Personal Information
Organization / Workplace
Japan Japan
Occupation
Researcher at S. CSL (5793b870)
Industry
Technology / Software / Internet
About
Research: Information Sciences for Intrinsic Data Analytics (Computational information geometry).
Teaching: HPC and Big Data (MPI, OpenMP) for Data Science
Interests: information geometry, computational geometry, computer graphics and visualization, computer vision, machine learning, data mining, combinatorial optimization, computer graphics and visualization
foundations of computing and algorithms
Editorial board: AE of Journal of Mathematical Imaging and Vision (JMIV, Springer) and Entropy (MDPI)
Contact Details
Tags
information geometry
bregman divergence
exponential families
hpc
big data
clustering
voronoi diagram
f-divergence
inf442
mixture simplification
k-means
360-degree video
topology
mpi
alpha divergence
jensen divergence
panoramic video
parallel linear algebra
fisher information
total jensen divergence
data science
ui
distributed computing
computational information geometry
mapreduce
minimum enclosing ball
mixtures
computer graphics
matrix manifold
level of details
3d textured model
matrix distance
user interface
logging
design
pins
surround video
high-quality
knn
gpu
performance analysis
jeffreys divergence
jeffreys centroid
symmetrical kullback-leibler divergence
chi square
hypothesis testing
statistical divergences
kullback-leibler divergence
gmm
homography
image segmentation
variational k-means
conformal divergence
bhattacharyya divergence
beta divergence
metric learning
benchmark
image stitching
hci
focus+context interfaces
statistical distances
high dimensions
centroid
texture synthesis
regression
bregman ball tree
bregman nearest neighbors
patch matching
gamma divergence
shannon entropy
shannon information
chernoff information
maximum entropy
absolute raw moments
gaussian mixture models
comparative convexity
chord gap divergence
chord jensen divergence
statistical mixtures
statistical hypothesis testing
hilbert geometry
elliptope
probability simplex
k-means++
normalized mutual information
affine connection
curvature
exponential family
mixture family
statistical manifold
dynamic programming
expectation maximization
geometric clustering
wishart distributions
learning mixtures
riemannian 1-center
riemannian k-center clustering
core-sets
csiszar f-divergence
hierarchical clustering
k-nn classification
parallel sorting
dimension reduction
coresets
hypercube
gray code
parallel graph algorithms
computational geometry
total bregman divergence
cluster of machines
french
machine learning
360 degree video
c++
classification
parallelism
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