Kohta Ishikawa
12 SlideShares 123 Followers 61 Followings
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Tokyo Japan
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A research engineer working on CV, ML, and Indoor climbing
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machine learning mathematics deep learning neural networks physics computer vision information theory quantum mechanics optimization r programming statistics tokyoscipy information technology finance trading python r statistics
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Presentations

(12)
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PRML_2.3.1~2.3.3

13 years ago • 8401 Views

Introduction to statistics

13 years ago • 101988 Views

Rでisomap（多様体学習のはなし）

12 years ago • 29190 Views

Particle Filter Tracking in Python

12 years ago • 19349 Views

Introduction to pairtrading

12 years ago • 25725 Views

Nonlinear Filtering and Path Integral Method (Paper Review)

12 years ago • 3049 Views

R Language Definition 2.2 to 2.3

12 years ago • 1518 Views

量子アニーリング解説 1

11 years ago • 8105 Views

A brief explanation of Causal Entropic Forces

10 years ago • 3091 Views

Model Transport: Towards Scalable Transfer Learning on Manifolds 論文紹介

9 years ago • 6272 Views

Spherical CNNs paper reading

5 years ago • 3324 Views

[Paper reading] Hamiltonian Neural Networks

4 years ago • 841 Views

Likes

(57)
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MDとはなにか

Hiroshi Watanabe • 9 years ago

多項式あてはめで眺めるベイズ推定 ~今日からきみもベイジアン~

tanutarou • 6 years ago

相関と因果について考える：統計的因果推論、その(不)可能性の中心

takehikoihayashi • 11 years ago

猫でも分かるVariational AutoEncoder

Sho Tatsuno • 7 years ago

P02 sparse coding cvpr2012 deep learning methods for vision

zukun • 11 years ago

Unconventional phase transitions in frustrated systems (March, 2014)

Shu Tanaka • 10 years ago

２次元可解量子系のエンタングルメント特性

Shu Tanaka • 9 years ago

Stochastic Variational Inference

Kaede Hayashi • 8 years ago

機械学習で泣かないためのコード設計

Takahiro Kubo • 7 years ago

General Tips for participating Kaggle Competitions

Mark Peng • 8 years ago

Cv20160205

Takanori Ogata • 8 years ago

NIPS2015読み会: Ladder Networks

Eiichi Matsumoto • 8 years ago

機械学習におけるオンライン確率的最適化の理論

Taiji Suzuki • 10 years ago

行列およびテンソルデータに対する機械学習（数理助教の会 2011/11/28）

ryotat • 12 years ago

優れた研究論文の書き方―7つの提案

Masanori Kado • 8 years ago

論文紹介: Fast R-CNN&Faster R-CNN

Takashi Abe • 8 years ago

Unsupervised Object Discovery and Localization in the Wild: Part-Based Matching With Bottom-Up Region Proposals （関東CV勉強会 CVPR 2015 読み会）

Yoshitaka Ushiku • 8 years ago

CVPR 2015 論文紹介（NTT研究所内勉強会用資料）

Yoshitaka Ushiku • 8 years ago

Mind’s Eye: A Recurrent Visual Representation for Image Caption Generation

tomoaki0705 • 8 years ago

【チュートリアル】動的な人物・物体認識技術 -Dense Trajectories-

Hirokatsu Kataoka • 9 years ago

Caffeのデータレイヤで夢が広がる話

Masaki Saito • 9 years ago

Deformable Part Modelとその発展

Takao Yamanaka • 9 years ago

Deformable Part Modelとその発展

Takao Yamanaka • 9 years ago

Deformable Part Modelとその発展

Takao Yamanaka • 9 years ago

A Safe Rule for Sparse Logistic Regression

Kimikazu Kato • 9 years ago

Deep Learningと画像認識 　 ～歴史・理論・実践～

nlab_utokyo • 9 years ago

Deep Learning技術の最近の動向とPreferred Networksの取り組み

Kenta Oono • 9 years ago

関東CV勉強会ECCV2014 （Blind Deblurring using Internal Patch Recurrence）

tackson5 • 9 years ago

Large-Scale Object Classification Using Label Relation Graphs

Takuya Minagawa • 9 years ago

非技術者でもわかる（？）コンピュータビジョン紹介資料

Takuya Minagawa • 9 years ago
Personal Information
Organization / Workplace
Tokyo Japan
About
A research engineer working on CV, ML, and Indoor climbing
Tags
machine learning mathematics deep learning neural networks physics computer vision information theory quantum mechanics optimization r programming statistics tokyoscipy information technology finance trading python r statistics
See more