Osamu Hasegawa

发表

A Common-Neural-Pattern Based Reasoning for Mobile Robot Cognitive Mapping

Aram Kawewong, Yutaro Honda, Manabu Tsuboyama, 2008, ICONIP.

An associative memory system for incremental learning and temporal sequence

Hui Yu, Shen Furao, Osamu Hasegawa, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

An Online Incremental Learning Vector Quantization

Ye Xu, Shen Furao, Jinxi Zhao, 2009, PAKDD.

PS-51-4 Electrophysiological assessment of diabetic polyneuropathy: comparison among motor, sensory and microneurographical conduction studies

Osamu Hasegawa, Atsushi Komiyama, R. Kurita, 1995 .

LF-013 Reasoning Machine for Pattern-based Propositional Logic

Manabu Tsuboyama, Osamu Hasegawa, Akihito Sudo, 2007 .

Developmental Word Acquisition and Grammar Learning by Humanoid Robots Through a Self-Organizing Incremental Neural Network

Osamu Hasegawa, Xiaoyuan He, Tomotaka Ogura, 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Two-Pass Clustering Technique for Orientation-Invariant and Language-Independent Text Localization

Osamu Hasegawa, Chayut Wiwatcharakoses, O. Hasegawa, 2017, 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Perception and Action State Space Construction Method with Dynamics-based Self-organizing Incremental Neural Network on Subsumption Architecture

Fumiaki Saitoh, Osamu Hasegawa, 2010 .

3D Object recognition using a voting algorithm in a real-world environment

Keisuke Takada, Osamu Hasegawa, Sirinart Tangruamsub, 2011, 2011 IEEE Workshop on Applications of Computer Vision (WACV).

Time Series Prediction of Tropical Storm Trajectory Using Self-Organizing Incremental Neural Networks and Error Evaluation

Wonjik Kim, Osamu Hasegawa, O. Hasegawa, 2018, J. Adv. Comput. Intell. Intell. Informatics.

An Incremental Neural Network for Online Supervised Learning and Topology Learning

Shen Furao, Osamu Hasegawa, Youki Kamiya, 2007, J. Adv. Comput. Intell. Intell. Informatics.

Nonparametric Density Estimation Based on Self-Organizing Incremental Neural Network for Large Noisy Data

Osamu Hasegawa, Yoshihiro Nakamura, 2017, IEEE Transactions on Neural Networks and Learning Systems.

New Recognition and Identification Method for Micro-Organisms by Expert System Driven Image Processing

Toshio Fukuda, Osamu Hasegawa, T. Fukuda, 1989 .

A Vision System that Recognizes Objects on General Streets

Takeo Kanade, Osamu Hasegawa, 2002, MVA.

Realtime synthesis of moving human-like agent in response to user's moving image

Mitsuru Ishizuka, Osamu Hasegawa, C.-W. Lee, 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. IV. Conference D: Architectures for Vision and Pattern Recognition,.

A kernel logit approach for face and non-face classification

Takio Kurita, Osamu Hasegawa, 2002, Sixth IEEE Workshop on Applications of Computer Vision, 2002. (WACV 2002). Proceedings..

A Self-controlled Incremental Method for Vector Quantization

Shen Furao, Osamu Hasegawa, O. Hasegawa, 2004 .

Are Listeners Paying Attention to the Hand Gestures of an Anthropomorphic Agent? An Evaluation Using a Gaze Tracking Method

Satoru Hayamizu, Hideaki Takahashi, Osamu Hasegawa, 1997, Gesture Workshop.

Online incremental attribute-based zero-shot learning

Aram Kawewong, Osamu Hasegawa, Sirinart Tangruamsub, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

3D texture classification by using pre-testing stage and reliability table

Aram Kawewong, Osamu Hasegawa, O. Hasegawa, 2005, IEEE International Conference on Image Processing 2005.

“ETL Spoken Dialog Corpus, Town Guidance Task, Japanese (1998)”-

Kazuyo Tanaka, Satoru Hayamizu, Katunobu Itou, 2002 .

Online Semi-Supervised Active Learning Method Using Competitive Neural Network

Osamu Hasegawa, Keisuke Sakurai, 2007 .

Self-Organizing Incremental Neural Network (SOINN) as a Mechanism for Motor Babbling and Sensory-Motor Learning in Developmental Robotics

Osamu Hasegawa, Tarek Najjar, 2013, IWANN.

Creature recognition and identification by image processing based on expert system

Toshio Fukuda, Osamu Hasegawa, 1989, Conference Proceedings., IEEE International Conference on Systems, Man and Cybernetics.

A real-time visual interactive system between finger signs and synthesized human facial images employing a transputer-based parallel computer

Mitsuru Ishizuka, Osamu Hasegawa, C.-W. Lee, 1992 .

Self-Organizing Incremental Associative Memory-Based Robot Navigation

Aram Kawewong, Manabu Tsuboyama, Osamu Hasegawa, 2012, IEICE Trans. Inf. Syst..

Animation synthesis by observation and learning

Hiroshi Nagahashi, Ken'ichi Morooka, Osamu Hasegawa, 2003, Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Automation for the New Millennium (Cat. No.03EX694).

Home Robots, Learn by Themselves

Osamu Hasegawa, Daiki Kimura, O. Hasegawa, 2013, HCI.

Associative Memory for Online Incremental Learning in Noisy Environments

Osamu Hasegawa, Akihito Sudo, Akihiro Sato, 2007, 2007 International Joint Conference on Neural Networks.

A Load-Balancing Self-Organizing Incremental Neural Network

Xiong Xiao, Hongwei Zhang, Osamu Hasegawa, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Developmental Word Acquisition through Self-Organized Incremental Neural Network with A Humanoid Robot

Osamu Hasegawa, Shogo Okada, Xiaoyuan He, 2007 .

Active Selection of Labeled Data Using Online Competitive Neural Network

Osamu Hasegawa, Keisuke Sakurai, 2007 .

A Fast BMU Search for Support Vector Machine

Osamu Hasegawa, Wataru Kasai, Yutaro Tobe, 2009, ICANN.

An adaptive incremental LBG for vector quantization

Shen Furao, Osamu Hasegawa, O. Hasegawa, 2006, Neural Networks.

Extension of higher order local autocorrelation features

Osamu Hasegawa, Takahiro Toyoda, Takahiro Toyoda, 2005, Pattern Recognit..

The Methodology of State Space Construction with Self-organizing Incremental Neural Network on Subsumption Architecture

Fumiaki Saitoh, Osamu Hasegawa, 2009 .

Classifying 3D Real-World Texture Images by Combining Maximum Response 8, 4th Order of Auto Correlation and Colortons

Aram Kawewong, Osamu Hasegawa, O. Hasegawa, 2007, J. Adv. Comput. Intell. Intell. Informatics.

3-D image recognition for distorted and cracked objects: a proposal of six-surface-image integrating method

Toshio Fukuda, Osamu Hasegawa, T. Fukuda, 1992 .

Wide-Baseline Visible Features for Highly Dynamic Scene Recognition

Aram Kawewong, Osamu Hasegawa, Sirinart Tangruamsub, 2009, CAIP.

An Online Incremental Semi-Supervised Learning Method

Hui Yu, Shen Furao, Osamu Hasegawa, 2010, J. Adv. Comput. Intell. Intell. Informatics.

Fast and Incremental Attribute Transferring and Classifying System for Detecting Unseen Object Classes

Aram Kawewong, Osamu Hasegawa, 2010, ICANN.

Behavior Learning and Animation Synthesis of Falling Flat Objects

Hiroshi Nagahashi, Osamu Hasegawa, Kohta Aoki, 2004, J. Adv. Comput. Intell. Intell. Informatics.

A general associative memory based on self-organizing incremental neural network

Shen Furao, Osamu Hasegawa, Wataru Kasai, 2013, Neurocomputing.

Learning of Place Cells and Autonomous Locomotion Using Semi-Supervised Neural Network

Aram Kawewong, Yutaro Honda, Manabu Tsuboyama, 2010 .

Improved Kernel Density Estimation Self-organizing Incremental Neural Network to Perform Big Data Analysis

Wonjik Kim, Osamu Hasegawa, 2018, ICONIP.

Unguided Robot Navigation Using Continuous Action Space

Aram Kawewong, Manabu Tsuboyama, Osamu Hasegawa, 2010, ICANN.

Guessing an Unknown Class by Online Fast Attributes Learning and Transfer

Osamu Hasegawa, Daiki Kimura, Pichai Kankuekul, 2014 .

Learning Quadcopter Maneuvers with Concurrent Methods of Policy Optimization

Osamu Hasegawa, Pei-Hua Huang, O. Hasegawa, 2017, J. Adv. Comput. Intell. Intell. Informatics.

Vision-based mobile robot's SLAM and navigation in crowded environments

Osamu Hasegawa, Hiroshi Morioka, Sangkyu Yi, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

How to Use the SOINN Software: User's Guide (Version 1.0)

Shen Furao, Osamu Hasegawa, Naoya Makibuchi, 2010, ICANN.

A Proposal of Stock Price Predictor Using Associated Memory

Osamu Hasegawa, Chenli Zhang, Shigeki Nagaya, 2011, J. Adv. Comput. Intell. Intell. Informatics.

Fast online incremental transfer learning for unseen object classification using self-organizing incremental neural networks

Aram Kawewong, Osamu Hasegawa, Sirinart Tangruamsub, 2011, The 2011 International Joint Conference on Neural Networks.

Developmental Word Grounding Through a Growing Neural Network With a Humanoid Robot

Osamu Hasegawa, Xiaoyuan He, Ryo Kojima, 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Osamu Hasegawa, Putti Thaipumi, 2017, RiTA.

On-line learning of sequence data based on Self-Organizing Incremental Neural Network

Osamu Hasegawa, Shogo Okada, S. Okada, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Classification of Temporal Data Based on Self-organizing Incremental Neural Network

Osamu Hasegawa, Shogo Okada, S. Okada, 2007, ICANN.

A prototype of goldfish software robot with real-time response function by a parallel computer

Mitsuru Ishizuka, Osamu Hasegawa, W. Wongwarawipat, 1992, [1992] Proceedings IEEE International Workshop on Robot and Human Communication.

A Nearest-Neighbour Method with Self-organizing Incremental Neural Network

Shen Furao, Osamu Hasegawa, 2007, 2007 International Joint Conference on Neural Networks.

Interactive learning and management of visual information via human-like software robot

Katsuhiko Sakaue, Satoru Hayamizu, Osamu Hasegawa, 2000, New Generation Computing.

Generation of Adapting Behavior by Multi-Robot using Parameter Searching on Subsumption Architecture

Osamu Hasegawa, Shogo Okada, Yoshiko Ito, 2007 .

A fast no search fractal image coding method

Shen Furao, Osamu Hasegawa, 2004, Signal Process. Image Commun..

A Non-Linear Manifold Alignment Approach to Robot Learning from Demonstrations

Benjamin Rosman, Osamu Hasegawa, Ndivhuwo Makondo, 2018, J. Robotics Mechatronics.

A Multimodal Anthropomorphic Agent which Learns Visual Information Through Interactions

Kazuyo Tanaka, Katsuhiko Sakaue, Satoru Hayamizu, 1996 .

Accelerating Model Learning with Inter-Robot Knowledge Transfer

Benjamin Rosman, Osamu Hasegawa, Ndivhuwo Makondo, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

A Self-organized Incremental Network for Online Supervised Learning and Topology Learning

Shen Furao, Osamu Hasegawa, Youki Kamiya, 2006 .

A Multi-class Pattern Recognition Method by Combined Use of Multinomial Logit Model and K-Nearest Neighbor Rule

Takio Kurita, Osamu Hasegawa, 2002, MVA.

An incremental online semi-supervised active learning algorithm based on self-organizing incremental neural network

Hui Yu, Shen Furao, Osamu Hasegawa, 2011, Neural Computing and Applications.

Detecting Faces in Low-resolution Images

Shinji Hayashi, Osamu Hasegawa, 2005, MVA.

A System for Video Surveillance and Monitoring

Takeo Kanade, Hironobu Fujiyoshi, Robert T. Collins, 2000 .

Robust Fast Online Multivariate Non-parametric Density Estimator

Osamu Hasegawa, Yoshihiro Nakamura, 2013, ICONIP.

A visual-SLAM for first person vision and mobile robots

Osamu Hasegawa, Takahiro Terashima, O. Hasegawa, 2017, 2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA).

Density Estimation Method Based on Self-organizing Incremental Neural Networks and Error Estimation

Xiong Xiao, Hongwei Zhang, Osamu Hasegawa, 2013, ICONIP.

A Japanese spontaneous speech corpus collected using automatically inferencing Wizard of OZ system.

Kazuyo Tanaka, Satoru Hayamizu, Katunobu Itou, 1999 .

An effective fractal image coding method without search

Shen Furao, Osamu Hasegawa, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Online Knowledge Acquisition and General Problem Solving in a Real World by Humanoid Robots

Shen Furao, Osamu Hasegawa, Naoya Makibuchi, 2010, ICANN.

A Growing Neural Network for Online Unsupervised Learning

Shen Furao, Osamu Hasegawa, 2004, J. Adv. Comput. Intell. Intell. Informatics.

Learning and Recognition of Time-Series Data Based on Self-Organizing Incremental Neural Network

Osamu Hasegawa, Shogo Okada, S. Okada, 2008 .

Processing of Face Images and Its Applications

Masahide Kaneko, Osamu Hasegawa, O. Hasegawa, 1999 .

An Online Semi-Supervised Clustering Algorithm Based on a Self-organizing Incremental Neural Network

Shen Furao, Osamu Hasegawa, Youki Kamiya, 2007, 2007 International Joint Conference on Neural Networks.

Real-time synthesis of a humanlike agent in response to the user's moving image

Mitsuru Ishizuka, Chil-Woo Lee, Osamu Hasegawa, 2005, Machine Vision and Applications.

Associative Memory for Online Learning in Noisy Environments Using Self-Organizing Incremental Neural Network

Osamu Hasegawa, Akihito Sudo, Akihiro Sato, 2009, IEEE Transactions on Neural Networks.

A Detection Technique for Degraded Face Images

Shinji Hayashi, Osamu Hasegawa, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Hebbian Network of Self-Organizing Receptive Field Neurons as Associative Incremental Learner

Osamu Hasegawa, Tarek Najjar, O. Hasegawa, 2015, Int. J. Comput. Intell. Appl..

Motion recognition based on Dynamic-Time Warping method with Self-Organizing Incremental Neural Network

Osamu Hasegawa, Shogo Okada, 2008, 2008 19th International Conference on Pattern Recognition.

An Experimental Multimodal Disputation System

Kiyoo Itoh, Mitsuru Ishizuka, Hiroshi Dohi, 1997 .

Real-time moving human face synthesis using a parallel computer network

Mitsuru Ishizuka, Osamu Hasegawa, C.-W. Lee, 1991, Proceedings IECON '91: 1991 International Conference on Industrial Electronics, Control and Instrumentation.

Prediction of Tropical Storms Using Self-organizing Incremental Neural Networks and Error Evaluation

Wonjik Kim, Osamu Hasegawa, 2017, ICONIP.

Real-time Moving Image Synthesis of Human Facial Expressions Based on Hand Shape Recognition

Mitsuru Ishizuka, Osamu Hasegawa, C.-W. Lee, 1992 .

Machine Learning Approaches for Time-Series Data Based on Self-Organizing Incremental Neural Network

Toyoaki Nishida, Osamu Hasegawa, Shogo Okada, 2010, ICANN.

Creature Recognition and Identitication by Image Processing Based on Expert System for Control of a Micromanipulator

Toshio Fukuda, Osamu Hasegawa, 1990 .

Pattern-Based Reasoning System Using Self-incremental Neural Network for Propositional Logic

Manabu Tsuboyama, Osamu Hasegawa, Akihito Sudo, 2007, ICONIP.

Special issue on point of contact between bio-technology and precision engineering. Image processing and recognition in bio-technology areas.

Toshio Fukuda, Osamu Hasegawa, T. Fukuda, 1990 .

Handwritten alphabet and digit character recognition using skeleton pattern mapping with structural constraints

Kenji Nakayama, Osamu Hasegawa, Carlos E. Hernandez, 1993 .

A Vision-Based Method for Recognizing Non-manual Information in Japanese Sign Language

Ming Xu, Katsuhiko Sakaue, Masaru Takeuchi, 2000, ICMI.

D-12-79 A Study on Dynamic Pattern Recognition and Synthesis

Osamu Hasegawa, Shogo Okada, S. Okada, 2004 .

A Method for Monitoring Activities of Multiple Objects by Using Stochastic Model

Takeo Kanade, Hironobu Fujiyoshi, Osamu Hasegawa, 2000, MVA.

PIRF-Nav 2: Speeded-up online and incremental appearance-based SLAM in an indoor environment

Aram Kawewong, Osamu Hasegawa, Noppharit Tongprasit, 2011, 2011 IEEE Workshop on Applications of Computer Vision (WACV).

An Associated-Memory-Based Stock Price Predictor

Osamu Hasegawa, Chenli Zhang, Shigeki Nagaya, 2009, ICANN.

Incremental Learning Framework for Indoor Scene Recognition

Aram Kawewong, Osamu Hasegawa, Rapeeporn Pimup, 2013, AAAI.

An incremental network for on-line unsupervised classification and topology learning

Shen Furao, Osamu Hasegawa, O. Hasegawa, 2006, Neural Networks.

An Incremental Neural Network for Non-stationary Unsupervised Learning

Shen Furao, Osamu Hasegawa, 2004, ICONIP.

マイクロマニプレータの制御 : 第2報, 画像セグメント法による生物の認識と同定

Toshio Fukuda, Osamu Hasegawa, T. Fukuda, 1989 .

10208 Interactive Incremental Concept-Learning System by Means of a Self-Organizing Neural Network Using Audio-Visual Information

Osamu Hasegawa, Ryo Kojima, O. Hasegawa, 2005 .

Incremental Learning, Recognition, and Generation of Time-Series Patterns Based on Self-Organizing Segmentation

Osamu Hasegawa, Shogo Okada, S. Okada, 2006, J. Adv. Comput. Intell. Intell. Informatics.

An enhanced self-organizing incremental neural network for online unsupervised learning

Shen Furao, Osamu Hasegawa, Tomotaka Ogura, 2007, Neural Networks.

Realtime parallel and cooperative recognition of human face for a naturalistic visual human interface

Mitsuru Ishizuka, Kazuhiko Yokosawa, Osamu Hasegawa, 1994, Systems and Computers in Japan.

Simultaneous Forecasting of Meteorological Data Based on a Self-Organizing Incremental Neural Network

Wonjik Kim, Osamu Hasegawa, O. Hasegawa, 2018, J. Adv. Comput. Intell. Intell. Informatics.

PS-2-2 Relationship between amplitude of the nerve action potentials obtained by intraneural neurography and that by conventional surface neurography: effects of the depth of the nerve

Osamu Hasegawa, R. Kurita, Y Nara, 1995 .

Estimating multimodal attributes for unknown objects

Osamu Hasegawa, Daiki Kimura, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Online and Incremental Appearance-based SLAM in Highly Dynamic Environments

Aram Kawewong, Osamu Hasegawa, Sirinart Tangruamsub, 2011, Int. J. Robotics Res..

Associative Memory System for Incremental Learning in Noisy Environment Using Self-Organizing Incremental Neural Network

Osamu Hasegawa, Akihito Sudo, Akihiro Satou, 2008 .

Random Field Model for Integration of Local Information and Global Information

Osamu Hasegawa, Takahiro Toyoda, Takahiro Toyoda, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Mobile robot vision-based navigation using self-organizing and incremental neural networks

Aram Kawewong, Manabu Tsuboyama, Osamu Hasegawa, 2009, 2009 International Joint Conference on Neural Networks.

User-independent online gesture recognition by relative motion extraction

Bisser Raytchev, Osamu Hasegawa, Nobuyuki Otsu, 2000, Pattern Recognit. Lett..

Collecting and analyzing nonverbal elements for maintenance of dialog using a wizard of oz simulation

Kazuyo Tanaka, Satoru Hayamizu, Katunobu Itou, 1994, ICSLP.

Processing of facial information by computer

Masahide Kaneko, Shigeo Morishima, Osamu Hasegawa, 1998 .

D-12-77 A Growing Network for On-line Unsupervised Learning

Shen Furao, Osamu Hasegawa, O. Hasegawa, 2004 .

Data Partitioning Technique for Online and Incremental Visual SLAM

Aram Kawewong, Osamu Hasegawa, Noppharit Tongprasit, 2009, ICONIP.

Active Agent Oriented Multimodal Interface System

Kazuyo Tanaka, Kazuhiko Yamamoto, Satoru Hayamizu, 1995, IJCAI.

Face Detection in Low-Resolution Images

Shinji Hayashi, Osamu Hasegawa, 2005, ISVC.

Visual software agent built on transputer network with visual interface

Mitsuru Ishizuka, Hiroshi Dohi, Osamu Hasegawa, 1991 .

A Multidirectional Associative Memory Based on Self-organizing Incremental Neural Network

Hui Yu, Shen Furao, Osamu Hasegawa, 2010, ICONIP.

A fast online incremental learning method for object detection and pose classification using voting and combined appearance modeling

Keisuke Takada, Osamu Hasegawa, Sirinart Tangruamsub, 2012, Signal Process. Image Commun..

An Incremental Learning Mechanism for Online Unsupervised Classification

Osamu Hasegawa, Tomotaka Ogura, Furao Shen, 2007 .

Robust Face Detection for Low-Resolution Images

Shinji Hayashi, Osamu Hasegawa, 2006, J. Adv. Comput. Intell. Intell. Informatics.

Real-time parallel and cooperative recognition of facial images for an interactive visual human interface

Mitsuru Ishizuka, Kazuhiko Yokosawa, Osamu Hasegawa, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 2 - Conference B: Computer Vision & Image Processing. (Cat. No.94CH3440-5).

Position-Invariant Robust Features for Long-Term Recognition of Dynamic Outdoor Scenes

Aram Kawewong, Osamu Hasegawa, Sirinart Tangruamsub, 2010, IEICE Trans. Inf. Syst..

A speeded-up online incremental vision-based loop-closure detection for long-term SLAM

Aram Kawewong, Osamu Hasegawa, Noppharit Tongprasit, 2013, Adv. Robotics.

Online Gesture Recognition Using Predicative Statistical Feature Extraction and Multivariate Analysis

Bisser Raytchev, Osamu Hasegawa, Nobuyuki Otsu, 1998, MVA.

Fast and Incremental Neural Associative Memory Based Approach for Adaptive Open-Loop Structural Control in High-Rise Buildings

Fumio Sato, Aram Kawewong, Osamu Hasegawa, 2011, ICONIP.

State Space Construction Method with Self-organizing Map in a Reinforcement Learning System Based on Profit Sharing

Fumiaki Saitoh, Osamu Hasegawa, 2008 .

Texture Structure Classification and Depth Estimation using Multi-Scale Local Autocorrelation Features

Hiroshi Nagahashi, Osamu Hasegawa, Yousun Kang, 2003, 2003 Conference on Computer Vision and Pattern Recognition Workshop.

PIRF-Nav 2.0: Fast and online incremental appearance-based loop-closure detection in an indoor environment

Aram Kawewong, Osamu Hasegawa, Noppharit Tongprasit, 2011, Robotics Auton. Syst..

An on-line learning mechanism for unsupervised classification and topology representation

Shen Furao, Osamu Hasegawa, O. Hasegawa, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

An Online Semi-supervised Active Learning Algorithm with Self-organiing Incremental Neural Network

Shen Furao, Osamu Hasegawa, Keisuke Sakurai, 2007, 2007 International Joint Conference on Neural Networks.

Realistic image synthesis of a deformable living thing based on motion understanding

Mitsuru Ishizuka, Hiroshi Dohi, Chil-Woo Lee, 1991, J. Vis. Commun. Image Represent..

Self-Organizing Incremental Neural Network and Its Application

Shen Furao, Osamu Hasegawa, O. Hasegawa, 2010, ICANN.

Reasoning on the Self-Organizing Incremental Associative Memory for Online Robot Path Planning

Aram Kawewong, Yutaro Honda, Manabu Tsuboyama, 2010, IEICE Trans. Inf. Syst..

An online incremental learning pattern-based reasoning system

Shen Furao, Osamu Hasegawa, Akihito Sudo, 2010, Neural Networks.

Associative-memory-recall-based control system for learning hovering manoeuvres

Osamu Hasegawa, Pei-Hua Huang, 2015, IJCNN.

Ultra-fast multimodal and online transfer learning on humanoid robots

Osamu Hasegawa, Daiki Kimura, Ryutaro Nishimura, 2013, 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Integration of Top-down and Bottom-up Information for Image Labeling

Osamu Hasegawa, Takahiro Toyoda, Keisuke Tagami, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

A fast nearest neighbor classifier based on self-organizing incremental neural network

Shen Furao, Osamu Hasegawa, O. Hasegawa, 2008, Neural Networks.

Trajectory learning from human demonstrations via manifold mapping

Benjamin Rosman, Osamu Hasegawa, Ndivhuwo Makondo, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

RWC multimodal database for interactions by integration of spoken language and visual information

Kazuyo Tanaka, Kazuhiko Yamamoto, Katsuhiko Sakaue, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

A Robust Visual-Feature-Extraction Method for Simultaneous Localization and Mapping in Public Outdoor Environment

Osamu Hasegawa, Gangchen Hua, 2015, J. Adv. Comput. Intell. Intell. Informatics.

Knowledge transfer for learning robot models via Local Procrustes Analysis

Benjamin Rosman, Osamu Hasegawa, Ndivhuwo Makondo, 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

Editorial: Special Issue on Pattern Recognition

Osamu Hasegawa, 2004, J. Adv. Comput. Intell. Intell. Informatics.

Unsupervised Learning, Recognition, and Generation of Time-series Patterns Based on Self-Organizing Segmentation

Osamu Hasegawa, Shogo Okada, 2006, ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication.

Fractal Image Coding with Simulated Annealing Search

Shen Furao, Osamu Hasegawa, 2005, J. Adv. Comput. Intell. Intell. Informatics.

Fast online incremental approach of unseen place classification using disjoint-text attribute prediction

Aram Kawewong, Osamu Hasegawa, Rapeeporn Pimup, 2012, 2012 19th IEEE International Conference on Image Processing.

Learning-based Face Tracking and Pose Estimation in Unconstrained Environments

Katsuhiko Sakaue, Takio Kurita, Ming Xu, 2000 .

Type classification, color estimation, and specific target detection of moving targets on public streets

Takeo Kanade, Osamu Hasegawa, T. Kanade, 2005, Machine Vision and Applications.

3-D image processing and grasping planning expert system for distorted objects

Toshio Fukuda, Osamu Hasegawa, T. Fukuda, 1989, 15th Annual Conference of IEEE Industrial Electronics Society.

Error analysis and topology modifications of a self-organizing incremental neural network

Shiming Ge, Xiaoyu Wang, Osamu Hasegawa, 2018, SAC.

Developmental cognitive map learning and behavior acquisition by a mobile robot through a self-organizing incremental neural network

Osamu Hasegawa, Furao Shen, F. Saitoh, 2009, 2009 International Conference on Mechatronics and Automation.

Common-patterns based mapping for robot navigation

Aram Kawewong, Yutaro Honda, Manabu Tsuboyama, 2009, 2008 IEEE International Conference on Robotics and Biomimetics.

User-independent gesture recognition by relative-motion extraction and discriminant analysis

Bisser Raytchev, Osamu Hasegawa, Nobuyuki Otsu, 2000, New Generation Computing.

Adaptive density estimation based on self-organizing incremental neural network using Gaussian process

Xiaoyu Wang, Osamu Hasegawa, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

To obtain orthogonal feature extraction using training data selection

Ye Xu, Shen Furao, Jinxi Zhao, 2009, CIKM.

Hand Gestures of an Anthropomorphic Agent: Listeners' Eye Fixation and Comprehension

Satoru Hayamizu, Osamu Hasegawa, Shuichi Nobe, 2000 .