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Human Perception, Decision
Theory and Human Behavior
Decision Making
- Acuna, D., and Schrater, P. (2010) Structure
Learning in Human
Sequential Decision-making. PLOS Computational Biology PLoS Computional
Biol 6(12): e1001003.doi:10.1371/journal.pcbi.1001003
- Green, C.S., Benson, C., Kersten, D., and Schrater,
P. (2010)
Alterations in choice behavior by manipulations of world-model.
Proceedings of the National Academy of Sciences, 107(37) 16401-16406.
- Acuña,
D. & Schrater, P. (2008). Bayesian Modeling of Human Sequential
Decision-Making on the Multi-Armed Bandit Problem. In V. Sloutsky, B.
Love, & K. McRae (Eds.), Proceedings of the 30th Annual Conference
of the Cognitive Science Society. Washington, DC: Cognitive Science
Society. [Details]
- Schrater, P. and
Sundareswara, R. (2006) “Theory and Dynamics of Perceptual
Bistability”, Proceedings NIPS*2006. PDF
- Schrater, P.,
Sodomka, E., and Sloane, C. (2005). (POSTER) Decision Making with
Monetary Value Uncertainty., Society
for Judgment and Decision Making. (POSTER
PDF)
- Yuille,
A. L., Fang, F., Schrater, P., & Kersten, D. (2004). Human and
Ideal Observers for Detecting Image Curves. In S. Thrun, L. Saul &
B. Schoelkopf (Eds.), NIPS*2004. (PDF)
- Schrater, P.R.
(2003).
Bayesian data fusion and credit assignment in vision and fMRI data
analysis. Proc. SPIE Electronic Imaging, 5016, 24-35. (PDF)
- Schrater, P. R.,
and Kersten, D. (2000). How Optimal Depth Cue
Integration Depends on the Task. International Journal of Computer
Vision, 40(1): 71-89. PDF
- Schrater, P. R.,
and Kersten, D. (2000). Vision, Psychophysics, and
Bayes. In: (R. Rao, B. Olshausen, and M. Lewicki, Ed.) Statistical
Theories of the Brain, MIT Press. (PDF)
Vision and Motor Control
- Christopolous, V. and Schrater, P.
(2011) An optimal feedback control framework for grasping objects with
position uncertainty. Neural Computation.
- Battaglia PW, Di Luca M, Ernst MO, Schrater PR,
Machulla T, Kersten DJ (2010). Within- and cross-modal distance
information disambiguate visual size-change perception, PLoS
Computational Biology
- V.N. Christopoulos, Paul R. Schrater (2009),
“Grasping objects with environmentally induced position
uncertainty”, PLoS Comput Biol 5(10): e1000538.
- Doerschner, K., Kersten, D., and Schrater, P.R.
(2010) Rapid
classification of specular and diffuse reflection from image
velocities, Pattern Recognition,
online 15 September 2010, DOI:
10.1016/j.patcog.2010.09.007.
- Doerschner, K., Kersten, D., and Schrater, P.
(2009), Rapid
Classification of surface reflectance from image velocities. The 13th
International Conference on Computer Analysis of Images and Patterns,
02/09-04/09, Accepted for publication in the Springer LNCS series.
- Zang,
D., Doerschner, K., Schrater, P. (2009), Rapid inference of object
rigidity and reflectance using optic flow. The 13th International
Conference on Computer Analysis of Images and Patterns, 02/09-04/09,
Accepted for publication in the Springer LNCS series.
- Battaglia,
P.W., and Schrater, P.
(2007) Humans trade off viewing time and movement duration to
minimize
visuomotor variability in a fast reaching task. Journal of Neuroscience LINK
- Schlicht, E.,
Schrater, P.
(2007). Impact of coordinate transformation uncertainty on human
sensorimotor control. Journal of
Neurophysiology. LINK
- Schlicht,
E., Schrater, P. (2007). Reach-to-grasp trajectories adjust for
uncertainty in the location of visual targets, Experimental
Brain Research. LINK
- Schlicht, E.J., & Schrater, P.R.
Planning for
uncertainty: Bayesian model for human reach and grasp.
- Kallie, C.,
Schrater, P.,
Legge, G. (2006) Variability in stepping direction explains veering
behavior of blind walkers.
JEP:HPP 33(1) 183–200. (PDF)
- Battaglia, P. W.,
Schrater,
P., & Kersten, D. (2005). Auxiliary object knowledge
influences
visually-guided interception behavior. Proc. 2nd Symp. APGV,
pp. 145 - 152. (PDF)
- Hartung, B.,
Schrater, P.,
Kersten, D., Bülthoff, H., Franz, V.H. (2005) Is prior knowledge
of
object geometry used in visually guided reaching? Journal of Vision, http://journalofvision.org/5/6/2.
Paul
R. Schrater, Erik J.
Schlicht (2006) Internal models for object manipulation:
Determining
optimal contact locations. Department of Computer Science,
University
of Minnesota, Tech
Report 06-003.
Matoba, A. and Schrater,
P.
(2005) An Information-Theoretic Approach to Human Reach Path
Analysis, Computational Neural Systems 2005, Madison, WI.
Bistability
- Sundareswara, R.
and Schrater, P. (2007) Perceptual multistability predicted by
search model for Bayesian decisions, Journal of Vision http://www.journalofvision.org/8/5/
- Schrater, P. and
Sundareswara, R. (2006) “Theory and Dynamics of Perceptual
Bistability”, Proceedings NIPS*2006. PDF
Motion
Perception
- Carlson, T. A.,
Schrater, P.,
& He, S. (2006). Floating square illusion: Perceptual uncoupling of
static and dynamic objects in motion. Journal of Vision, 6(2),
132-144, http://journalofvision.org/6/2/4/
- Schrater, P.R.,
Knill, D.C., and Simoncelli,
E.P. (2001). Perceiving visual expansion without optic flow. Nature,
April, 12., 410, 816-819. PDF
- Schrater, P.R.,
Knill, D.C., and Simoncelli, E.P. (2000). Mechanisms of
visual motion detection. Nature Neuroscience, 3(1), 64-68. PDF
- Schrater P R, and
Simoncelli E
P (1998) Local velocity representation: evidence from motion
adaptation., Vision Research, 38, 3899-3912. PDF
Machine Vision/Learning
Acuña, D. & Schrater,
P. (2009). Improving Bayesian Reinforcement Learning using Transition
Abstraction. ICML/UAI/CLT Workshop on Abstraction in Reinforcement
Learning 2009.
Christopoulos, V. and
Schrater, P. Handling shape and contact uncertainty in grasping planar
objects. To appear: International Conference on Intelligent Robots and
Systems (IROS'07). PDF preprint
Tracking
- Veeraraghavan, H.,
Schrater,
P.,R., Papanikolopoulos, N. (2007) Learning Dynamic Event Descriptions
in Image Sequences. IEEE Proceedings on Computer Vision and Pattern
Recognition, June, 2007. (PDF
preprint)
- Veeraraghavan,
Harini,
Schrater, Paul and Papanikolopoulos, Nikos (2006). Robust Target
Detection and Tracking through Integration of Motion, Color, and
Geometry, Compuier Vision and Image Understanding, 103(2) 2006,
121-138. (PDF)
- Veeraraghavan, H.,
Schrater,
P.,R., Papanikolopoulos, N. (2006) Adaptive Geometric Templates for
Feature Matching. Proceedings 2006 IEEE International Conference
on
Robotics and Automation 2006 (ICRA-2006), May 15-19, 2006. pp.
3393-3398. (PDF)
- Veeraraghavan, H.,
Schrater,
P.,R., Papanikolopoulos, N. (2005) Switching Kalman Filter-Based
Approach for Tracking and Event Detection at Traffic Intersections:
Proceedings of the 2005 IEEE International Symposium on Intelligent
Control, pp. 1167-72. (PDF)
- Veeraraghavan, H.,
Atev, S., Bird, N.,
Schrater, P, Papanikolopoulos, N. (2005). Driver Activity
Monitoring
through Supervised and Unsupervised Learning. Proceedings 18th IEEE
International Conference on Intelligent Transportation Systems, Sept.
17-20, 2006, pp. 1340-45. (PDF)
- Veeraraghavan, H.,
Papanikolopoulos, N., Schrater, P. (2006) Deterministic sampling-based
switching kalman filtering for vehicle tracking. Proceedings 2006
IEEE
Conference on Intelligent Transportation Systems Sept. 17-20, 2006. pp.
1340-1345. (PDF)
Camera
Calibration/Placement
- Sundareswara, R., and Schrater, P. (2010) Bayesian
discounting of
camera parameter uncertainty for optimal 3D reconstruction from images,
Computer Vision and Image Understanding, In Press, Corrected Proof,
Available online 26 August 2010, ISSN 1077-3142, DOI:
10.1016/j.cviu.2010.07.001.
- Bodor, R.,
Drenner, A.,
Janssen, M., Schrater, P., and Papanikolopoulos, N. (2005),
"Mobile
Camera Positioning to Optimize the Observability of Human Activity
Recognition Tasks", 2005 IEEE/RSJ International Conference on
International Conference on Intelligent Robotics and Systems, 2-6 Aug.
2005, pp. 1564-1569. (PDF)
- Bodor, R.,
Schrater, P.,
Papanikolopoulos, N. (2005) Multi-Camera Positioning to Optimize
Task
Observability. Proceedings, IEEE Conference on Advanced Video and
Signal-Based Surveillance 2005, Sept. 15-16, 552-557. (PDF)
- Sundareswara, R.,
and Schrater, P. R.
(2005). Bayesian Modelling of Camera Calibration and Reconstruction.
Fifth International Conference on 3-D Digital Imaging and Modeling,
2005, pp. 394- 401, Ottawa, Canada June 13 - June 16th 2005. (PDF)
Temporal
sequence prediction/learning
- W. Ketter, J. Collins, M. Gini, A. Gupta, and
P. Schrater
(2008), “Detecting and Forecasting Economic Regimes in Automated
Exchanges”, To Appear: Decision Support Systems. (TECH REPORT PREPRINT)
- Ketter, W.,
Collins, J., Gini,
M., Gupta, A., and Schrater, P.
(2007). A Predictive Empirical Model for Pricing and Resource
Allocation Decisions. In International Conference on Electronic
Commerce, Minneapolis, MN, August 2007. (PDF)
- Ketter, W.,
Collins, J., Gini,
M., Gupta, A., and Schrater, P. (2006), Strategic Sales Management
Guided By
Economic Regimes. In Eric van Heck et al., editors, Edited Volume
of
the 2nd Small Business Network Initiative Discovery Event, Springer
Verlag, 2006. (PDF)
- Ketter, W.,
Collins, J., Gini,
M., Gupta, A., and Schrater, P. (2005) A Computational Approach to
Predicting Economic Regimes in Automated Exchanges,'' Fifteenth
Annual
Workshop on Information Technologies and Systems, pp. 147-152, Las
Vegas, Nevada, USA, December 2005 (PDF)
- Ketter, W.,
Collins, J., Gini,
M., Gupta, A., and Schrater, P. (2005) Identifying and Forecasting
Economic Regimes in TAC SCM, TADA-05, IJCAI-05 Workshop on Trading
Agent Design and Analysis, pp. 53–60, Edinburgh, Scotland, Aug.
1, 2005. (PDF)
- Steven Jensen,
Daniel Boley,
Maria Gini and Paul Schrater (2005), "Rapid on-line temporal sequence
prediction by an adaptive agent", In Proceedings of the Fourth
international Joint Conference on Autonomous Agents and Multiagent
Systems (The Netherlands, July 25 - 29, 2005). AAMAS '05. ACM Press,
New York, NY, 67-73. (PDF)
- Steven Jensen,
Daniel Boley,
Maria Gini and Paul Schrater (2005), "Non-stationary Policy
Learning
in 2-player Zero Sum Games" Non-stationary Policy Learning in 2-player
Zero Sum Games. In Twentieth National Conf. on Artificial Intelligence,
pp. 789–794, 2005. (PDF)
Brain Imaging
- Olman, C. A.,
Ugurbil, K.,
Schrater, P., & Kersten, D. (2004). BOLD fMRI and psychophysical
measurements of contrast response to broadband images. Vision Res,
44(7), 669-683. (PDF)
- Murray, S.,
Schrater, P. and
Kersten, D. (2004) Perceptual grouping and the interactions between
visual cortical areas.
Neural Networks, 17, 695-705. (PDF)
- Carlson, Thomas
A., Schrater, P.R., and He, Sheng (2002). Patterns of
activation in the categorical representation of objects: A new
perspective in functional imaging analysis. Journal of Cognitive
Neuroscience. 15(5): 704-717. (LINK)
- Murray,
Scott, O., Kersten, D., Olshausen, B., Schrater, P., and Woods, D.
(2002) Shape perception reduces activity in human primary visual
cortex. Proc. Nat’l Acad. Sci., November 12, 2002, vol. 99 u no.
23, pp. 15164–15169. (LINK)
Tech
Reports
Miscellaneous
Christopoulos, V.N.,
Lilja, D.J., Schrater, P.R., Georgopoulos, A.(2008) "Independent
Component Analysis and Evolutionary Algorithms for Building
Representative Benchmark Subsets," IEEE International Symposium on
Performance Analysis of Systems and software, 2008. ISPASS 2008,
pp.169-178, 20-22 April 2008.
Shekhar, S., Schrater,
P.R.,
Vatsavai, R., Wu, W., and Chawla, S. (2002). Spatial Contextual
Classification and Prediction Models for Mining Geospatial Data.
IEEE
Transactions on Multimedia and Multimedia Database, 4(2),
174-188. (PDF)
Eeckhout,
L., Sundareswara,
R., Yiz, J., Lilja, D.J. and Schrater, P. (2005). Accurate
Statistical
Approaches for Generating Representative Workload Compositions.
Proceedings of the 2005 IEEE International Workload Characterization
Symposium, pp. 56-66. (PDF)
Sundareswara,
R., and
Schrater, P. R. (2003). Extensible Point Location Algorithm.
Proceedings of 2003 International Conference on Geometrical Modeling
and Graphics, pp. 84-89, July 16-18, 2003 (PDF)
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