M. Nechyba

发表

Human skill transfer: neural networks as learners and teachers

Yangsheng Xu, Michael C. Nechyba, M. Nechyba, 1995, Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots.

Learning to recognize time series: combining ARMA models with memory-based learning

Andrew W. Moore, Michael C. Nechyba, Kan Deng, 1997, Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'97. 'Towards New Computational Principles for Robotics and Automation'.

Stabilizing Human Control Strategies through Reinforcement Learning

J. Bagnell, M. Nechyba, 1999 .

PittPatt Face Detection and Tracking for the CLEAR 2007 Evaluation

Michael C. Nechyba, Henry Schneiderman, Louis Brandy, 2007, CLEAR.

Pneuman : A Humanoid Robot Implementation

M. Nechyba, E. Schwartz, Scott Nortman, 2002 .

Interpretation of Complex Scenes Using Dynamic Tree-Structure Belief Networks

S. Todorovic, M. Nechyba, 2005 .

Thing : A Robotic Hand with Realistic Thumb Pronation

M. Grimm, M. Nechyba, A. Arroyo, 2002 .

Using Locally Weighted Regression to Enhance Q-learning

M. Nechyba, A. Arroyo, Halim Aljibury, 2002 .

SubjuGator : A Highly Maneuverable , Intelligent Underwater Vehicle

M. Nechyba, A. Arroyo, J. Laine, 1999 .

Construction and Kinematic Analysis of an Anthropomorphic Mobile Robot

Scott Nortman, M. Nechyba, Scott Nortman, 2001 .

Robot Navigation and Textural Analysis

M. Nechyba, E. Schwartz, A. Arroyo, 2003 .

Development of a Sliding Mode Control System with Extended Kalman Filter Estimation for Subjugator 1

Kevin J. Walchko, M. Nechyba, D. Novick, 2003 .

HMM-BASED CLASSIFICATION OF MULTI-CHANNEL NEURAL SPIKE DATA

M. Nechyba, S. Darmanjian, K. Gugel, 2002 .

3D Tracking of Multiple People Using Their 2D Face Locations

Michael C. Nechyba, Aristodemos Pnevmatikakis, Nikos Katsarakis, 2007, AIAI.

Learning and validation of human control strategies

Yangsheng Xu, Michael Christian Nechyba, M. Nechyba, 1998 .

Yangsheng Xu, Michael C. Nechyba, M. Nechyba, 1997, Proceedings of International Conference on Robotics and Automation.

Sky/ground modeling for autonomous MAV flight

Peter G. Ifju, Michael C. Nechyba, Sinisa Todorovic, 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

Recent Progress in the Development of On-Board Electronics for Micro Air Vehicles

M. Nechyba, J. Grzywna, J. Plew, 2004 .

Vision-based control of micro-air-vehicles: progress and problems in estimation

A. Kurdila, M. Nechyba, R. Prazenica, 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

Vision-guided flight stability and control for micro air vehicles

Peter G. Ifju, Michael C. Nechyba, Scott M. Ettinger, 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

Rapid Development of Vision-Based Control for MAVs through a Virtual Flight Testbed

Michael C. Nechyba, Ashish Jain, Jason Grzywna, 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

Enabling Autonomous MAV Flight

Jason Plew, M. C. Nechyba, P. G. Ifju, 2022 .

Embedded Low Cost Inertial Navigation System 1

Michael C. Nechyba, Eric Schwartz, Kevin J. Walchko, 2003 .

Learning to Fly: Modeling Human Control Strategies in an Aerial Vehicle

Michael C. Nechyba, Stephen B. Stancliff, M. Nechyba, 2000 .

Towards Human Control Strategy Learning: Neural Network Approach With Variable Activation Functions.

Michael C. Nechyba, Yangsheng Xu, M. Nechyba, 1995 .

Coin Recognition using Vector Quantization and Histogram Modeling

Michael C. Nechyba, Joel D. Schipper, Joel Schipper, 2004 .

Independently Coupled HMM Switching Classifier for a Bimodel Brain-Machine Interface

Sung-Phil Kim, S. Darmanjian, J. Wessberg, 2006, 2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing.

Autonomous agent navigation based on textural analysis

Michael C. Nechyba, Rand C. Chandler, A. Antonio Arroyo, 2003 .

A statistical approach to 3d object detection applied to faces and cars

Takeo Kanade, Henry Schneiderman, Teck Khim Ng, 2000 .

Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Dynamic Trees for Unsupervised Segmentation and Matching of Image Regions

S. Todorovic, M. Nechyba, 2022 .

Interpretation of Complex Scenes Using Generative Dynamic-Structure Models

Michael C. Nechyba, Sinisa Todorovic, S. Todorovic, 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

Interpretation of complex scenes using dynamic tree-structure Bayesian networks

Michael C. Nechyba, Sinisa Todorovic, S. Todorovic, 2007, Comput. Vis. Image Underst..

Fuzzy inverse kinematic mapping: rule generation, efficiency, and implementation

Yangsheng Xu, Michael C. Nechyba, M. Nechyba, 1993, Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '93).

A vision system for intelligent mission profiles of micro air vehicles

Michael C. Nechyba, Sinisa Todorovic, S. Todorovic, 2004, IEEE Transactions on Vehicular Technology.

Development of a Sliding Mode Control System with Extended Kalman Filter Estimation for Subjugator 1

Kevin J. Walchko, M. Nechyba, D. Novick, 2003 .

CANCER PREDICTION USING PATTERN CLASSIFICATION OF MICROARRAY DATA

M. Nechyba, Sudhir Rao, V. Jayakumar, 2003 .