Person: Atsushi Imiya

DBLP: Imiya:Atsushi

Facilitated 1 volumes:

Ed

Contributed to:

2014

2010

2009

2007

2006

2005

2004

2003

2001

1999

1996

Wrote 13 papers:

ICPR-2014-ItohIS #2d #image #linear #using

Two-Dimensional Global Image Registration Using Local Linear Property of Image Manifold (HI, AI, TS), pp. 3862–3867.

ICPR-2010-MochizukiKISI #energy

An Iterative Method for Superresolution of Optical Flow Derived by Energy Minimisation (YM, YK, AI, TS, TI), pp. 2270–2273.

MLDM-2009-SakaiI #clustering #performance #random

Fast Spectral Clustering with Random Projection and Sampling (TS, AI), pp. 372–384.

MLDM-2007-SakaiIKH #clustering

Critical Scale for Unsupervised Cluster Discovery (TS, AI, TK, SH), pp. 218–232.

ICPR-v3-2006-NishiguchiIS

Laplacian Based Non-Linear Diffusion Filtering (HN, AI, TS), pp. 838–841.

MLDM-2005-OhnishiI #analysis #component #detection #independence #using

Dominant Plane Detection Using Optical Flow and Independent Component Analysis (NO, AI), pp. 497–506.

ICPR-v2-2004-ImiyaY #analysis

Principal Curve Analysis for Temporal Data (AI, NY), pp. 475–478.

MLDM-2003-ImiyaTOH #bound #detection #random #set

Detecting the Boundary Curve of Planar Random Point Set (AI, KT, HO, VH), pp. 413–424.

MLDM-2003-KawamotoIH #image #sequence

Shape Recovery from an Unorganized Image Sequence (KK, AI, KH), pp. 389–399.

MLDM-2001-ImiyaI #detection #statistics

Statistics of Flow Vectors and Its Application to the Voting Method for the Detection of Flow Fields (AI, KI), pp. 293–306.

MLDM-2001-ImiyaO #linear

PCA-Based Model Selection and Fitting for Linear Manifolds (AI, HO), pp. 278–292.

MLDM-1999-ImiyaK #network

A Dynamics of the Hough Transform and Artifical Neural Networks (AI, KK), pp. 36–50.

ICPR-1996-ImiyaFK #re-engineering #recognition #representation

Reconstruction, recognition, and representation of trees (AI, YF, TK), pp. 595–600.