Path: utzoo!utgpu!jarvis.csri.toronto.edu!rutgers!ucsd!ucbvax!ADS.COM!Vision-List-Request
From: Vision-List-Request@ADS.COM (Vision-List moderator Phil Kahn)
Newsgroups: comp.ai.vision
Subject: Vision-List delayed redistribution
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Date: 25 Sep 89 20:40:06 GMT
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Vision-List Digest	Mon Sep 25 12:40:06 PDT 89

 - Send submissions to Vision-List@ADS.COM
 - Send requests for list membership to Vision-List-Request@ADS.COM

Today's Topics:

 New Service for Vision List: Relevant Journal Table of Contents
 BBS Call for Commentators: Visual Search & Complexity
 Subject: street address for IEEE CAIA-90 submissions
 7th Intern. Conf. on Machine Learning
 IEEE Jrnl of Robotics and Automation  Aug 89
 IEEE Trans on PAMI  Jul 89

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Date: Mon, 25 Sep 89 12:14:29 PDT
From: Vision-List-Request 
Subject:  New Service for Vision List: Relevant Journal Table of Contents

Thanks to Jon Webb and the Computer Science Library at CMU, the
Vision List will now be posting the table of contents for select
relevant journals. These table of contents will be placed at the
end of the List in order to avoid cluttering up subscriber
discussion and comments. The goal of these indices is to simplify
the identification of current relevant literature and help us all
better manage our time. 

The journals include: IEEE Journal on Robotics and Automation (JRA),
IEEE Transactions on Pattern Analysis and Machine Intelligence
(TPAMI), International Journal on Computer Vision (IJCV), and
Perception. We may also include CVGIP and Spatial Vision. JRA often
has interesting vision articles, though it is not specifically vision
oriented: please let me know if you believe it should be omitted.

Comments are invited and encouraged.

phil...

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Date: 19 Sep 89 05:41:53 GMT
From: harnad@phoenix.princeton.edu (S. R. Harnad)
Subject: BBS Call for Commentators: Visual Search & Complexity
Keywords: computer vision, natural vision, complexity theory, brain
Organization: Princeton University, NJ

Below is the abstract of a forthcoming target article to appear in
Behavioral and Brain Sciences (BBS), an international,
interdisciplinary journal that provides Open Peer Commentary on
important and controversial current research in the biobehavioral and
cognitive sciences. Commentators must be current BBS Associates or
nominated by a current BBS Associate. To be considered as a
commentator on this article, to suggest other appropriate
commentators, or for information about how to become a BBS Associate,
please send email to:
	 harnad@princeton.edu              or write to:
BBS, 20 Nassau Street, #240, Princeton NJ 08542  [tel: 609-921-7771]


Analyzing Vision at the Complexity Level

John K. Tsotsos

Department of Computer Science,
University of Toronto and
The Canadian Institute for Advanced Research

The general problem of visual search can be shown to be
computationally intractable in a formal complexity-theoretic sense,
yet visual search is widely involved in everyday perception and
biological systems manage to perform it remarkably well. Complexity
level analysis may resolve this contradiction. Visual search can be
reshaped into tractability through approximations and by optimizing
the resources devoted to visual processing. Architectural constraints
can be derived using the minimum cost principle to rule out a large
class of potential solutions. The evidence speaks strongly against
purely bottom-up approaches to vision. This analysis of visual search
performance in terms of task-directed influences on visual information
processing and complexity satisfaction allows a large body of
neurophysiological and psychological evidence to be tied together.


Stevan Harnad  
INTERNET:  harnad@confidence.princeton.edu   harnad@princeton.edu
srh@flash.bellcore.com      harnad@elbereth.rutgers.edu    harnad@princeton.uucp
CSNET:    harnad%confidence.princeton.edu@relay.cs.net
BITNET:   harnad1@umass.bitnet      harnad@pucc.bitnet       (609)-921-7771

------------------------------

Date: 25 Sep 89 18:33:33 GMT
From: finin@prc.unisys.com (Tim Finin)
Subject: street address for IEEE CAIA-90 submissions
Organization: Unisys Paoli Research Center, PO Box 517, Paoli PA 19301
				     
      REMINDER ----- IEEE CAIA-90 ----- DEAD LINE 9/29 ----- REMINDER
				     
		  6th IEEE Conference on AI Applications

For those colleagues who depend on express mailing (don't we all?),
here is the street address to use:

                      Se June Hong (Room 31-206)
                      IBM T. J. Watson Research Center
                      Route 134 (Kitchawan) and Taconic
                      (PO box 218 if regular post)
                      Yorktown Heights, NY  10598

Tim Finin                     finin@prc.unisys.com (internet)
Unisys Paoli Research Center  ..!{psuvax1,sdcrdcf,cbmvax}!burdvax!finin (uucp)
PO Box 517                    215-648-7446 (office), 215-386-1749 (home),

------------------------------

Posted-Date: Thu, 21 Sep 89 13:46:14 CDT
From: ml90@cs.utexas.edu (B. Porter and R. Mooney)
Date: Thu, 21 Sep 89 13:46:14 CDT
Subject: 7th Intern. Conf. on Machine Learning@@



                 SEVENTH INTERNATIONAL CONFERENCE ON MACHINE
                          LEARNING: CALL FOR PAPERS


     The Seventh International Conference on Machine Learning   will  be
     held  at  the  University  of Texas in  Austin during June  21--23,
     1990.  Its goal is   to  bring  together   researchers   from   all
     areas   of  machine  learning.   The   conference    will   include
     presentations   of refereed papers,  invited  talks,   and   poster
     sessions.   The   deadline    for  submitting papers is February 1,
     1990.

                               REVIEW CRITERIA

     In order  to ensure  high   quality papers, each   submission  will
     be  reviewed   by   two  members    of   the  program committee and
     judged  on clarity,  significance,    and  originality.   All  sub-
     missions  should contain new work, new results, or major extensions
     to prior work.   If the  paper  describes  a  running   system,  it
     should explain that system's representation of  inputs and outputs,
     its performance component, its learning  methods,  and  its evalua-
     tion.    In    addition to  reporting advances in current areas  of
     machine learning, authors  are  encouraged  to  report  results  on
     exploring novel learning tasks.


                            SUBMISSION OF PAPERS

     Each  paper must  have a cover   page  with  the  title,   author's
     names,  primary   author's  address  and  telephone number,  and an
     abstract of about 200 words. The  cover  page   should  also   give
     three  keywords  that  describe  the research. Examples of keywords
     include:

     PROBLEM AREA             GENERAL APPROACH       EVALUATION CRITERIA

     Concept learning         Genetic algorithms     Empirical evaluation
     Learning and planning    Empirical methods      Theoretical analysis
     Language learning        Explanation-based      Psychological validity
     Learning and design      Connectionist
     Machine discovery        Analogical reasoning

     Papers are  limited  to 12 double-spaced  pages (including  figures
     and  references),  formatted  with   twelve  point font.    Authors
     will be notified of  acceptance  by  Friday,  March  23,  1990  and
     camera-ready copy is due by April 23, 1990.


     Send papers (3 copies) to:         For information, please contact:

     Machine Learning Conference        Bruce Porter or Raymond Mooney
     Department of Computer Sciences    ml90@cs.utexas.edu
     Taylor Hall 2.124                  (512) 471-7316
     University of Texas at Austin
     Austin, Texas 78712-1188



------------------------------

Date: Fri, 22 Sep 89 10:29:21 EDT
Subject: IEEE Jrnl of Robotics and Automation  Aug 89
From: ES.Library@B.GP.CS.CMU.EDU

                                  REFERENCES

[1]   Ahmad, Shaheen and Luo, Shengwu.
      Coordinated Motion Control of Multiple Robotic Devices for Welding and
         Redundancy Coordination through Constrained Optimization in Cartesian
         Space.
      IEEE Journal of Robotics and Automation 5(4):409-417, August, 1989.

[2]   ElMaraghy, Hoda A. and Payandeh, S.
      Contact Prediction and Reasoning for Compliant Robot Motions.
      IEEE Journal of Robotics and Automation 5(4):533-538, August, 1989.

[3]   Hannaford, Blake.
      A Design Framework for Teleoperators with Kinesthetic Feedback.
      IEEE Journal of Robotics and Automation 5(4):426-434, August, 1989.

[4]   Jacak, Witold.
      A Discrete Kinematic Model of Robots in the Cartesian Space.
      IEEE Journal of Robotics and Automation 5(4):435-443, August, 1989.

[5]   Kumar, Vijay and Waldron, Kenneth J.
      Suboptimal Algorithms for Force Distribution in Multifingered Grippers.
      IEEE Journal of Robotics and Automation 5(4):491-498, August, 1989.

[6]   Kusiak, Andrew.
      Aggregate Scheduling of a Flexible Machining and Assembly System.
      IEEE Journal of Robotics and Automation 5(4):451-459, August, 1989.

[7]   Li, Chang-Jin.
      An Efficient Method for Linearization of Dynamic Models of Robotic
         Manipulators.
      IEEE Journal of Robotics and Automation 5(4):397-408, August, 1989.

[8]   Martin, D. P.; Baillieul, J.; and Hollerbach, J. M.
      Resolution of Kinematic Redundancy Using Optimization Techniques.
      IEEE Journal of Robotics and Automation 5(4):529-533, August, 1989.

[9]   Murray, John J. and Lovell, Gilbert H.
      Dynamic Modeling of Closed-Chain Robotic Manipulators and Implications
         for Trajectory Control.
      IEEE Journal of Robotics and Automation 5(4):522-528, August, 1989.

[10]  Pfeffer, Lawrence E.; Khatib, Oussama; and Hake, J.
      Joint Torque Sensory Feedback in the Control of a PUMA Manipulator.
      IEEE Journal of Robotics and Automation 5(4):418-425, August, 1989.

[11]  Rodriguez, Guillermo.
      Recursive Forward Dynamics for Multiple Robot Arms Moving a Common Task
         Object.
      IEEE Journal of Robotics and Automation 5(4):510-521, August, 1989.

[12]  Seraji, Homeyoun.
      Configuration Control of Redundant Manipulators: Theory and
         Implementation.
      IEEE Journal of Robotics and Automation 5(4):472-490, August, 1989.

[13]  Sorensen, Brett R.; Donath, Max; Yang, Guo-Ben; and Starr, Roland C.
      The Minnesota Scanner: A Prototype Sensor for Three-Dimensional Tracking
         of Moving Body Segments.
      IEEE Journal of Robotics and Automation 5(4):499-509, August, 1989.

[14]  Tsujimura, Takeshi and Yabuta, Tetsuro.
      Object Detection by Tactile Sensing Method Employing Force/Torque
         Information.
      IEEE Journal of Robotics and Automation 5(4):444-450, August, 1989.

[15]  Wang, Y. F. and Aggarwal, J. K.
      Integration of Active and Passive Sensing Techniques for Representing
         Three-Dimensional Objects.
      IEEE Journal of Robotics and Automation 5(4):460-471, August, 1989.


------------------------------

Date: Fri, 22 Sep 89 10:30:50 EDT
Subject: IEEE Trans on PAMI  Jul 89
From: ES.Library@B.GP.CS.CMU.EDU

                                  REFERENCES

[1]   Chen, David Shi.
      A Data-Driven Intermediate Level Feature Extraction Algorithm.
      IEEE Transactions on Pattern Analysis and Machine Intelligence
         PAMI-11(7):749-758, July, 1989.

[2]   Chen, Ming-Hua and Yan, Ping-Fan.
      A Multiscale Approach Based on Morphological Filtering.
      IEEE Transactions on Pattern Analysis and Machine Intelligence
         PAMI-11(7):694-700, July, 1989.

[3]   Gath, I. and Geva, A. B.
      Unsupervised Optimal Fuzzy Clustering.
      IEEE Transactions on Pattern Analysis and Machine Intelligence
         PAMI-11(7):773-781, July, 1989.

[4]   Mallat, Stephane G.
      A Theory for Multiresolution Signal Decomposition: The Wavelet
         Representation.
      IEEE Transactions on Pattern Analysis and Machine Intelligence
         PAMI-11(7):674-693, July, 1989.

[5]   Maragos, Petros.
      Pattern Spectrum and Multiscale Shape Representation.
      IEEE Transactions on Pattern Analysis and Machine Intelligence
         PAMI-11(7):701-716, July, 1989.

[6]   Peleg, Shmuel; Werman, Michael; and Rom, Hillel.
      A Unified Approach to the Change of Resolution: Space and Grey-Level.
      IEEE Transactions on Pattern Analysis and Machine Intelligence
         PAMI-11(7):739-742, July, 1989.

[7]   Sanz, Jorge L. C. and Huang, Thomas T.
      Image Representation by Sign Information.
      IEEE Transactions on Pattern Analysis and Machine Intelligence
         PAMI-11(7):729-738, July, 1989.

[8]   Shah, Y. C,; Chapman, R.; and Mahani, R. B.
      A New Technique to Extract Range Information.
      IEEE Transactions on Pattern Analysis and Machine Intelligence
         PAMI-11(7):768-773, July, 1989.

[9]   Strobach, Peter.
      Quadtree-Structured Linear Prediction Models for Image Sequence
         Processing.
      IEEE Transactions on Pattern Analysis and Machine Intelligence
         PAMI-11(7):742-748, July, 1989.

[10]  Usner, Michael and Eden, Murray.
      Multiresolution Feature Extraction and Selection for Texture
         Segmentation.
      IEEE Transactions on Pattern Analysis and Machine Intelligence
         PAMI-11(7):717-728, July, 1989.

[11]  Yeshurun, Yehezkel and Schwartz, Eric L.
      Cepstral Filtering on a Columnar Image Architecture: A Fast Algorithm
         for Binocular Stereo Segmentation.
      IEEE Transactions on Pattern Analysis and Machine Intelligence
         PAMI-11(7):759-767, July, 1989.

------------------------------

End of VISION-LIST
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