Fast and Robust Smile Intensity Estimation by Cascaded Support Vector Machines

Keiji Shimada , Yoshihiro Noguchi , Takio Kuria
International Journal of Computer Theory and Engineering 24 -30

8
2013
Analysis of sparse regularization for ReLU activation function in CNN

Ide Hidenori , Kurita Takio
IEICE Technical Report; IEICE Tech. Rep. 116 ( 528) 123 -128

2017
On Data Extension For Signal Data

Fujiki Jun , Eguchi Shu , Kurita Takio , Tanaka Masaru
IEICE Technical Report; IEICE Tech. Rep. 116 ( 528) 237 -242

2017
Pedestrian Detection by Boosting Soft-Margin SVM with Feature Selection

Nishida Kenji , Kurita Takio
IEICE Technical Report; IEICE Tech. Rep. 104 ( 669) 49 -54

2005
Discriminative Pixel-Pair Feature Selection for Tracking

Nishida Kenji , Higashikubo Masakatsu , Kurita Takio
IEICE Technical Report; IEICE Tech. Rep. 109 ( 344) 77 -82

2009
Action recognition using cubic cross-correlations features of local motion attributes

Matsukawa Tetsu , Kurita Takio
IEICE Technical Report; IEICE Tech. Rep. 109 ( 470) 305 -310

2010
Scene classification using higher order cross-correlations features of local posterior probabilities

Matsukawa Tetsu , Kurita Takio
IEICE Technical Report; IEICE Tech. Rep. 109 ( 418) 117 -122

2010
Spectators' State Classification Using Histograms of Facial Expression and Face Direction

Matsukawa Tetsu , Kurita Takio , Hidaka Akinori
IEICE Technical Report; IEICE Tech. Rep. 108 ( 484) 1 -6

2009
Bag-of-features car detection based on selected local features using Support Vector Machine

Matsukawa Tetsu , Suzuki Koji , Kurita Takio
IEICE Technical Report; IEICE Tech. Rep. 108 ( 484) 7 -12

3
2009
Foveating point selection mechanism based on the Pulse {Coupled Neural Network

Masaru Tanaka , Takashi Watanabe , Kurita Takio , Taketoshi Mishima

An edge-based approach for the segmentation of 3-D range images of small industrial-like objects

TAKIO KURITA , NABIH N. ABDELMALEKJ
International Journal of Systems Science 23 ( 9) 1449 -1461

1992
A New Face Identification Method Using Supervised Independent Component Analysis.

SHINJI UMEYAMA , TAKIO KURITA , SHOTARO AKAHO
電子情報通信学会技術研究報告 99 ( 118 (PRMU99 19-29)) 59 -66

1999
Apply Autoassociative Learning to Recover the Motion and the Shape from Sequences of Scaled Orthographic Images

JUN FUJIKI , TAKASHI TAKAHASI , TAKIO KURITA
The WSWAS/IASME International Conferences

2004
Scale Invariant Classification Method of “Face” and “Not Face”.

KAZUHIRO HOTTA , TAKIO KURITA , TAKETOSHI MISHIMA
電子情報通信学会技術研究報告 97 ( 558 (PRMU97 217-239)) 155 -162

1998
Kernel-based Fisher’s Discriminant Analysis for Face and Non-Face Classification.

TAKIO KURITA , TOSHIHARU TAGUCHI , KAZUHIRO HOTTA , TAKETOSHI MISHIMA
電子情報通信学会技術研究報告 101 ( 569 (PRMU2001 206-221)) 17 -24

2002
Automatic factorization of biological signals by using Boltzmann non-negative matrix factorization

Kenji Watanabe , Akinori Hidaka , Takio Kurita
international joint conference on neural network 1122 -1128

3
2008
Fast training algorithm by Particle Swarm Optimization and random candidate selection for rectangular feature based boosted detector

Akinori Hidaka , Takio Kurita
international joint conference on neural network 1163 -1169

7
2008
Locality preserving multi-nominal logistic regression

Kenji Watanabe , Takio Kurita
international conference on pattern recognition 1 -4

6
2008
Face and non-face classification by multinomial logit model and kernel feature compound vectors

S. Hasegawa , T.I. Kurita
international conference on neural information processing 2 996 -1000

4
2002