、見守ってくれると言われる阿寒湖だからでしょうか。 心身の癒しとリフレッシュに、とてもおすすめです♪ 新型コロナウイルスの影響で日々状況が変化していますので、最新情報については各施設のHPをご確認ください。 また、外出自粛要請の出ている地域において、不要不急の外出はお控えください。 感染症の予防および拡散防止のために、咳エチケット・手洗い・アルコール消毒・マスク着用などを心がけるようお願いいたします。
![【道東・阿寒湖】日本屈指のナチュラルパワースポット巡りで、癒されて心洗われる1日♪ | PlayLife [プレイライフ]](https://cdn-ak-scissors.b.st-hatena.com/image/square/63139c13c5035200558e58bc11c2cf84a6985395/height=288;version=1;width=512/https%3A%2F%2Fd17vjxfu0igzun.cloudfront.net%2Fimages%2F9404f64abc699d544dbd577ae717d52e%2F1200x630c%2Fspot_photos%2F109749%2Foriginal-ebed9ddda2cfdef31a39e6e402005d6899c5c6c3.jpg)
jonker-volgenant algorithm + t-sne = super powers
jonker-volgenant algorithm + t-sne = super powers By DevRel team / 14 March 2017 BEFOREAFTERIntrigued? Then… first things first! t-snet-SNE is the very popular algorithm to extremely reduce the dimensionality of your data in order to visually present it. It is capable of mapping hundreds of dimensions to just 2 while preserving important data relationships, that is, when closer samples in the orig
Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks
Convolutional neural networks (CNNs) have proven highly effective at image synthesis and style transfer. For most users, however, using them as tools can be a challenging task due to their unpredictable behavior that goes against common intuitions. This paper introduces a novel concept to augment such generative architectures with semantic annotations, either by manually authoring pixel labels or
Medical Image Analysis with Deep Learning — I
Note: This is a 4 part article and you can find the other articles via these links (part 1, part 2, part 3, part 4). I have also put together collection of these in a small booklet available via amazon, if you would like a physical copy. Please reach out to me if you have feedback to improve and provide this information to all. Analyzing images and videos, and using them in various applications su
A Bag-of-Words Equivalent Recurrent Neural Network for Action Recognition
The traditional bag-of-words approach has found a wide range of applications in computer vision. The standard pipeline consists of a generation of a visual vocabulary, a quantization of the features into histograms of visual words, and a classification step for which usually a support vector machine in combination with a non-linear kernel is used. Given large amounts of data, however, the model su
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Image Style Transfer Using Convolutional Neural Networks
RでGamma分布とWeibull分布と一般化Gamma分布でフィッティングした時のAICの話 - Qiita
Bayesian survival analysis with horseshoe priors—in Stan! | Statistical Modeling, Causal Inference, and Social Science
10 Million Dots: Mapping European Population – James Cheshire